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Hi, I'm Aniket Sahu 👋

🎓 Final Year B.Tech (IT) — Heritage Institute of Technology, Kolkata
🤖 AI/ML Engineer focused on LLMs, Agentic Systems, and Real-Time AI Pipelines
📍 Kolkata, West Bengal


🧠 About Me

I build production-grade AI systems — not just demos. My work spans fine-tuning TTS models for real-time voice pipelines, designing multi-agent LangGraph workflows, and deploying low-latency FastAPI backends for conversational AI.

Currently exploring: Agentic AI · RAG Systems · LLM Fine-tuning · Voice AI


💼 Experience

AI Intern — Hiyvr.ai (Ethical Den) Jul 2025 – Sep 2025

  • Fine-tuned Orpheus TTS model for Bengali customer support with 6-7s end-to-end latency in a real-time multi-call pipeline
  • Benchmarked open-source Bengali LLMs across accuracy, response quality, and latency for production deployment
  • Integrated Twilio and Ngrok for real-time communication, cutting setup time by 40%

Summer IS Intern — Indian Oil Corporation Ltd. Jun 2024 – Jul 2024

  • Built "Doc Connect", a doctor appointment management system using .NET, SQL, HTML, CSS, JS
  • Implemented role-based authentication and secure access control

🚀 Projects

LangGraph · LangChain · FAISS · Ollama (Llama 3) · sentence-transformers

  • Vector-based persona routing using FAISS and cosine similarity to match posts to AI bot personas
  • 3-node LangGraph state machine that autonomously researches topics and generates structured JSON posts via RAG
  • Prompt injection defense using role-separated system prompts and identity anchoring

FastAPI · LangGraph · OpenAI API · Python

  • Multi-agent conversational AI system automating booking, cancellation, and query workflows — 70% reduction in manual intervention
  • FastAPI backend handling real-time requests with < 1s latency
  • Automated slot validation pipeline improving scheduling accuracy by 85%

FastAPI · PyTorch · Transformers

  • Transformer-based models for accurate medical text extraction and inference from PDF documents
  • Structured data extraction pipeline converting unstructured PDFs into actionable insights

🛠️ Tech Stack

Languages: Python · C · SQL
AI/ML: LLMs · RAG · NLP · Deep Learning · Transformers · LoRA Fine-tuning · Vector Databases (FAISS)
Frameworks: LangChain · LangGraph · PyTorch · TensorFlow · Scikit-learn · FastAPI
Tools: Ollama · HuggingFace · Docker · Git · GitHub
Data: Tableau · Data Analysis


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