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suraj-shrivastav/README.md

👋 About Me

I'm an AI Full Stack Developer and a 2026 Computer Engineering graduate, currently working at NeuralArc.ai in Pune. I build backend services and AI-powered features, mostly with Python, FastAPI, and React, and I enjoy the part of the job where LLMs, APIs, and databases have to work together reliably in production.

  • 💼 Working on production AI systems at NeuralArc.ai, including ModelBeat.ai (multi-model inference platform)
  • 🔍 Interested in RAG pipelines, model orchestration, and real-time voice/audio
  • ⚙️ Care about clean APIs, query performance, and debuggable backends
  • 🌱 Always learning, currently going deeper into LLM infrastructure and observability

💼 Experience

🧠 AI Full Stack Developer · NeuralArc.ai

Feb 2026 – Present · Pune, India

  • Built Python backend services with FastAPI and AsyncIO connecting to multiple LLMs via AWS Bedrock and Gemini, powering data discovery and structured data generation.
  • Contributed to ModelBeat's multi-model orchestration and inference API: auto-routing, onboarding workflows, and observability for inference requests.
  • Worked on parts of a RAG pipeline: document parsing (Qwen-VL, OpenDataLoader), chunking, embeddings, and vector retrieval.
  • Helped integrate LiveKit and Deepgram for real-time speech-to-text and live communication features.
  • Contributed to REST APIs and background workflows for multi-tenant apps with role-based access control.
  • Improved backend performance with database indexing, query tuning, and Valkey (Redis-compatible) caching; helped with Stripe billing logic for subscriptions and proration.

🛠️ Full Stack Intern · Zymo

Oct 2025 – Jan 2026 · Remote

  • Worked on a RAG-based system for customer queries, feeding relevant context into AI-assisted responses.
  • Contributed to backend optimization and API integrations.

🚀 Projects

Project What it does Stack
PitchDekh AI-powered pitch intelligence platform. Parses startup pitch decks, extracts structured data with Gemini, and supports startup-investor matching. Includes a Firecrawl pipeline for investor profile discovery. React · Node.js · Express · Gemini API · Supabase · Firecrawl
RAG Chatbot Chatbot on open-source LLMs via Groq's low-latency API, with Pinecone-based retrieval, tool-calling, and web search. React · Node.js · Groq · Pinecone
Adverra Multi-modal generative AI workflow combining LLMs, text-to-speech (including multi-speaker audio), and image generation. React · Node.js · Gemini API · Supabase

📌 Repo links are on my GitHub profile.


🛠️ Tech Stack

Languages

Python JavaScript

Backend & APIs

FastAPI Node.js Express REST JWT

AI Engineering

AWS Bedrock Gemini RAG Embeddings LiveKit Deepgram

Frontend

React Next.js Tailwind Redux Zustand

Databases

PostgreSQL MySQL Redis Supabase

Cloud & Tools

AWS Docker Git GitHub Actions


🎓 Education & Certifications

  • B.E. Computer Engineering, Dhole Patil College of Engineering, Pune (2022 – 2026) · CGPA 8.03 / 10
  • MERN Development, Apna College

📊 GitHub Stats

GitHub stats Top languages GitHub streak

📫 Let's Connect

I'm open to conversations about AI backends, LLM tooling, and full-stack work. Feel free to reach out via email or LinkedIn.

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