const naman = {
role: "AI Engineer | Full Stack Developer | Researcher",
past_roles: {
intern: "AI Developer @ ThinkingStone — Voice AI & Autonomous Agents",
},
education: "B.Tech @ NIT Rourkela (2024-2028)",
expertise: {
ai_ml: [
"🧠 Deep Learning & Transformers (PyTorch, TensorFlow)",
"🤖 Multi-Agent Systems (LangChain, CrewAI, AutoGen, LangGraph)",
"🗣️ Voice AI & Real-time Systems (LiveKit, WebRTC, Deepgram)",
"📊 RAG Pipelines (ChromaDB, Pinecone, Weaviate, FAISS)",
"🔧 LLM Fine-tuning & Prompt Engineering",
"🎯 Production ML, MLOps & LLMOps"
],
engineering: [
"💻 Full-Stack (FastAPI, Flask, React, Next.js, Streamlit)",
"🐳 DevOps (Docker, Kubernetes, GCP, Fly.io, CI/CD)",
"🗄️ Databases (PostgreSQL, MongoDB, Supabase, Redis, Vector DBs)",
"🔌 Real-time (WebSockets, RPC Workflows, MCP Framework)"
],
research: [
"🔬 NLP & Transformer Architectures",
"👁️ Computer Vision & Vision Transformers",
"🎙️ Conversational AI & Human-Machine Interaction",
"🤖 Autonomous Agent Design & Cognitive Architectures"
]
},
achievements: {
ntse: "🏆 NTSE Scholar — Top 1000 out of 1M+ students nationwide",
child_scientist: "🔬 State Child Scientist — Govt. of India",
school: "📚 96.2% in CBSE Class 12th"
},
philosophy: "Take AI from research papers → production systems"
};
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AI / ML / Deep Learning
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Agentic AI & LLM Engineering
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Full Stack & Backend
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Cloud, DevOps & Infra
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Languages
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Databases & Storage
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Data Science & Tools
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🎙️ Voice AI & Real-time Systems
LiveKit SFU · WebRTC · Deepgram STT · ElevenLabs TTS · Vosk · Audio Pipeline Development · Intent Parsing · Dialogue State Management · WebSockets · Real-time Streaming · RPC Workflows
🤖 Agentic AI Deep Dive
LangChain Agents · ReAct Pattern · Tool Use & Function Calling · Multi-Agent Orchestration · Agent Memory Systems (Vector DBs, Episodic Memory) · Task Planning & Decomposition · Chain-of-Thought Prompting · Tree-of-Thoughts · Agent Evaluation Frameworks · CrewAI · AutoGen · MetaGPT · LlamaIndex Agents · DSPy · OpenAI Assistants API · Agent Protocol · Cognitive Architectures
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📚 Relevant AI/ML Coursework
| Domain | Courses |
|---|---|
| Core AI/ML | Machine Learning, Deep Learning, Reinforcement Learning, Statistical Learning Theory, Optimization Methods |
| Deep Learning | Neural Networks, CNNs, RNNs, GANs, Variational Autoencoders |
| NLP & LLMs | Natural Language Processing, Large Language Models & Transformers, Sequence Models, Text Mining |
| Agentic AI | Multi-Agent Systems, Autonomous Agents & Planning, Knowledge Representation, Agent-Based Modeling |
| Computer Vision | Computer Vision, Image Processing, Object Detection, Visual Learning & Recognition |
| Advanced | RL for Robotics, Probabilistic Graphical Models, Federated Learning, MLOps, AI Ethics & Safety |
| Foundations | Data Structures & Algorithms, Linear Algebra, Probability & Statistics, Distributed Systems |
💬 I'm always open to collaborating on AI/ML research, open-source contributions, and engineering challenges at scale.
If you're working on LLMs, multi-agent systems, voice AI, or production ML — let's connect!
💡 "Building production-grade AI systems that actually ship — not just pretty demos."
⭐️ From Naman Jaiswal · Last Updated: Feb 2026 🚀