ADARSH S

Computer Science Engineering student passionate about Artificial Intelligence and Agentic AI, with strong hands-on experience in machine learning, deep learning, and NLP.

GitHub LinkedIn Email Resume

Core Skills

Python Python
PyTorch PyTorch
Scikit-learn Scikit-learn
LangChain
LangGraph
RAG
FastAPI FastAPI
Streamlit Streamlit
MongoDB MongoDB
SQL
Git Git/GitHub
Power BI
🎓

B.E. Computer Science and Engineering (Data Science)

Dayananda Sagar College of Engineering

2022 – 2026 | Bengaluru, Karnataka

CGPA: 9.09 / 10

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SYSTEMS BUILT

Production-grade AI systems deployed and documented

FLAGSHIP

AI Medical Assistant

Production RAG System

Full-stack medical document Q&A system with FastAPI backend and Streamlit frontend. Deployed to production (Render + Streamlit Cloud) with Pinecone vector storage and LangChain RAG pipeline.

LangChain FastAPI Pinecone Groq (Llama3-70B) Streamlit
✓ Deployed on Render + Streamlit Cloud
✓ Top-3 retrieval with Pinecone
✓ Hallucination prevention via prompt constraints
Live Demo GitHub →

Multi-Tool Chatbot

Tool Orchestration + Memory

LangGraph agent with 8 external tools (search, APIs) and SQLite memory persistence. Thread-based conversation isolation for multi-user support.

LangGraph Gemini 2.5 Flash SQLite Streamlit
✓ 8 integrated tools (search, weather, stocks, etc.)
✓ Persistent conversation memory
✓ Thread isolation for concurrent users
GitHub →

Gesture to Speech System

CNN-based Classification

Real-time gesture recognition system with 16 gesture classes using CNN. MediaPipe hand landmark detection (21 points) with gTTS for speech output.

PyTorch MediaPipe gTTS Computer Vision
✓ 16 gesture classes with self-curated dataset
✓ Real-time hand landmark detection
✓ Text-to-speech conversion
GitHub →

CERTIFICATIONS & ACHIEVEMENTS

Professional credentials and recognitions

Oracle

Oracle Cloud Infrastructure 2025 Certified Generative AI Professional

Validated expertise in designing, deploying, and managing generative AI solutions on Oracle Cloud, including model selection, prompt engineering, and responsible AI practices.

Anthropic

Introduction to Model Context Protocol

Gained practical understanding of MCP architecture for standardized model-tool communication, enabling scalable and interoperable AI agent systems.

Coursera

Machine Learning Specialization

Completed comprehensive training in supervised learning, neural networks, and model evaluation, with hands-on implementation of regression, classification, and optimization techniques.

DataCamp

Developing LLM Applications with LangChain

January 2026

Completed hands-on training in building production-ready LLM applications using LangChain, covering prompt chaining, tool integration, memory management, and deployment-oriented workflows.

Achievements

1st Runner-Up

The AI Hiring Show

August 2025

Secured second position by presenting TechPrep, an AI-powered career preparation platform that combines coding practice, AI-driven mock interviews, and performance analytics dashboards to help candidates systematically improve technical and interview readiness.