Gaurav Shrivastav

AI Engineer | ML Developer

|

About

I'm an AI Engineer passionate about developing intelligent systems that solve complex real-world problems. With deep expertise in Natural Language Processing, Generative AI, and end-to-end machine learning development, I specialize in creating scalable solutions that bridge cutting-edge research with practical applications.

Currently at Santa Fe Research Pvt. Ltd., I've architected and deployed AI systems ranging from large-scale product matching platforms achieving 95%+ accuracy across multiple verticals to real-time conversational AI agents and multilingual chatbots supporting 90+ languages.

My approach combines rigorous technical expertise with creative problem-solving, always focusing on building systems that are not just technically sound, but genuinely useful and scalable.

Core Focus

Natural Language Processing
Generative AI Systems
LLM Integration & Fine-tuning
Real-time AI Inference
Scalable ML Architecture

Details

LocationIndia
Experience3+ Years
EducationB.E. Computer Science
GPA9.0/10
01001000 01100101 01101100 01101100 01101111
01010111 01101111 01110010 01101100 01100100
01000001 01001001 00100000 01000101 01101110
01100111 01101001 01101110 01100101 01100101
01110010 01101001 01101110 01100111 00100000
01110100 01101000 01100101 00100000 01100110

Experience

Jun 2022 - Present
Chennai, Tamil Nadu

AI/ML Developer

Santa Fe Research Pvt. Ltd.

Leading AI/ML development initiatives and research projects

Architected large-scale product matching system achieving 95%+ accuracy across 4+ verticals including pet supplies, auto parts, and grocery

Developed AI-powered task management application with Jira integration, automating employee status updates and manager reporting workflows

Built real-time AI voice agent using OpenAI API and Twilio with Australian-accented debt collection capabilities and live call support

Researched and implemented advanced AI/ML techniques with optimized, scalable project architectures

Nov 2021 - May 2022
Chennai, Tamil Nadu

Machine Learning Intern

Santa Fe Research Pvt. Ltd.

End-to-end development of multilingual AI systems

Led complete development lifecycle of scalable multilingual chatbot supporting 90+ languages using Rasa and Haystack frameworks

Optimized intent recognition algorithms and Wikipedia-based knowledge retrieval for accurate multilingual response generation

Deployed production-ready solution on AWS EC2 with enhanced performance metrics and horizontal scalability

Skills

Tech Stack

Python
TensorFlow
PyTorch
Scikit-learn
Pandas
NumPy
Flask
FastAPI
Python
TensorFlow
PyTorch
Scikit-learn
Pandas
NumPy
Flask
FastAPI
Streamlit
AWS
Docker
PostgreSQL
MongoDB
Git
GitHub
Jupyter
Streamlit
AWS
Docker
PostgreSQL
MongoDB
Git
GitHub
Jupyter
OpenAI
Supabase
Vercel
JavaScript
TypeScript
React
Next.js
Tailwind
OpenAI
Supabase
Vercel
JavaScript
TypeScript
React
Next.js
Tailwind

Programming & Frameworks

Python (NumPy, Pandas, Scikit-Learn)
Flask & FastAPI
TensorFlow & PyTorch
C Programming
SQL & NoSQL Databases

AI & Machine Learning

Natural Language Processing
Deep Learning & Transformers
Generative AI & LLM Integration
Langchain & LlamaIndex
AI Agents & CrewAI
LangGraph & Conversational AI

Data & Analytics

Data Visualization (Matplotlib, Seaborn)
Vector Databases & Embeddings
Web Scraping & Data Engineering
Statistical Analysis
ETL Pipelines

Cloud & DevOps

Amazon Web Services (AWS)
EC2 & Cloud Architecture
Streamlit & Deployment
Supabase & Backend Services
HuggingFace & Model Hosting

Core Competencies

Problem SolvingSystem ArchitectureTeam LeadershipTechnical CommunicationResearch & InnovationAgile Development

Projects

DeepResearchAI

AI-Powered Research Automation

PythonLangGraphGPT-4SupabaseStreamlitTavily API

Advanced AI agent system leveraging LangGraph and GPT-4 for automated research report generation. Transforms complex research tasks into structured, comprehensive reports within minutes through intelligent web search orchestration and content synthesis.

Automated research planning and execution pipeline
Real-time web data integration and fact verification
Secure authentication and report storage system
Sub-2-minute report generation with 95%+ accuracy

DocQA System

Intelligent Documentation Assistant

PythonScrapySQLite3RAGHybrid SearchLLM

Sophisticated Retrieval-Augmented Generation system that transforms any documentation into an intelligent Q&A interface. Features advanced web crawling, hybrid search capabilities, and context-aware response generation for precise technical assistance.

Automated documentation crawling and indexing
Hybrid search with semantic re-ranking
Context-aware answer generation with source attribution
Optimized SQLite storage for fast retrieval

NutriAI

Personalized Nutrition Intelligence

PythonLangchainLlamaIndexMulti-LLMStreamlitNutrition APIs

Comprehensive nutritional analysis platform powered by multiple LLMs and advanced AI frameworks. Provides real-time food analysis, personalized meal planning, and interactive nutrition guidance through an intuitive conversational interface.

Multi-LLM ensemble for comprehensive food analysis
Personalized meal planning with dietary restrictions
Interactive nutrition chatbot with health insights
Real-time nutritional breakdown and recommendations

AI-powered Task Manager

Intelligent Project Management

PythonCrewAIAI AgentJira APIFastAPI

Developed an AI-powered task management app that integrates with Jira, automating employee status updates and manager reports, improving team productivity and communication through intelligent workflow automation.

Seamless Jira integration for automated updates
AI-driven task prioritization and assignment
Automated manager reporting and team insights
Enhanced team productivity and communication workflows

Real-time AI Voice Agent

Conversational AI Assistant

PythonOpenAILiveKitTwilioReal-time Processing

Built a real-time AI voice agent using OpenAI's API and Twilio, creating an Australian-accented debt collection assistant with live call support, enhancing customer interaction and collection efficiency.

Real-time voice processing and response generation
Australian accent customization for localized interactions
Live call support with intelligent conversation handling
Enhanced customer interaction and collection efficiency

Multilingual Chatbot

Global Communication Platform

PythonRasaHaystackAWS EC2NLPWikipedia API

Led the end-to-end development of a scalable multilingual chatbot supporting 90+ languages using Rasa, Haystack, and AWS EC2, optimizing intent recognition and retrieval of Wikipedia-based knowledge for accurate multilingual responses.

Support for 90+ languages with high accuracy
Optimized intent recognition across multiple languages
Wikipedia-based knowledge retrieval system
Scalable deployment on AWS EC2 infrastructure

E-commerce Product Matching (LinkMatching)

Large-scale Matching System

PythonMachine LearningData EngineeringETLProduct Matching

Led data preprocessing and engineering efforts for a large-scale product matching system across multiple stores, achieving over 95% accuracy across 4+ verticals including pet supplies, auto parts, grocery, and more.

95%+ accuracy across multiple product verticals
Large-scale data preprocessing and engineering
Multi-store product matching capabilities
Optimized algorithms for pet supplies, auto parts, and grocery sectors
?
?
?
?

Frequently Asked Questions

Common questions about my AI engineering expertise, experience, and approach to building intelligent systems.

I have 3+ years of professional experience in AI/ML development, currently working as an AI/ML Developer at Santa Fe Research Pvt. Ltd. since June 2022. I've successfully architected and deployed large-scale AI systems achieving 95%+ accuracy across multiple verticals, built real-time AI voice agents, and developed multilingual chatbots supporting 90+ languages.

I specialize primarily in Python with extensive experience in AI/ML frameworks including TensorFlow, PyTorch, Langchain, and LlamaIndex. I'm proficient in web frameworks like Flask and FastAPI, and have hands-on experience with cloud platforms like AWS. I also work with modern tools like CrewAI, LangGraph, and various LLM APIs including OpenAI's GPT models.

I have extensive experience integrating and fine-tuning LLMs for various applications. I've worked with GPT-4, built multi-LLM ensemble systems, and created applications using Langchain and LlamaIndex. My projects include AI-powered research automation, intelligent documentation systems, and conversational AI agents. I'm skilled in prompt engineering, RAG implementations, and LLM optimization for production environments.

I've worked on diverse AI projects including: DeepResearchAI (automated research report generation), real-time AI voice agents with accent customization, multilingual chatbots supporting 90+ languages, large-scale product matching systems, AI-powered task management with Jira integration, intelligent documentation Q&A systems, and personalized nutrition analysis platforms. Each project demonstrates end-to-end AI development from conception to deployment.

I hold a Bachelor of Engineering (B.E.) in Computer Science with an impressive GPA of 9.0/10. My strong academic foundation in computer science, combined with practical industry experience, has equipped me with both theoretical knowledge and hands-on skills in AI/ML development.

Yes, I'm open to freelance AI/ML projects, consulting opportunities, and technical collaborations. I'm particularly interested in projects involving NLP, generative AI, LLM integration, and scalable AI system development. I'm also available for speaking engagements and open source contributions. Feel free to reach out to discuss your specific requirements.

My approach combines rigorous technical expertise with creative problem-solving, focusing on building systems that are not just technically sound but genuinely useful and scalable. I emphasize achieving measurable results (like the 95%+ accuracy in my product matching system) and creating production-ready solutions. I also prioritize user experience and system reliability in all my AI implementations.

I actively engage with the AI community through various channels. I publish technical content on Medium, contribute to open source projects on GitHub, and continuously experiment with new AI frameworks and models. I follow the latest research papers, participate in AI conferences, and maintain active profiles on professional networks. This helps me stay at the forefront of AI innovation and incorporate cutting-edge techniques into my projects.

Yes, I have extensive experience working in collaborative environments and integrating AI solutions with existing systems. My work with Jira integration for task management and various API integrations demonstrates my ability to work within established tech stacks. I'm comfortable with agile development methodologies and can adapt to different team structures and project requirements.

Have More Questions?

I'm always happy to discuss AI projects, technical challenges, or collaboration opportunities.

Get In Touch

Contact

Let's Connect

I'm always interested in discussing innovative AI projects, collaboration opportunities, and the future of machine learning. Whether you have a project in mind or just want to connect, I'd love to hear from you.

Social

Get In Touch

Fill the form to get in touch

© 2025 Gaurav Shrivastav. Designed and developed with precision.

Built with v0