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Vikas9892/README.md

About Me

I'm a B.Tech Information Technology student at IIIT Bhopal who enjoys building complete software systems rather than isolated features. I like understanding how things work under the hoodβ€”from networking and operating-system concepts to backend architecture, machine learning, and distributed systems.

I believe the best way to learn engineering is to build projects from scratch, evaluate them properly, and continuously improve them instead of repeatedly starting new tutorial projects.

  • πŸŽ“ B.Tech Information Technology @ IIIT Bhopal (2023–2027) Β· CGPA: 8.43
  • 🧠 Codeforces Expert Β· CodeChef 4β˜…
  • πŸ’» Solved 1000+ DSA problems
  • πŸ”­ Interested in Backend Development, AI, Distributed Systems and System Design
  • 🌱 Currently learning by extending production-style projects
  • πŸ“« Reach me at vikast4843@gmail.com

Featured Projects

A production-ready AI-powered product enrichment platform that combines computer vision, natural language processing and scalable backend engineering to automate catalog enrichment and semantic product search. The platform generates multimodal embeddings, extracts structured product attributes and enriches product catalogs through a modular architecture.

Production-ready backend Β· Hybrid Semantic Search Β· CLIP & BGE Embeddings Β· JWT Authentication Β· Redis Caching Β· Docker Β· Prometheus & Grafana Β· CI/CD

A networked key-value store built from scratch in C++ featuring blocking and non-blocking (epoll, edge-triggered) servers, thread-pool concurrency with shared_mutex, write-ahead logging, and crash-safe recovery.

Real Benchmarks: 9,619 ops/sec (1 connection) Β· 4,831 ops/sec @ 1,000 concurrent connections Β· 410 ms crash recovery

A retrieval-augmented generation platform built without LangChain, combining dense (FAISS) and sparse (BM25) retrieval through Reciprocal Rank Fusion. Includes an evaluation harness measuring retrieval quality and answer faithfulness for production-grade RAG systems.

289 Tests Β· 87% Coverage Β· Hybrid Retrieval Β· Streaming API Β· AWS Deployment

A full-stack quantitative portfolio optimization platform implementing Modern Portfolio Theory with asynchronous portfolio generation, Redis caching, circuit breakers, CI/CD and an interactive React dashboard.

163 Tests Β· 80% Coverage Gate Β· Async Jobs Β· Live Dashboard


Tech Stack

Languages

Backend & APIs

AI / Machine Learning

Databases & Cache

Cloud & DevOps

GitHub Stats



Competitive Programming

πŸ† Codeforces

Expert

⭐ CodeChef

4β˜… Rated

πŸ’» DSA

1000+ Problems Solved

Across LeetCode, Codeforces & CodeChef


Connect With Me


Currently Exploring

  • 🧠 Large Language Models (LLMs)
  • πŸ” Retrieval-Augmented Generation (RAG)
  • ⚑ Distributed Systems
  • ☁️ Cloud-Native Backend Development
  • πŸ€– AI Infrastructure & MLOps
  • πŸ“¦ Microservices Architecture
  • πŸš€ High-Performance Backend Engineering

What I'm Looking For

I'm actively looking for Software Engineering, Backend Engineering, and AI/ML Engineering Internship opportunities where I can contribute to real-world systems, learn from experienced engineers, and build scalable products.

If you'd like to collaborate, discuss an opportunity, or just connect, feel free to reach out.


Thanks for visiting my profile!

If you like my work, consider giving a ⭐ to the repositories you find useful.


Pinned Loading

  1. product_intelligence product_intelligence Public

    Multi-modal product catalog platform β€” CLIP + BGE embeddings in Qdrant, hybrid retrieval with cross-encoder reranking, and a decision trace on every verdict. 1,327 tests, 99% coverage.

    Python 10

  2. rag_evaluation rag_evaluation Public

    Production-grade RAG pipeline built from scratch (no LangChain) β€” hybrid FAISS + BM25 retrieval, cross-encoder reranking, evaluation harness, and AWS Lambda deployment.

    Python 9

  3. KV_STORE KV_STORE Public

    High-performance concurrent in-memory key-value store in C++20 β€” TCP, epoll, thread pool, WAL, snapshots, TTL, and replication

    C++ 6

  4. nifty-portfolio-optimizer nifty-portfolio-optimizer Public

    Full-stack portfolio optimization platform with async job processing (FastAPI + Redis/RQ), a circuit breaker, CI/CD with 80% test coverage, and Prometheus/Grafana observability.

    Python 11

  5. food__delivery food__delivery Public

    JavaScript 9

  6. daily_dsa daily_dsa Public

    C++ 7