🌐 Portfolio: shreyas8905.github.io/Shreyas8905
I’m an aspiring AI researcher and systems builder with strong experience in agentic AI workflows, LLM orchestration, and backend engineering for ML/DL systems.
- 🎓 AI & ML Undergraduate @ Dayanand Sagar College of Engineering (Batch of 2027)
- 🧠 Focused on Core LLMs, Agentic AI, LLM reasoning systems, and multi-agent orchestration
- ⚙️ Backend expertise with Django, Flask, FastAPI
- 🧩 Build full-code AI workflows (avoiding low-code/no-code abstractions for maximum control)
- 📊 Strong foundation in Data Science, ML, DL; currently learning Reinforcement Learning
- 🗄️ Worked with SQL & NoSQL databases (PostgreSQL, MongoDB)
- Core Large Language Models
- Deep Learning
- Mathematics behind Intelligence
- Retrieval-Augmented Generation (RAG)
- Agentic AI & Multi-Agent Systems
- LLM reasoning, evaluation & self-correction
- Full-stack ML & AI backends
- Data-centric AI systems
- Reinforcement Learning
🧠 S2TD – Self-Correcting Agentic RAG System An adaptive System-2 thinking RAG agent that evaluates retrieved context, rewrites queries when needed, and uses an ensemble of LLMs to reduce hallucinations and improve answer relevance.
⚡ AIPES – AI Powered Evaluation System A multi-agent, asynchronous AI orchestration system for evaluating pitch decks at scale, combining visual critique and logical analysis using parallel LangGraph agents.
🎤 InterXAI An AI-powered interviewer platform leveraging LLMs and sentiment analysis to dynamically evaluate candidates. Developed the Core AI pipeline and real-time response logic.
🏥 Arogya Kosh A blockchain-based Electronic Health Record (EHR) system integrated with AI models for accident detection and prescription processing. Architected the Core AI integration.
Engineered numerous production-grade AI workflows for diverse web platforms, specializing in complex state management and high-performance inference.
- Preferred Stack: LangGraph, LangChain, Groq (LPU inference).
Developed and deployed multiple end-to-end web applications, handling everything from schema design to cloud deployment at scale.
- Preferred Stack: React (TS), FastAPI, NeonDB (PostgreSQL), Render, Netlify/Vercel.
Interested in Agentic AI, LLM systems, or AI backends at scale?
Let’s build something impactful.
📫 Reach out - 💬 Discord: shreyas7905
"Research the intelligence. Engineer the system."