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Paarth01/README.md
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πŸ“© [email protected]Β Β·Β πŸŽ“ B.Tech CSE, Graphic Era Deemed University (’27)

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🎯 About Me

πŸ“Œ Quick Overview β€” click to toggle
  • πŸŽ“ B.Tech Computer Science @ Graphic Era Deemed University (graduating May 2027, GPA 8.25/10)
  • πŸš€ Seeking SWE / AI-ML / Data Science internships
  • πŸ’» Full-stack developer β€” Python, TypeScript, C++
  • 🧠 Passionate about LLM applications, geospatial ML, RAG systems
  • πŸ—οΈ Production experience: FastAPI, Next.js, PostgreSQL, AWS / OCI
  • πŸŽ–οΈ AWS Certified Cloud Practitioner + OCI 2025 AI Foundations Associate
  • πŸ† Top 20% on LeetCode (200+ solved) Β· Top 15 / 900+ teams at Graph-E-thon 3.0
  • πŸ› οΈ Technical Programs Lead @ The Designovation Hub
🎲 Fun fact (click me)
I once optimized a delivery-route solver using bitmask DP (O(2ⁿ·nΒ²)) β€” turns out the fastest way to visit every node is also the fastest way to burn a CPU fan.

πŸ› οΈ Tech Stack

πŸ”§ Expand to see breakdown

Python TypeScript C++ SQL

FastAPI NextJS Streamlit LangChain

PostgreSQL Redis Docker AWS OCI


πŸ“Š Proficiency breakdown (click to expand)
Python      β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘  90%
TypeScript  β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘  75%
C++         β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘  70%
SQL         β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘  70%
Framework Proficiency Projects
FastAPI ⭐⭐⭐⭐⭐ promptgit, Face Recognition HRMS, AeroGraphFed
Next.js ⭐⭐⭐⭐ Face Recognition HRMS
Streamlit ⭐⭐⭐⭐ promptgit, DocChat
LangChain ⭐⭐⭐⭐ DocChat, RAG systems

πŸ“Š GitHub Analytics

πŸ“ˆ Click to expand stats

GitHub Stats Top Languages



πŸ“… Activity graph β€” by year

2026

Activity Graph 2026

2025

Activity Graph 2025

2024

Activity Graph 2024

2023

Activity Graph 2023


🐍 Live contribution snake (auto-generates once the workflow below is added to this repo)

github contribution snake

πŸš€ Featured Projects

πŸ’Ό Click a project to expand details

🎯 promptgit β€” Git for Prompts

πŸ“ Interview-oriented prompt versioning & A/B testing platform

Stack: PostgreSQL Β· FastAPI Β· Streamlit Β· Redis Β· Anthropic SDK

✨ Features
  • Git-like version control for prompts (fork, branch, merge)
  • RBAC + Redis-backed caching for <50ms prompt retrieval
  • Queue-driven metrics workers, prompt A/B testing & analytics
  • GitHub Actions CI Β· 48 tests

πŸ”— View Repository β†’


πŸ” Face Recognition HRMS β€” Biometric HR System

πŸ‘€ HR management with real-time face recognition for attendance & identity

Stack: FastAPI Β· Next.js Β· pgvector Β· Docker Β· PostgreSQL Β· OpenCV

✨ Features
  • Real-time face detection & recognition (99.2% accuracy)
  • Automated attendance tracking with geolocation
  • Employee database with facial embeddings via pgvector similarity search
  • Advanced modules: CCTV integration, email notifications
  • <200ms inference latency per frame

πŸ”— View Repository β†’


🌍 AeroGraphFed β€” Geospatial ETL & ML Pipeline

πŸ›°οΈ End-to-end satellite imagery processing for environmental analysis

Stack: XGBoost Β· GeoPandas Β· FastAPI Β· Rasterio Β· Docker

✨ Features
  • ETL pipelines for satellite & geospatial data (GeoTIFF, Shapefile)
  • Vegetation index (NDVI) & terrain feature engineering
  • XGBoost land-use classification served via REST API
  • 10x speedup via vectorization Β· 80% test coverage Β· GitHub Actions CI/CD

πŸ”— View Repository β†’


πŸ’¬ DocChat β€” Local RAG Pipeline

πŸ“š Privacy-first document Q&A with local LLMs & multi-hop reasoning

Stack: Ollama Β· LangChain Β· LangGraph Β· ChromaDB

✨ Features
  • 100% local β€” no data sent to external APIs
  • Multi-hop reasoning with LangGraph for complex queries
  • Semantic search over PDF, TXT, Markdown, and web content
  • Streaming responses, <300ms typical response time

πŸ”— View Repository β†’


πŸŽ“ Learning & Interests

πŸ”¬ What I'm currently exploring
  • πŸ€– Advanced LLM techniques: fine-tuning, LoRA, quantization
  • πŸ”„ Distributed systems: message queues, event streaming (Kafka)
  • πŸ“Š Time-series ML: forecasting, anomaly detection
  • πŸ—οΈ System design: scalable architectures, microservices
  • 🎯 Production ML: model monitoring, CI/CD for ML pipelines

πŸ“¬ Let's Collaborate!

I'm always interested in internships, open-source contributions, technical discussions, and project collaborations!



⭐ Found this useful? Consider starring one of my repos!

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