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ShreyanshSokal/README.md

👋 Hi, I'm Shreyansh Sokal

🚀 GenAI Engineer | Backend Developer | Building Production-Grade LLM Systems

👨‍💻 About Me

  • 💼 3 years of experience in Generative AI + Backend Development
  • 🤖 Building LLM-powered systems, RAG pipelines & agentic workflows
  • 🐍 Strong in Python (FastAPI, Flask) for AI systems
  • ⚙️ Backend expertise in Java, Spring Boot, Microservices & Distributed Systems
  • 🧠 Developed AI-driven code impact analysis system
  • 📉 Reduced manual impact analysis effort & improved release decision speed
  • 📈 Focused on solving real-world problems using scalable AI systems

🛠️ Tech Stack

🤖 GenAI & AI

LLMs, RAG Pipelines, Agentic AI, Prompt Engineering
LangChain, LangGraph
GPT Models, Claude Models (Anthropic), Gemini, Hugging Face
Claude Code, GitHub Copilot
Fine-tuning, REST API Integration

🐍 Languages & Backend

Python (FastAPI, Flask), Java (Spring Boot, Spring MVC), SQL

🔍 NLP & Retrieval

Transformers, NLP, Semantic Search
Vector Databases: Azure AI Search, Pinecone

🗄️ Databases & Caching

MySQL, Redis, Hibernate/JPA, ORM

⚙️ System Design & Architecture

Microservices Architecture, Distributed Systems, REST APIs
E-commerce OMS Architecture, ERP Integrations

🛠️ Tools & DevOps

Git, GitHub, CI/CD, Maven, Postman, VS Code

🚀 Featured Work

🔹 AI-Driven Code Impact Analyzer (Agentic System)

  • Built LLM-based system to analyze SAP code, transport requests & configurations
  • Implemented RAG pipeline using Azure OpenAI over technical + functional docs
  • Parsed ABAP code & mapped downstream business + technical impacts
  • Generated automated reports linking changes to transactions, tables & KPIs

🔹 AI-powered NL → SQL Chatbot

  • Converts natural language queries into executable SQL
  • Supports PDF invoice parsing → validation → structured DB insertion
  • Built error-correction & normalization pipelines for high data integrity
  • Delivered structured insights for non-technical users

🔹 Scalable TinyURL System

  • Built using Java + Spring Boot with distributed architecture
  • Optimized DB interactions using MySQL + Hibernate
  • Improved redirect performance by ~35% using Redis caching
  • Integrated ML-based malicious URL detection (Safe / Suspicious / Blocked)

📊 Achievements

  • 🏆 Customer Delight Award & Rising Star Award at Capgemini
  • 🚀 Promoted twice in 2.5 years
  • 🧠 Top 7.33% globally in LeetCode contests

🌐 Connect with Me

⚡ Building intelligent, scalable systems at the intersection of GenAI and backend engineering.

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