profile-pic

Sanjiv Gupta

Sanjiv Gupta

Experience in fine-tuning and Prompt Engineering of LLMs such as GPT-3.5, Llama-2, and Mistral including RAG models. Proven expertise in Generative AI, Langchain, OpenAI models, Llamaindex, RAG, Hugging face, and LLM Finetuning. My journey in AI started with a strong foundation in Electrical and Electronics Engineering from MIT College of Engineering, Pune, which has been instrumental in developing my analytical and problem-solving skills. With a focus on RAG and chatbot technologies, we've crafted intelligent systems that have significantly improved client interaction and service delivery. My commitment to innovation and collaborative approach has been key in delivering projects that not only meet but exceed our client expectations, fostering a culture of excellence and continuous improvement within our organization.

  • Role

    AI/ML Engineer

  • Years of Experience

    5.8 years

  • Professional Portfolio

    View here

Skillsets

  • Deep Learning - 4 Years
  • Data Engineering - 3 Years
  • Generative AI - 2 Years
  • Python - 6 Years
  • AWS - 5 Years
  • Serverless - 4 Years
  • MLOps - 3 Years
  • Large Language Models (LLMs) - 2 Years
  • Vector Database - 2 Years
  • SQL/NoSQL databases - 4 Years

Professional Summary

5.8Years
  • Aug, 2019 - Present5 yr 1 month

    AI/ML/LLM Engineer

    Applied AI Consulting
  • Aug, 2018 - Jul, 2019 11 months

    Programming Analyst Trainee

    Cognizant
  • Apr, 2018 - Aug, 2018 4 months

    ML Engineer

    UshaiTechLabs Pvt Ltd

Applications & Tools Known

  • icon-tool

    Python

  • icon-tool

    MATLAB

  • icon-tool

    Django

  • icon-tool

    Docker

  • icon-tool

    Kubernetes

  • icon-tool

    Terraform

  • icon-tool

    Elasticsearch

  • icon-tool

    Kibana

  • icon-tool

    Kafka

  • icon-tool

    RabbitMQ

  • icon-tool

    Datadog

  • icon-tool

    Argo CD

  • icon-tool

    Cucumber

  • icon-tool

    Smartsheets

  • icon-tool

    LangChain

  • icon-tool

    PostgreSQL

  • icon-tool

    AWS (Amazon Web Services)

  • icon-tool

    FastAPI

Work History

5.8Years

AI/ML/LLM Engineer

Applied AI Consulting
Aug, 2019 - Present5 yr 1 month
    • Built a Specialized AI chatbot tailored for the QA community using Generative AI, Langchain, RAG, PGVector, Postgres DB, LLM Models to facilitate knowledge sharing.
    • Designed and Developed an innovative AI/ML Model testing platform with Synthetic Data Generation feature to test, analyze, and Interpret ML models using Python, Data Augmention, DynamoDB, and OpenAI API.
    • Debugged and implemented fixes for Data Analytics Platform using Python, Django, Docker, Kubernetes, Facebook Graph API, Twitter API, Datadog, Runscope, Argo CD, Elasticsearch, Kibana, Kafka, RabbitMQ ensuring data integrity and optimizing Performance.
    • Developed IVR call automation system using Plivo and custom trained AI models reducing call handling time by 50%, integrated AWS Transcribe with 98% transcription accuracy, and utilized OpenAI's AI language model for 90% accurate information extraction.
    • Developed in-house SaaS product Marxeed from scratch using Python, Serverless framework, Google Custom Search Engine, Sheets API, Slides API, Linkedin API, Ritekit API and AWS services, conducting unit tests with 90% code coverage, and implementing CI/CD Pipelines for deployment on multiple environments.
    • Developed CRM application utilizing Strapi CMS, Docker build images for different environments, deployed AWS ECS Fargate cluster.
    • Designed architecture for MS SQL Server to Postgres DB migration with 99% query conversion accuracy, wrote 200+ test cases with 95% coverage using Piggly.

Programming Analyst Trainee

Cognizant
Aug, 2018 - Jul, 2019 11 months
    • Engineered a Python equivalent BDD testing framework for CRAFT, initially developed in JAVA, enhancing testing efficiency and flexibility.
    • Automated script generation in Cucumber, decreasing test case development time by 60% and ensuring consistency and accuracy in testing procedures.
    • Conducted training sessions for team members on using the new testing framework, ensuring smooth adoption and transition.
    • Integrated additional functionalities into the testing framework using Nightwatch.js, such as parallel test execution and Reporting,resulting in a 30% reduction in test execution time.

ML Engineer

UshaiTechLabs Pvt Ltd
Apr, 2018 - Aug, 2018 4 months
    • Provided mentorship and guidance to over 50 Bachelors, Masters and Ph.D. students in developing projects related to Machine Learning and Computer Vision using Python and MATLAB.
    • Applied TensorFlow, PyTorch, and Scikit-learn to develop over 30 projects encompassing a wide range of machine learning techniques, including CNNs, RNNs, LSTMs, Classification, Regression, and Price prediction.
    • Led projects covering diverse areas such as NLP, Speech recognition, Object detection and Segmentation, Face recognition, and Sentiment analysis, providing students with exposure to various domains within machine learning and computer vision.
    • Oversaw the entire project lifecycle, including Exploratory data analysis (EDA), Data preprocessing, Feature selection, Model Training, and Testing, ensuring students gained hands-on experience in all aspects of project development.

Achievements

  • Implemented changes according to Social Media platforms API changelog, maintaining compatibility with evolving APIs and ensuring seamless integration with social media platforms.
  • Developed and deployed an IVR call automation system for Promantra, reducing claim status retrieval time by 50%.
  • Developed and implemented a BDD Automation code generation system using OpenAI model, resulting in a 60% reduction in time spent on writing automation scripts.
  • Spearheaded the design and implementation of the synthetic data generation feature, resulting in a 30% increase in data synthesis efficiency and a 50% reduction in time required for model testing setup.
  • Architect and develop the QualityX Chatbot using LangChain, seamlessly integrating with existing QA tools, resulting in a 40% reduction in average query response time.
  • Spearheaded the creation and management of AWS infrastructure using Serverless architecture, resulting in a 30% reduction in infrastructure costs and a 50% improvement in scalability.
  • Automated Smartsheets data updates, reducing manual effort by 80% and ensuring data accuracy and consistency.

Major Projects

8Projects

QualityX

Applied AI Consulting
Oct, 2023 - Dec, 2023 2 months
    • Architect and develop the QualityX Chatbot using LangChain, seamlessly integrating with existing QA tools, resulting in a 40% reduction in average query response time.
    • Develop a robust system for user contributions to the knowledge base, ensuring quality and relevance.
    • Implement secure storage for user interaction history, facilitating learning from past queries.
    • Design an intuitive onboarding process and create interactive tutorials to enhance user experience, leading to a 50% increase in user
    • Engagement within the first month of launch.
    • Monitor user feedback and analytics to enhance Chatbot performance and user satisfaction.

AiTest: AI Model Testing and Analysis

Applied AI Consulting
Aug, 2023 - Dec, 2023 4 months
    • Spearheaded the design and implementation of the synthetic data generation feature, resulting in a 30% increase in data synthesis efficiency and a 50% reduction in time required for model testing setup.
    • Integrated the platform with the ability to accept both model files and model endpoints, providing users with 70% more flexibility in testing models across various environments.
    • Implemented various testing modules, resulting in a 20% improvement in overall model testing coverage and a 40% increase in the detection of potential model vulnerabilities.
    • Developed data analysis tools to generate comprehensive graphs and visualizations for each test, providing users with actionable insights into their model's performance and behavior.

AiTest: Automation Copilot

Applied AI Consulting
May, 2023 - Aug, 2023 3 months
    • Developed and implemented a BDD Automation code generation system using OpenAI model, resulting in a 60% reduction in time spent on writing automation scripts.
    • Designed and implemented a solution enabling users to upload Selenium IDE recordings and automatically generates Feature files, Step Definitions, and Page Objects, reducing manual script writing time by 70%.
    • Utilized OpenAI's model to automate the generation of code artifacts, improving efficiency by 50% and reducing manual effort in script development.

Promantra

Applied AI Consulting
Feb, 2023 - Jul, 2023 5 months
    • Developed and deployed an IVR call automation system for Promantra, reducing claim status retrieval time by 50%.
    • Integrated AWS Transcribe for call audio transcription, achieving an accuracy rate of 95% in converting audio to text.
    • Implemented a dynamic dialing mechanism for accurate data retrieval and collaborated on system design and integration.

Analec DB Migration

Applied AI Consulting
Aug, 2022 - Jan, 2023 5 months
    • Designed and implemented the architecture for migrating MS SQL Server to PostgreSQL databases, ensuring a smooth transition process and minimizing downtime.
    • Successfully converted over 500 MS SQL server queries to PostgreSQL queries, achieving a 100% conversion rate and maintaining data integrity.
    • Developed comprehensive test cases for migrated queries, covering 100% of query functionalities and ensuring accuracy and reliability.

Skyword-Trackmaven

Applied AI Consulting
Apr, 2020 - Jan, 20232 yr 9 months

    Implemented changes according to Social Media platforms API changelog, maintaining compatibility with evolving APIs and ensuring seamless integration with social media platforms.

    Monitored Datadog dashboard for system performance and discrepancies, ensuring 99.9% uptime and proactively identifying potential issues.

    Automated Smartsheets data updates, reducing manual effort by 80% and ensuring data accuracy and consistency.

VedasLabs

Applied AI Consulting
Apr, 2020 - Jan, 20232 yr 9 months
    • Engineered a CRM application tailored for a social venture funding platform, enhancing user engagement and increasing platform adoption by 40%.
    • Developed Strapi deployment code, streamlining the deployment process and reducing deployment time by 50%.
    • Created Docker build images for different environments, improving development and testing efficiency by 30%.
    • Deployed AWS ECS Fargate cluster, achieving 99.9% uptime and ensuring high availability of the platform.

Marxeed

Applied AI Consulting
Oct, 2019 - Mar, 2020 5 months
    • Spearheaded the creation and management of AWS infrastructure using Serverless architecture, resulting in a 30% reduction in infrastructure costs and a 50% improvement in scalability.
    • Led the development of Python codebase for Marxeed, implementing robust and efficient algorithms to generate curated content for marketing campaigns, resulting in a 40% increase in content generation speed.
    • Orchestrated the implementation of CI/CD pipelines for seamless deployment across multiple environments, reducing deployment time by 60% and enhancing overall productivity.

Education

  • Bachelor of Engineering in Electronics and Telecommunications

    MIT College of Engineering (2018)
  • Diploma in Electronics and Telecommunications

    Cusrow Wadia Institute of Technology (2015)

Certifications

  • Aws certified developer - associate

    AWS
  • Aws machine learning - speciality

  • Aws machine learning foundations

  • Improving deep neural networks

  • Exploratory data analysis

  • Introduction to self-driving cars

  • Neural networks and deep learning

Interests

  • Badminton
  • Cricket
  • Trekking
  • Travelling