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Infernape
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Paras-bakshi/README.md

🌟 Paras Bakshi — AI-Driven Full-Stack Developer

Java | React | Spring Boot | Microservices | Python | Kafka | AWS | GenAI (LLMs, RAG, LangChain, LangGraph)

🚀 Building scalable, intelligent systems powering 850K+ users and influencing $600M+ annual revenue.

👨‍💻 About Me

I’m an AI-driven Full-Stack & Backend Developer passionate about building scalable, distributed, and fault-tolerant systems.
My work spans high-performance microservices, cloud-native architectures, and GenAI-driven automation.

  • 🔥 Scaled systems used by 850K+ global users
  • 💰 Direct engineering impact on revenue streams > $600M
  • 🤖 Building AI-driven automation using LLMs, RAG, LangChain, LangGraph
  • ☁️ Cloud-native development using AWS + Terraform
  • ⚡ Kafka-based event-driven architectures
  • 🧩 Strong experience in Python async frameworks & performance optimization
  • 🔍 Obsessed with clean architecture, automation, reliability & performance

🛠️ Tech Stack

Backend & Distributed Systems

  • Java, Spring Boot, Microservices
  • Python, Sanic, AsyncIO, Tortoise ORM
  • Kafka, Redis, MySQL, PostgreSQL
  • REST APIs, Distributed Systems, CI/CD

Frontend

  • React.js, JavaScript

Cloud & DevOps

  • AWS (EC2, Lambda, S3, API Gateway, CloudWatch)
  • Terraform, Jenkins, GitHub Actions
  • Containers, Cloud-native deployments

AI / GenAI

  • Large Language Model Integrations
  • Retrieval-Augmented Generation (RAG)
  • LangChain, LangGraph
  • Prompt Engineering & Vector Stores

🚀 Experience Highlights

Software Developer Engineer — Shell

  • Built scalable, fault-tolerant enterprise microservices
  • Delivered cloud-native architectures using Java, Spring Boot, Kafka, MySQL, AWS, Terraform
  • Automated CI/CD pipelines & improved performance across data-heavy systems

Software Developer (Backend) — TATA 1MG

  • Migrated payments service to async Sanic → 3× RPS, 3× transfer uplift, 70% lower latency
  • Optimized SQL queries → 40% faster execution
  • Strengthened API reliability with 90%+ PyTest coverage
  • Led incident response & production debugging

Pinned Loading

  1. Autonomous-Dyslexia-Evaluation-System Autonomous-Dyslexia-Evaluation-System Public

    Web-based application to automate the process of Dyslexia evaluation and maintain a track record.

  2. Laptop-Price-Predictor Laptop-Price-Predictor Public

    Web-based application using Streamlit which predict the Price of the laptop using Machine Learning.

    Python 5 2

  3. Movie-Recommendation-System Movie-Recommendation-System Public

    Movie Recommendation System is a web based application using Streamlit and a Content-Based Recommender System that recommends the top 5 Movies and fetches results from the API regarding them.

    Jupyter Notebook 1

  4. Titanic-Survival-Rate-Dashboard Titanic-Survival-Rate-Dashboard Public

    Dashboard of Exploratory Data Analysis of Titanic Dataset using Streamlit

    Python 1 1

  5. Hand-Tracking-Module Hand-Tracking-Module Public

    Hand Tracking 30 FPS using CPU using OpenCV

    Python 1

  6. Lets-Play-To-Win Lets-Play-To-Win Public

    Two-Player Dice Game

    JavaScript 1