Hi, I'm Satyam Namdev
AI-ML Engineer @TunableLabs, USA
The human brain is a self-supervised, embodied learning system essentially the original CoT-powered, zero-shot generalizer. Feed it high quality data long enough, and it builds internal models that scale across tasks.
Work Experience
My professional journey in the tech industry
TunableLabs, San Francisco, USA
AI-ML Engineer ( Remote )
- Led the development of a Legal-AI RAG system with support, using multi-tenant support in Weaviate as the vector database. Added real-time web search features with Tavily and EXA APIs to fetch accurate information. Built AWS S3 integration to handle user document uploads and storage efficiently. Created a pipeline using Unstructured.io to read and break down different types of legal documents into useful sections.
- Architected multi-agent workflows using LangGraph (won internal hackathon worth $200), including dynamic entity extraction and schema mapping
- Developed secure user access with Supabase Auth integrated into a Next.js frontend
- Migrated an AI system from Gradio to FastAPI and NextJs that supports both local and API-based LLMs (OpenAI, Azure, Ollama, Groq), with a hybrid RAG pipeline using vector + full-text search and re-ranking for better results. Added multi-modal QA on documents with text, tables, and images, plus in-browser PDF viewer with citation highlights, relevance scores, and low-confidence warnings. Supported complex questions using breakdown methods and agent-based reasoning (ReAct, ReWOO). Made core retrieval and generation settings.
Self-employed
Freelance AI Engineer
- Delivered an ultra-fast SQL-aware chatbot achieving average query response times of < 2 seconds for live data analytics using defog-sqlcoder and Groq-LLM
- Enabled contextual schema reasoning and real-time interaction over WebSocket, backed by a secure Supabase data layer
- Followed modular architecture with pluggable LLM and SQL generation modules
- Ensured maintainability by documenting schema-driven query flows and encapsulating prompt logic
Education
My academic background and qualifications
Indian Institute of Technology, Madras
Bachelor of Science in Data Science and Applications
Pursuing advanced coursework in machine learning, statistics, and systems engineering, demonstrating a strong commitment by concurrently undertaking dual bachelor's degrees. Applied learning through hands-on projects involving Numpy, Scikit-learn, Lightgbm, XGBoost, and Jupyter-based experimentation, with outcomes such as getting 78 rank out of 2500+ students in IIT Madras's MLP competition. Regularly contributed to online AI communities and peer learning.
Courses: Mathematics, Statistics, ML Foundations, ML Techniques, ML Practices, Tools for Data Science, Python Programming, Data Structures and Algorithms, Artificial Intelligence
ABES Engineering College
Bachelor of Technology in Computer Science
Specialized in AI-centric system design and software development, pursuing this degree concurrently with a BSc from IIT Madras to build a comprehensive skillset. Held leadership roles in GFG and ACM chapters, organizing impactful tech talks and hackathons ( Aurora2024, ACPC-2k24 ). Practiced agile development methodologies in team settings, enhancing project delivery and collaboration during tech club events.
Courses: Data Structures and Algorithms, Computer Networks, Operating Systems, Database Management Systems, Computer Organization and Architecture, Object Oriented Programming, Discrete Mathematics, Linear Algebra, Calculus, Probability and Statistics