Hi there! 👋 I'm
Atharva Pagar
Passionate about building scalable, beautiful, and intelligent web applications. I love turning ideas into real-world products with clean code and great user experience.
About Me
I'm a Computer Science (AI & ML) undergraduate focused on building practical, production-style AI systems — repository-aware RAG applications, hybrid retrieval pipelines, reinforcement-learning trading agents, and local LLM tooling. Hands-on with Python, PyTorch, Qdrant, and Ollama, with a strong foundation in full-stack engineering using React.js and Next.js.
I'm currently pursuing a B.Tech in Computer Science & Engineering (AI & ML) at VIT Bhopal University, and actively seeking AI Engineer / GenAI Engineer / LLM Engineer internship roles involving RAG systems, applied reinforcement learning, and retrieval evaluation.
Download ResumeSkills
AI / GenAI
Reinforcement Learning
Deep Learning
Retrieval / Vector Search
Evaluation / Observability
Model Adaptation
Quant / Trading
Programming / Backend
Frontend / Infra
Work Experience
IT Support Assistant / Hardware Assistant at Yash Infotech
- Diagnosed and resolved system, hardware, OS, and basic network issues, strengthening troubleshooting and root-cause analysis skills.
- Assisted with small-scale network setups and basic configuration during client visits, maintaining equipment and documentation workflows under time constraints.
Projects
CodeSeek – Repository-Aware RAG Coding Assistant
A local-first, repository-aware RAG assistant combining Qdrant vector search with in-process BM25 and Reciprocal Rank Fusion (RRF) for hybrid retrieval across codebases. Features a scored intent-classification layer (10 intent families), two-layer source-attribution model, and a retrieval-evaluation harness (DeepEval, pytest) to catch hit errors and false-absence failures.
RL Trading Agent – LSTM/PPO Position-Sizing System
An offline reinforcement-learning trading research system using a shared LSTM actor-critic policy trained with PPO to learn continuous long/short position sizing from crypto market sequences. Includes hourly OHLCV feature pipelines, risk-aware reward components, GAE, walk-forward testing, feature ablation, and exposure-equivalent baseline comparison across BTC, ETH, and SOL.
Grid Trading Bot V3
A production-oriented algorithmic trading platform with a governed Python/FastAPI runtime, real-time telemetry, paper-trading engine, recovery-safe persistence, and a comprehensive Next.js operational dashboard.
Virtual Pen – Gesture-Based Drawing Tool
A computer vision application enabling users to draw using hand gestures with real-time hand tracking, color selection, and eraser features.
EventSnap – AI-Powered Event Photo Finder
Frontend for an AI-powered platform that identifies event photos using facial recognition. Includes photo upload, search flow, and results display.
VeggieMap – Hyperlocal Vendor Finder
Real-time platform to discover nearby vegetable vendors (shops & hawkers) with live GPS tracking, geospatial search, vendor dashboard, and favorites — built for mobile vendors sharing live location on an interactive map.
Education
B.Tech – Computer Science and Engineering (AI & ML)
VIT Bhopal University
- Specializing in Artificial Intelligence and Machine Learning.
- Building full-stack and AI-driven projects to apply classroom learning.
- Actively participating in hackathons and project-based learning.
Higher Secondary Certificate (HSC)
Unnati Secondary and Higher Secondary School
- Completed Higher Secondary education with a focus on Science.
Secondary School Certificate (SSC)
Espalier The Experimental School
- Completed Secondary education with distinction.
Certifications
Cloud Computing
NPTEL
Covered cloud fundamentals, IaaS, PaaS, SaaS, and deployment strategies on AWS including EC2, S3, IAM, and VPC.
Blockchain Developer
IBM
Learned blockchain fundamentals, smart contracts, Hyperledger Fabric, and decentralized application development.