Hello! I'm

Gurpreet Singh

Generative AI Engineer & Developer


Project Completed


Marketing Award


Years Experience


Happy Clients

About Me 

Welcome to my portfolio! I am a dedicated generative AI engineer with a passion for crafting intelligent systems that push the boundaries of creativity and innovation. With a strong foundation in artificial intelligence, machine learning, and natural language processing, I specialize in developing algorithms and models that autonomously generate original content across various mediums.

  • Key Skills and Expertise:

AI Development: Proficient in designing, developing, and implementing AI algorithms and models using state-of-the-art technologies and methodologies.

  • Programming Languages:
    Skilled in Python, TensorFlow, PyTorch, and other relevant languages and frameworks essential for AI development.

  • Creative Problem-Solving: Experienced in leveraging advanced techniques to address complex challenges and achieve desired outcomes in generative AI projects.

  • Text Generation: Created innovative text generation models capable of producing coherent and contextually relevant content across different domains and styles.

  • Image Synthesis: Developed algorithms for image synthesis, enabling the generation of realistic and visually appealing images based on specific criteria and input data.

  • Music Composition: Engineered AI systems for music composition, allowing for the generation of original compositions in various genres and musical styles.

Ethical Considerations:

I am deeply committed to upholding ethical principles in AI development. I prioritize fairness, transparency, and accountability in all my projects, actively engaging in discussions surrounding AI ethics and implementing best practices to mitigate biases and risks.

Collaborative Approach:

I thrive in collaborative environments and enjoy working closely with interdisciplinary teams to identify use cases, gather requirements, and iterate on solutions that meet both technical objectives and creative aspirations.

My Skills

Artificial Intelligence

Machine Learning














Large Language Model


Natural Language









Java Script











Data Scientist 

  • Supervised time series forecasting efforts in relation to customer service dynamic staffing and food logistics.
  • Supported a data product strategy aiming to leverage large language models to gain insights into the voice of the customer in real time.
  • Acted as a key stakeholder of engineering teams in their quest to transition toward a more decoupled architecture of microservices by identifying and prioritizing the work required to transform any related ETL ingestion logic.
  • Contributed to a failover plan to build resilience in the company's analytics stack, focusing on ETL redundancy, vendor, and contractor management.
  • Doubled the size of the data engineering team to better support stakeholders' needs across marketing, finance, operations, and engineering departments.
  • Performed as a key stakeholder of the customer experience and engineering teams in the context of migration from Kustomer to Gladly, with a particular emphasis on downstream data processing and API integrations.

Technologies: SQL, Python 3, ETL Tools, Google BigQuery, R, Python, Pandas, Team Leadership, Data Science, Generative Pre-trained Transformers (GPT), GPT, Natural Language Processing (NLP), Statistics, Data Engineering, ETL, PostgreSQL, REST APIs, JSON, CSV, Time Series, Data Mining, Data Modeling, Data Reporting, JavaScript, Tableau, Neural Networks, Data Analytics, Web Scraping, Artificial Intelligence (AI), Hugging Face, Project Management, Regex, Data Pipelines, Financial Forecasting, Generative Artificial Intelligence (GenAI), Large Language Models (LLMs), Google Cloud Platform (GCP), AI Programming, Data Scientist, Statistical Analysis, Databases, Data Analysis, Statistical Modeling

Aptron Noida (India)

02/23 - 10/2023

Generative AI Engineer

  • Developed cutting-edge generative models: Designed, implemented, and fine-tuned GANs, VAEs, or Transformers for image, text, or music generation.
  • Optimized model performance: Enhanced stability, reduced mode collapse, and improved sample quality for efficient and scalable models.
  • Implemented novel architectures and techniques: Contributed to advancements in generative modeling through innovative approaches and open-source contributions.
  • Applied generative models to real-world problems: Solved diverse challenges in computer vision, NLP, audio synthesis, and recommendation systems, driving tangible impact.
  • Collaborated with interdisciplinary teams: Engaged with data scientists, engineers, domain experts, and designers to deliver production-ready generative models.
  • Strong understanding of ML fundamentals: Proficient in optimization algorithms, regularization, loss functions, and evaluation metrics, informing robust model development.

Technologies: Amazon Web Services (AWS), Azure, Databricks, Spark, MLflow, Python 3, Data, Hugging Face, Project Management, Regex, Data Pipelines, Google Cloud Platform (GCP), Llama 2, AI Programming, Data Scientist, Statistical Analysis, Databases, Data Analysis, Statistical Modeling


10/2023 - Present

Generative AI Engineer

  • Developed innovative automation solutions: Designed and implemented cutting-edge generative AI algorithms to automate various processes and tasks for public use, enhancing efficiency and productivity.

  • Created and marketed automation applications: Developed custom automation applications leveraging generative AI technology, catering to diverse client needs and market demands. Successfully marketed and sold these applications to a wide audience.

  • Customized solutions for specific use cases: Tailored automation solutions to address specific use cases across different industries such as finance, healthcare, marketing, and manufacturing. Demonstrated adaptability and versatility in meeting client requirements.

  • Provided end-to-end project management: Managed the entire lifecycle of automation projects from requirement gathering and design to development, testing, deployment, and maintenance. Ensured timely delivery and client satisfaction throughout the project lifecycle.

  • Delivered tangible business value: Enabled clients to streamline workflows, reduce manual effort, minimize errors, and achieve significant cost savings through the implementation of automation solutions. Provided measurable business outcomes and ROI for clients.

  • Established a strong reputation for quality and reliability: Built a reputation for delivering high-quality, reliable automation applications that meet industry standards and exceed client expectations. Cultivated long-term relationships with clients through exceptional service and support.

Technologies: PHP, Apache2, Linux, MySQL, SAS, CSS2, HTML, Clustering, Customer Segmentation, Customer Lifetime Value, Data Science, Statistics, Time Series, Data Mining, Data Reporting, JavaScript, Data Analytics, Regex, Statistical Analysis, Databases, Data Analysis, Statistical Modeling


05/2023 - Present

My Latest Project

AI Application To Solve Tasks with BabyAGI

The AI-Enhanced Babyagi project aims to revolutionize the way parents interact with and care for their infants by integrating AI-driven solutions into everyday parenting tasks. This innovative system utilizes cutting-edge AI algorithms and sensor technology to provide real-time insights, personalized recommendations, and seamless assistance to parents throughout their child-rearing journey.

Build Cohere App With ElevenLab Integration

Creative Marketing Campaign

As part of my portfolio, I developed the Cohere App with ElevenLab Integration, a collaborative platform aimed at enhancing team communication and project management. This project showcases my skills in software development, API integration, and user interface design.

Building RAG Applications

The "Building RAG Applications" project is dedicated to revolutionizing the landscape of gaming accessibility, ensuring that individuals of all abilities can enjoy the immersive experience of interactive entertainment. By leveraging cutting-edge technologies and inclusive design principles, our project aims to break down barriers and create a more inclusive gaming environment for players with disabilities.


Evaluate and Improve your Chatbots with TruLens

The TruLens Chatbot Evaluation and Improvement project focuses on enhancing the performance and user experience of chatbots through systematic evaluation and targeted improvements. In this project, I utilized TruLens, a sophisticated evaluation framework, to assess various aspects of chatbot interactions such as accuracy, natural language understanding, response coherence, and user satisfaction.

Building an AI-Powered App with AI21 Labs and Stable Diffusion Integration

Creative Marketing Campaign

Building an AI-Powered App with AI21 Labs and Stable Diffusion Integration" project aims to empower aspiring developers with the knowledge and skills to create intelligent applications using AI21 Labs' powerful language models and integrating Stable Diffusion for enhanced capabilities. This tutorial provides step-by-step guidance on building an app that leverages AI21's advanced natural language processing capabilities and incorporates Stable Diffusion's cutting-edge features for improved text generation and understanding.

Build ChatGPT Plugin for image generation

This project is a groundbreaking initiative aimed at expanding the capabilities of ChatGPT, a state-of-the-art conversational AI model, to generate images based on textual input. Leveraging advanced techniques in generative modeling and image synthesis, this plugin enhances ChatGPT's functionality, allowing users to describe scenes, concepts, or objects in natural language and receive corresponding visual representations.

Build Vectara App In Legal Or Customer Support Use Cas

Creative Marketing Campaign

The creation of the Vectara App for Legal or Customer Support represents a pioneering effort in leveraging technology to streamline and enhance legal processes or customer support interactions. This innovative application integrates cutting-edge features tailored to address specific needs within the legal industry or customer support domain, offering unprecedented efficiency, accuracy, and user satisfaction.

Building Communicative Agents for Large Scale Language Model Exploration

The project on "Building Communicative Agents for Large Scale Language Model Exploration" is a pioneering endeavor aimed at leveraging state-of-the-art language models to develop communicative agents capable of engaging in complex and contextually rich conversations. The project focuses on exploring and harnessing the capabilities of large-scale language models to create conversational agents that exhibit human-like understanding and response generation.

Build an app with Llama 2 with Clarifai integration

Build an app with Llama 2, integrating Clarifai for image recognition. Set up Llama 2 framework, Clarifai API, and design conversational flows. Implement image recognition in Llama 2, allowing users to analyze images seamlessly. Test thoroughly, iterate based on feedback, and deploy for a seamless user experience with advanced image recognition.

Build an information retrieval Chatbot with Langchain

InfoBot is an innovative information retrieval chatbot designed to provide users with instant access to a wide range of information on diverse topics. Leveraging advanced natural language processing (NLP) techniques and integration with multiple data sources, InfoBot offers a seamless and interactive experience for users seeking information on various subjects.

Building an AI Agent-Powered Research Assistant App with LangChain

ResearchEase is an innovative mobile application empowered by advanced artificial intelligence (AI) agents, designed to streamline and enhance the research process for users across various disciplines. By leveraging cutting-edge natural language processing (NLP) algorithms and seamless integration with diverse data sources, ResearchEase offers users an intuitive and efficient platform for conducting research, gathering insights, and synthesizing information with unparalleled ease.

Building Search Powered Personal Assistant App with LangChain

ResearchEase is an innovative mobile application empowered by advanced artificial intelligence (AI) agents, designed to streamline and enhance the research process for users across various disciplines. By leveraging cutting-edge natural language processing (NLP) algorithms and seamless integration with diverse data sources, ResearchEase offers users an intuitive and efficient platform for conducting research, gathering insights, and synthesizing information with unparalleled ease.

ChatGpt Trading Agent

The "ChatGPT Trading Agent" is a pioneering project that integrates OpenAI's ChatGPT with trading platforms to create an AI-powered agent capable of assisting users in making informed trading decisions. Leveraging natural language processing (NLP) and deep learning capabilities of ChatGPT, the trading agent analyzes market data, financial news, and user input to provide personalized trading insights and recommendations.

E-commerce chatbot build with Redis, Langchain and ChatGPT

In This project, I led the development of an advanced chatbot tailored specifically for e-commerce platforms. This innovative solution seamlessly integrates three cutting-edge technologies—Redis, Langchain, and ChatGPT—to deliver a sophisticated conversational interface for users interacting with e-commerce systems.

Building Character-based Chatbot App using Powerful AI Model with PaLM2

Creative Marketing Campaign

The development of a character-based chatbot app represents a groundbreaking initiative aimed at creating a conversational interface powered by a cutting-edge AI model. This project focuses on harnessing the capabilities of advanced AI technologies to enable natural and engaging interactions between users and the chatbot.


  • Tent Hong Kong miles recommendations bus deal Amsterdam. Itinerary Budapest things to do frequent flyer. Motel hiking car rental airBnB nature. Group discount boat hotel foreign transit territory hospitality package. Last minute Amsterdam cabin flight city trip euro Paris kayak airmiles international country spa place.

    Alicia Rozabel

    Awesome Work

    Alicia Rozabel
  • From our initial consultation to the final delivery, the experience of working with Gurpreet Singh has been exceptional. His professionalism, responsiveness, and commitment to understanding our needs set him apart. Throughout the development of our AI application, Gurpreet Singh provided invaluable insights and guidance, ensuring that the end product exceeded our expectations. We're thrilled with the results and look forward to collaborating Gurpreet Singh on future projects

    David Brown

    Innovate Impact

    David Brown
  • Gurpreet Singh excels as a Generative AI engineer, transforming projects with his expertise. From personalized itineraries to recommendation systems, his work is revolutionary. Seamlessly integrating AI, he delivers exceptional results, enhancing user experiences. Professionalism, dedication, and innovation define [Gurpreet Singh]'s approach, making him an invaluable partner for cutting-edge development needs. With clear communication and a collaborative spirit, he ensures projects exceed expectations and stay ahead in a rapidly evolving industry. Gurpreet Singh is the go-to for pioneering solutions

    Zinedin Zlatan

    Perfect Work

    Zinedin Zlatan

4.00 (130+ Review) on Fiverr


4.00 (80+ Review) on Upwork


My Awards

JPMorgan Chase & Co. Global AI Finance and Business

I recently participated in JPMorgan Chase & Co.'s virtual job simulation on the Forage platform, and it was incredibly useful to understand what it might be like to participate in the Global Finance and Business Management internship at JPMorgan Chase & Co.

I worked on a project to learn about the skills needed to succeed in the GFBM internship. I practiced using Excel, PowerPoint, and Tableau and built my data analytics and communication skills in a real-world context.

Doing this program confirmed that I really enjoy working on complex financial problems and I’m excited to potentially apply these skills on the GFBM team at JPMorgan Chase & Co.
New skills!


AWS Machine Learning Foundation Scholarship Nenodegree by Udaicty

Udacity AWS Machine Learning Nanodegree (Scholarship Recipient)

  • Completed Udacity's rigorous AWS Machine Learning Nanodegree program with a scholarship, mastering key concepts and practical skills in machine learning using Amazon Web Services (AWS) cloud computing platform. Developed proficiency in building, training, and deploying machine learning models on AWS infrastructure, demonstrating a commitment to continuous learning and professional development in the field of artificial intelligence and cloud computing.

    Proficiency in machine learning concepts and algorithms
  • Hands-on experience with Amazon Web Services (AWS) cloud computing platform
  • Ability to build, train, and deploy machine learning models on AWS infrastructure
  • Knowledge of data preprocessing, feature engineering, and model evaluation techniques
  • Understanding of supervised and unsupervised learning methods
  • Familiarity with neural networks, deep learning, and natural language processing (NLP)
  • Experience with AWS SageMaker, AWS Lambda, AWS S3, and other AWS machine learning services
  • Strong problem-solving and analytical skills in the context of machine learning projects
  • Comfortable working with Python programming language and popular machine learning libraries such as TensorFlow and scikit-learn
  • Proficient in data visualization and interpretation using tools like Matplotlib and Seaborn

Cognizant Advanced Artificial Intelligences

I recently participated in Cognizant’s job simulation on the Forage platform, and it was incredibly useful to understand what it might be like to participate in a Data Science team, to work with Python and Google Colab in a realistic context and to produce, evaluate and improve a production machine learning model. 

Through this program I realized that I really enjoy researching and improving the performance of machine learning models and would love to apply what I've learned in Cognizant’s Data Science team.
Cognizant Artificial Intelligence Job Simulation on Forage - February 2024

Completed a job simulation focused on AI for Cognizant’s Data Science team.

Conducted exploratory data analysis using Python and Google Colab for one of Cognizant’s technology-led clients, Gala Groceries.

Prepare a Python module that contains code to train a model and output the performance metrics for the Machine Learning engineering team.

Communicated findings and analysis in the form of a PowerPoint slide to present the results back to the business.



DataBricks Advanced Generative AI 

Obtained certification in Generative AI from Databricks, a leading platform for data engineering and machine learning. The certification program covered advanced techniques and applications of generative models, providing comprehensive knowledge and practical skills in leveraging AI algorithms for creative and innovative solutions.


  • Generative Adversarial Networks (GANs): Proficient in designing and implementing GAN architectures for generating realistic data samples, including images, text, and other structured data.

  • Variational Autoencoders (VAEs): Experienced in building VAE models to learn latent representations of complex data distributions and generate new samples with controllable features.

  • Deep Learning with TensorFlow and PyTorch: Skilled in utilizing deep learning frameworks such as TensorFlow and PyTorch to implement and train generative models effectively.

  • Natural Language Processing (NLP): Familiarity with applying generative models in NLP tasks, including text generation, sentiment analysis, and language translation.

  • Image Generation and Manipulation: Proficient in using generative models to create and manipulate images, including style transfer, image-to-image translation, and image super-resolution.

Time Series Generation: Knowledgeable in generating synthetic time series data using generative models for various applications, including financial forecasting, anomaly detection, and simulation.

  • Model Evaluation and Optimization: Skilled in evaluating the performance of generative models using metrics such as inception score, Frechet Inception Distance (FID), and perceptual similarity. Proficient in optimizing model architectures and hyperparameters for improved performance.

  • Deployment and Scalability: Understanding of deploying generative models in production environments using scalable infrastructure and cloud computing platforms, including Databricks.

Work Inquiry

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