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Hi, I'm Kasim Lohar πŸ‘‹

Full-Stack & AI Systems Developer

πŸ† SIH 2025 Grand Finalist | IEEE 1st Prize Winner | GSoC-Ready OSS Contributor

πŸ“ Pune, India | πŸŽ“ AI & Data Science @ SPPU


Building production-ready AI-integrated web applications with React, Node.js, and LLM pipelines (RAG, Gemini API). Focused on scalable backend architecture, real-time systems, and solving real-world problems through code.


πŸ† Achievements

  • πŸ₯‡ Smart India Hackathon 2025 – Grand Finalist
  • πŸ₯‡ IEEE ICRTAIDS 2025 – 1st Prize for AquaSafe AI Beach Safety System
  • πŸ₯ˆ RUTAG Logo Contest – 1st Runner-Up (PSA Govt. of India)

πŸ›  Tech Stack

AI & Automation: Google Gemini API β€’ LangChain β€’ OpenAI β€’ HuggingFace β€’ N8N


πŸš€ Featured Projects

πŸ“š PARRS β€” Personalized Academic Retrieval & Revision System

RAG-powered academic assistant where students upload study materials (PDF, PPTX, DOCX) and get source-cited, exam-format answers grounded exclusively in their own content. Achieved 93.4% groundedness and 0.8% hallucination rate across 275 evaluation queries.

Impact:

  • Hybrid dense + BM25 retrieval pipeline with cross-encoder re-ranking delivering 1.4s avg end-to-end latency
  • 6 exam-specific answer modes (2-mark, 5-mark, long-answer, MCQ) with tuned prompts β€” no other tool targets Indian semester exam formats
  • Self-built evaluation framework (LLM-as-judge + rule-based) producing Recall@5, NDCG, MRR, groundedness, and hallucination metrics
  • Multi-layer caching (Redis + LRU) with automatic invalidation on document upload; eliminated redundant embedding calls at scale
  • Multi-tenant Row-Level Security across all tables for per-user data isolation

Stack: FastAPI, Python, Next.js 16, TypeScript, PostgreSQL (pgvector), Gemini Embeddings, Groq (Llama 3), flashrank ONNX, Redis, Supabase, Docker, Vercel + Google Cloud Run


πŸ“Š DataTrack β€” AI Document Automation System

Smart India Hackathon 2025 – Grand Finalist | Team Lead (Full Stack + AI)

AI system automating document processing for Kochi Metro Rail Limited, cutting manual processing from 8 hours to 20 minutes.

Impact:

  • OCR-to-classification pipeline processing 1000+ multilingual documents daily
  • Gemini API integration achieving 92% accuracy on structured entity extraction
  • Semantic search improving document retrieval accuracy by 40% vs keyword-based search
  • RBAC-enabled dashboards supporting 50+ multi-tenant users

Stack: Next.js, FastAPI, PostgreSQL, Supabase, Gemini API, Pinecone, AWS S3


🌿 Canopy β€” AI Project Roadmap Generator

Figma Makeathon 2025 | Solo Project

AI system converting unstructured project briefs into structured roadmaps, serving 200+ active projects.

Impact:

  • Reduced roadmap creation time by 70% through automated task extraction
  • Real-time collaboration with sub-200ms sync enabling 10+ concurrent editors
  • 95%+ uptime through caching strategies and optimized database policies

Stack: React, TypeScript, Supabase, PostgreSQL, Gemini API


⛰️ WildSpire β€” Adventure Booking Platform

Solo Project

Full-stack booking platform with JWT authentication, handling 500+ bookings with 99.5% uptime.

Impact:

  • 15+ REST APIs supporting activity discovery and secure payment processing
  • Mapbox integration enabling location-based search for 50+ activities across 10 cities
  • Rate limiting and XSS protection reducing malicious requests by 85%

Stack: Node.js, Express, MongoDB, Mapbox, Cloudinary


See all projects β†’


πŸ’‘ What I Build

Specialized in AI-integrated full-stack applications with focus on:

  • Production ML Pipelines: RAG systems, vector search, LLM orchestration (Gemini, LangChain)
  • Real-Time Systems: WebSockets, sub-200ms sync, event-driven architecture
  • Scalable Backend: Microservices, Redis queues, Docker, API design

Open to: SDE Internships | Full-Stack Roles | AI/ML Engineering | Backend Systems | GSoC 2026


πŸ“Š GitHub & LeetCode Stats


πŸ”— Connect


πŸ’Ό Actively seeking Summer 2026 internships in Full-Stack, Backend, or AI/ML Engineering

Let's build something impactful together!

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