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gulabjamun04/README.md
Typing SVG

LinkedIn Portfolio Email

🚀 About Me

I'm an aspiring Software Engineer specializing in distributed systems and GenAI applications. I build high-performance backend systems with a focus on scalability, observability, and production-grade architecture. From database sharding to event-driven pipelines, I design systems that handle real-world load efficiently.

What I Do:

  • 🏗️ Design distributed systems with sharding, caching, and message queues
  • ⚡ Optimize performance (achieved 1,497 req/s with zero errors across 90,000 requests)
  • 🤖 Integrate LLMs and RAG systems into production applications
  • 📊 Build comprehensive observability with Prometheus & Grafana
  • 🔧 Develop RESTful APIs with FastAPI and microservices architecture

Core Strengths: System design, database optimization, caching strategies, event-driven architecture, and production monitoring.

💼 Featured Projects

🔗 Distributed URL Shortener

High-performance distributed system with 1,497 req/s throughput

Engineering Highlights:

  • Application-level sharding across 3 PostgreSQL nodes via consistent hashing
  • Multi-layer caching (100% hit rate, 2.7ms P50, sub-230ms P99)
  • 37% throughput gain migrating from threaded → async aiohttp + uvloop
  • Zero errors across 90,000 requests in 60s sustained load test
  • Event-driven analytics with Redpanda + production deploy via Cloudflare Tunnel

Tech: FastAPI, PostgreSQL, Redis, Redpanda, Docker, Prometheus, Grafana

🤖 MCP-Powered AI Assistant

Pluggable AI agent with runtime extensibility

Engineering Highlights:

  • Anthropic MCP with 13 JSON-schema tools
  • LangChain ReAct agent with autonomous tool chaining
  • Zero-downtime hot-swapping in <5s
  • Full observability (P50/P95/P99 tracking)

Tech: Python, MCP SDK, FastAPI, LangChain, Ollama, Redis, PostgreSQL

📚 Advanced RAG System

Production-grade document Q&A platform

Engineering Highlights:

  • Hybrid search (semantic + BM25)
  • Redis caching with 117x speedup (1.3s → 0.011s)
  • Multi-format document processing pipeline
  • 100% test coverage with comprehensive metrics

Tech: Python, Mistral AI, LangChain, ChromaDB, FastAPI, Docker

🛠️ Tech Stack

Programming Languages

Python SQL C++

Frameworks & Libraries

FastAPI LangChain Streamlit Pandas NumPy

Databases & Streaming

PostgreSQL Redis ChromaDB Redpanda

AI/ML & GenAI

Hugging Face MCP SDK Ollama Mistral AI

DevOps & Monitoring

Docker Prometheus Grafana

Core Competencies

  • System Design: Distributed Systems, Microservices Architecture, Database Sharding, Caching Strategies
  • Performance: Query Optimization, Connection Pooling, Load Testing, Latency Optimization (P50/P95/P99)
  • AI/ML: RAG Systems (Hybrid Search, Semantic Search), Agent Orchestration (ReAct), Vector Databases, Prompt Engineering
  • Backend: REST APIs, Async Processing, Event-Driven Architecture, Database Design (PostgreSQL, Redis, MongoDB)

📊 GitHub Stats

GitHub Streak
Contribution Graph

🎯 Current Focus

  • 🔭 Building high-performance distributed systems with robust observability
  • 🏗️ Deepening expertise in system design and database optimization
  • 🤖 Exploring advanced LLM orchestration patterns and agentic workflows
  • 🚀 Seeking SDE roles focusing on backend systems and GenAI integration
  • 💬 Ask me about distributed systems, caching, PostgreSQL sharding, RAG systems

📫 Let's Connect!

I'm always open to interesting conversations and collaboration opportunities. Feel free to reach out!

LinkedIn Email Portfolio

💡 "Designing systems that scale, perform, and adapt"

Profile Views

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  1. mcp-ai-assistant mcp-ai-assistant Public

    MCP-Powered AI Assistant with Pluggable Tools | Python, MCP,FastAPI, LangChain,Ollama, Redis, PostgreSQL, Docker, Prometheus, Grafana Built a single-agent AI assistant that dynamically discovers an…

    Python 1

  2. ADVANCED-RAG-SYSTEM ADVANCED-RAG-SYSTEM Public

    Intelligent document Q&A platform using RAG with hybrid search (semantic + BM25), intelligent caching (117x speedup), and multi-format support. FastAPI backend + Streamlit UI.

    Python

  3. distributed-url-shortner distributed-url-shortner Public

    ⚡ High-performance distributed URL shortener achieving 1,497 RPS | FastAPI + PostgreSQL sharding + Redis + Redpanda | Zero errors across 90,000 requests | Production-ready with Prometheus/Grafana m…

    Python

  4. GENAI_PODCAST GENAI_PODCAST Public

    Autonomous podcast content creator powered by collaborative AI agents. Leverages crewAI to orchestrate research, scripting, and production workflows for professional podcast episodes.

    Python

  5. nlp-preprocessing nlp-preprocessing Public

    End-to-end NLP pipeline: text preprocessing, feature extraction (BoW, TF-IDF, N-grams), and sentiment classification on IMDB reviews using Python & scikit-learn.

    Jupyter Notebook

  6. grapevine-tal-search grapevine-tal-search Public

    Hybrid semantic + BM25 search system for natural language recruiter queries. Matches candidates to jobs using sentence-transformers, ChromaDB, and rank_bm25.

    Python