AI Engineer · B.Tech AI

S. Abhijit Rao

RAG, multi-agent workflows, and production AI systems. Building enterprise solutions as a freelance AI engineer.

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About Me

AI Engineer with production expertise in Retrieval-Augmented Generation (RAG) systems and multi-agent workflows. Reduced manual file search time at Nuevosol Energy through an Agentic RAG chatbot and streamlined video editing workflows at Prodigal AI, earning Intern of the Month (April 2025). Specialized in LangChain/LangGraph, vector databases, and backend AI development. Currently building enterprise AI solutions as a freelance engineer at Astraveda—Ask Astra chatbot and Click Astra OCR for petroleum analytics—with hands-on experience in agentic AI, LLM orchestration, and modern AI infrastructure.

IndiaB.Tech AI, Mahindra University
Emailsar.abhijit2003@gmail.com
Phone+91 9985727779
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Experience

Professional Experience

A timeline of my roles and key contributions in AI and software engineering.

Jan 2026 – Present

Astraveda

Freelance AI Engineer

Jan 2026 – PresentRemote

Architected and deployed production-ready website and web application, maintaining full ownership of development, infrastructure, and hosting operations for enterprise petroleum analytics platform.

Key responsibilities
  • Engineered full-stack solution leveraging Next.js, Tailwind CSS, Shadcn UI, FastAPI, PostgreSQL, LangChain, and LangGraph to deliver scalable AI-powered features across client-facing and internal systems
  • Accelerated development velocity using Claude Code, Google Gemini, Google Flow alongside AWS Amplify, AWS Lambda, Supabase, Groq, and Mistral AI for robust cloud infrastructure and LLM orchestration
  • Delivered two core AI capabilities: "Ask Astra" multi-agent conversational chatbot and "Click Astra" OCR solution for automated document processing
Website·App
Next.js
Tailwind CSS
Shadcn UI
FastAPI
PostgreSQL
LangChain
LangGraph
AWS Amplify
AWS Lambda
Supabase
Groq
Mistral AI

Nov 2025 – Dec 2025

Nuevosol Energy Pvt Ltd

AI Intern

Nov 2025 – Dec 2025Head office Madhapur, Hyderabad, India

Engineered enterprise Agentic RAG chatbot enabling team members to query internal documentation through natural language, dramatically reducing information retrieval time and improving operational efficiency.

Key responsibilities
  • Architected multi-agent retrieval system using LangGraph orchestration, OpenAI LLMs, and ChromaDB vector database, implementing semantic search across company knowledge base
  • Deployed full-stack solution with Next.js frontend (Vercel) and FastAPI backend (Render), delivering production-ready chat interface with real-time response capabilities
LangGraph
OpenAI
ChromaDB
Next.js
FastAPI
Vercel
Render

Feb 2025 – June 2025

Prodigal AI

Agentic AI Intern

Feb 2025 – June 2025Remote, India

Worked on Dhanur AI, a cutting-edge video editing automation platform by Prodigal AI that transforms raw user video into polished YouTube/Shorts-ready content using Langchain framework.

Key responsibilities
  • Implemented Retrieval-Augmented Generation (RAG) pipelines integrated with vector databases for intelligent context retrieval of b-roll, filters and transition segmentation using ChromaDB
  • Reduced manual editing time significantly through intelligent automation, enhancing creator productivity
Achievements
  • ★ Awarded Intern of the Month in April 2025 for exceptional performance and innovation
Python
LangChain
ChromaDB
RAG
Vector Databases
FastAPI

Recognition

Achievements & Education

Work

Projects

A showcase of my work in AI/ML, data science, and software development

Multi-Agent Financial Chatbot System

Modular multi-agent system using open-source LLMs with Phidata framework for real-time financial analytics.

Python
LangChain
LangGraph
Phidata
LLaMA 3.1
+4
  • 1

    Multi-agent architecture with specialized roles for finance and web research

  • 2

    High-performance response times using Groq inference APIs

  • 3

    Real-time stock data retrieval and analytics capabilities

Code

Natural Language → SQL Agent

Conversational agent using LangGraph to generate and execute SQL queries from plain English questions.

Python
LangChain
LangGraph
SQLite
Streamlit
+1
  • 1

    3-node graph architecture for query generation and execution

  • 2

    Interactive Streamlit UI with SQL preview and results

  • 3

    Syntactically-correct SQL generation from natural language

Code

NASA Turbofan Jet Engine RUL Prediction

Machine learning model to predict Remaining Useful Life (RUL) of turbofan engines using NASA's dataset.

Python
Scikit-Learn
Pandas
NumPy
Random Forest
+1
  • 1

    Data preprocessing and feature engineering for time-series sensor data

  • 2

    Random Forest model optimization for accurate RUL predictions

  • 3

    Team collaboration in hackathon environment

Code

Skills

Technical Skills

Programming Languages

PythonSQLJavaC++Node.js

Technologies & Frameworks

LangChainLangGraphLangsmithPhidataFastAPIStreamlitScikit-LearnReactExpress.jsTensorFlowOpenAI APIsChromaDBHugging Face

Concepts & Expertise

Retrieval-Augmented Generation (RAG)Multi-Agent WorkflowsAPI DevelopmentModel EvaluationVersion Control (Git)Data PreprocessingDebugging with LangsmithVector DatabasesSoftware TestingSDLC

Soft Skills

Collaborative TeamworkAdaptabilityCreativityProblem Solving

GitHub

Contribution activity from my GitHub profile

Contributions in the last year

GitHub contribution heatmap for Abhijit7979 (last year)
Data from public contributions · updates automaticallyView profile

Contact

Get In Touch

Interested in collaborating on AI projects or discussing opportunities? I’d love to hear from you.

Email
sar.abhijit2003@gmail.com
Phone
+91 9985727779
Location

India

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