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sivasai07/README.md

Hi, I'm Siva Sai πŸ‘‹

🧠 Generative AI Engineer Β |Β  πŸš€ LLM & RAG Systems Builder Β |Β  πŸ’» Full Stack Developer

Typing SVG

🎯 About Me

name: Siva Sai
role: Generative AI Engineer & Full Stack Developer
education: B.Tech CSE (CGPA 9.61)
current: Trainee Software Engineer @ Paltech | Research Intern @ IIT Ropar
focus: LLM Systems, RAG Architectures, AI Product Engineering
philosophy: "Don't just train models β€” engineer intelligent systems."

πŸ’Ό Currently working as a Trainee Software Engineer @ Paltech πŸ”¬ Research Intern @ IIT Ropar, working on LLM systems and efficient transformer research 🧠 Deep specialization in RAG pipelines, prompt engineering, and hallucination mitigation βš™οΈ Building production-grade, scalable AI applications end-to-end β€” from model to UI 🌱 Currently exploring agentic AI workflows and advanced retrieval benchmarking


πŸ“« Let's Connect


🧬 Generative AI & LLM Engineering (Core Expertise)

πŸ”Ή LLM & RAG Systems

  • Retrieval-Augmented Generation (RAG) pipelines
  • Vector Databases & Semantic Embeddings
  • Chunking Strategies & Retrieval Benchmarking
  • Context Window Engineering
  • Prompt Engineering & Optimization
  • Hallucination Mitigation & Citation-backed Reasoning

πŸ”Ή Model Engineering

  • Fine-tuning Workflows
  • Transformers & Attention Mechanisms
  • Efficient Transformer Architectures (Research)
  • Latency Optimization in AI Pipelines
  • Model Evaluation & Benchmarking
  • Agentic AI Workflows

πŸ’‘ Focus Area: I engineer LLM systems that go beyond a chatbot wrapper β€” combining retrieval, structured reasoning, and evaluation into products that are reliable at scale.


πŸ’» Full Stack & Product Engineering

🎨 Frontend

  • HTML5 & CSS3
  • JavaScript (ES6+)
  • React.js
  • Responsive UI Design

βš™οΈ Backend

  • Node.js & Express
  • PHP & Laravel
  • Java & Spring Boot
  • REST API Design & Development
  • JWT Authentication & Secure Architecture

πŸ—„οΈ Database & Ops

  • MongoDB
  • MySQL
  • MERN Stack
  • Deployment & Production Scaling
  • AI System Integration into Full Stack Apps

πŸ”₯ Featured Projects

🧩 Niti-Setu

AI Government Scheme Eligibility Engine

  • MERN + RAG-based eligibility verification
  • Extracts scheme conditions from policy documents
  • Citation-backed AI reasoning
  • Structured rule-based decision engine

πŸ’° Concept Clarity

AI FinTech Assistant

  • Domain-specific RAG chatbot for financial education
  • Custom fintech dataset integration
  • Retrieval-based contextual answering
  • Embedding-driven relevance improvements

πŸŽ“ LearnPath

Personalized AI Learning Platform

  • GPT-powered adaptive learning journeys
  • Knowledge graph integration
  • Dynamic quiz generation
  • Built during IIT Ropar research internship

πŸš— Vehicle Detection (YOLOv8)

Real-Time Computer Vision Pipeline

  • 92%+ accuracy on 10,000+ annotated frames
  • 30% faster inference through optimization
  • End-to-end scalable CV system

πŸ“Š GitHub Analytics


🎯 Current Focus

  • 🧠 Production-grade RAG & agentic AI systems
  • πŸ”— Full stack products powered by generative AI
  • πŸ“ˆ LLM optimization, evaluation & benchmarking
  • πŸ”¬ Research in efficient transformer architectures

⚑ Engineering Philosophy

"Don't just train models. Engineer intelligent systems that solve real-world problems at scale."

⭐ Open to Generative AI Engineering, LLM Research & Full Stack AI Roles ⭐

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