Generative AI Engineer | Full Stack Developer | Open Source Enthusiast

I'm a Generative AI Engineer with hands-on expertise in LLMs, Retrieval-Augmented Generation (RAG), and production-level deployment of AI-powered applications. Currently pursuing B.Tech in Computer Science & Engineering at Bhilai Institute of Technology, Durg (2022-2025).

I specialize in building scalable AI systems using modern frameworks and cloud infrastructure, with a strong focus on:

• 🤖 Large Language Models (LLMs) and RAG pipelines
• 🔊 Speech-to-Text systems with OpenAI Whisper
• ⚡ High-performance microservices architecture
• 🔗 Blockchain and Web3 technologies

Aug 2024 - Oct 2025

• 🎯 Built enterprise-grade Agent Assist system improving customer service efficiency by 40%
• 🏗️ Architected and deployed ML models including streaming audio transcription with OpenAI Whisper
• ⚙️ Developed scalable microservices with Asterisk PBX, Keycloak, Azure, RunPod, and Google Cloud
• 🔗 Created RAG pipelines with LangChain and developed frontend with React and Next.js

Apr 2024 - Jul 2024

• 🔌 Built RESTful APIs and RAG systems using NLP, Docker, AWS
• 🚀 Designed Multi-RAG inference reducing response time by 35%
• ⚡ Deployed Faster Whisper ASR server with 50% speed improvement

Jun 2023 - Jul 2023

• 🔐 Optimized cryptographic algorithms improving performance by 20%
• 🛡️ Enhanced AES security and co-authored research on block cipher algorithms
• 📄 Developed robust algorithm for secure block cipher (research paper in progress)

• Frameworks: LangChain, TensorFlow, PyTorch
• RAG Systems: ChromaDB, LanceDB, MongoDB
• Models: OpenAI Whisper, LLMs
• Techniques: Prompt Engineering, NLP, Computer Vision

• Frontend: React, Next.js, HTML, CSS, JavaScript
• Backend: FastAPI, Django, Node.js
• Architecture: REST API, WebSocket, Microservices

• Cloud Platforms: AWS, Azure, Google Cloud, RunPod
• Containers: Docker, Kubernetes
• Tools: Git, GitHub, Linux

• Solidity, Smart Contracts, Web3

Distributed, graph-based AI workflow orchestration system with isolated execution, secure secret management, and dynamic auto-scaling for high-availability pipeline processing.

Tech Stack: Python, Docker, Kubernetes, Microservices

High-performance, multi-GPU speech-to-text system using OpenAI Whisper with CTranslate2 backend. Features dynamic auto-scaling for optimized, secure, and resource-efficient audio transcription.

Tech Stack: OpenAI Whisper, CTranslate2, Python, FastAPI, Docker

Multi-RAG Server integrating LanceDB and MongoDB with different embeddings for enhanced retrieval performance.

Tech Stack: LlamaIndex, LangChain, LanceDB, MongoDB, Python

• 🎓 Machine Learning - AICTE (2023)
• 📊 Google Data Analytics - Coursera (2022)
• 🐍 Python - HackerRank (2021)

• 🏐 Playing Volleyball
• 💻 Open-source contributions
• 🧠 AI Research
• 🔬 Blockchain Technology

I'm always open to interesting conversations and collaboration opportunities. Feel free to reach out!

• 📧 Email: [email protected]
• 💼 LinkedIn: linkedin.com/in/anshjoseph
• 🐙 GitHub: github.com/anshjoseph
• 📱 Phone: +91 9981634633

⭐️ From anshjoseph | Open to collaborations and opportunities!