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Ramprakash852/README.md

πŸ‘‹ Hi, I'm Bhukya Ramprakash

πŸŽ“ B.Tech Computer Science @ IIIT Pune (2022–2026)
πŸ’» Software Engineer (Backend + AI Systems) | Building LLM Applications & Scalable Apps

I build AI-driven backend systems and real-time applications β€” from scalable APIs and async pipelines to LLM-powered products.
My focus is on low-latency systems, scalability, and real-world impact.


🧭 What This GitHub Represents

This GitHub is a professional engineering portfolio, not just demo projects.

You’ll find:

  • βœ… AI & LLM-based systems (RAG, multimodal, real-time pipelines)
  • βœ… Scalable backend systems with clean architecture (FastAPI, Node.js)
  • βœ… Distributed & async systems (RabbitMQ, caching, WebSockets)
  • βœ… Well-documented repositories with measurable performance improvements

Each repository reflects how I design, optimize, and scale systems as an engineer.


πŸ› οΈ Technologies I Work With

πŸ’¬ Languages


🎨 Frontend


πŸ—„οΈ Backend


πŸ€– AI / LLM & Data

  • Large Language Models (LLMs) & RAG
  • Prompt Engineering & Evaluation
  • LangChain, AutoGen
  • Whisper (STT), TTS systems
  • Apache Spark, Streamlit

πŸ—„οΈ Databases


πŸ’» Operating Systems


βš™οΈ Tools & DevOps


πŸš€ Featured Projects

🧠 Consulo – Multimodal AI Therapist

Real-Time AI System (Vision + Speech + LLMs)
Tech: Python, FastAPI, LLMs, Whisper, WebSockets, Streamlit

  • Built a multimodal system integrating computer vision, speech, and LLM reasoning
  • Achieved <2.5s latency using async pipelines and optimized inference
  • Designed an Empathy Engine, improving response quality by 45%
  • Scaled to 100+ concurrent users using caching and async processing

πŸ›’ Echokart – Voice-Enabled E-Commerce Platform

Distributed Full-Stack System with Async Processing
Tech: React, Node.js, AWS EC2, RabbitMQ, Redis, Docker

  • Built and deployed a full-stack MERN application on AWS
  • Implemented RabbitMQ-based async architecture, reducing checkout latency by 35% under load
  • Developed voice-based navigation, improving user efficiency by 25%
  • Designed resilient systems with retries and failure handling

πŸ’° MoneyCare – AI-Powered Financial Companion

Full-Stack AI Finance Platform
Tech: Next.js, Node.js, Gemini AI, PostgreSQL

  • Built a real-time platform for expense tracking and financial insights
  • Integrated Gemini LLM for personalized recommendations
  • Implemented event-driven alerts (webhooks)
  • Optimized backend and SSR, improving performance by ~40%

πŸ§ͺ Engineering Principles

  • Clean API design & modular architecture
  • Performance optimization & low-latency systems
  • Reliability through async and distributed systems
  • Observability and monitoring
  • Writing maintainable, production-ready code

πŸ† Achievements

  • 🧩 Solved 500+ LeetCode problems (Rating: 1615)
  • πŸŽ“ Blockchain Basics Certification
  • πŸ€– Project Coordinator @ ROFIES (Robotics Club, IIIT Pune)
    • Led 5+ robotics & AI initiatives

πŸ“š Core CS Foundations

Operating Systems Β· Data Structures & Algorithms
Computer Networks Β· Software Engineering
System Design Β· OOP Β· Performance Optimization


🌐 Connect With Me


⭐ Open to Software Engineering roles (Backend / AI Systems)

Pinned Loading

  1. Consulo Consulo Public

    Jupyter Notebook

  2. AI-storyteller AI-storyteller Public

    Python

  3. Empathy-Engine Empathy-Engine Public

    Python

  4. EchoKart EchoKart Public

    JavaScript

  5. MoneyCare MoneyCare Public

    MoneyCare is your AI-powered financial companion β€” helping you track spending, analyze habits, and optimize your finances with smart insights, real-time alerts, and automated reports. Built for sim…

    JavaScript

  6. ChainIQ ChainIQ Public

    Python