Welcome to my GitHub! I'm an AI/ML Engineer focused on building production-ready AI systems, especially in the areas of Generative AI, Agentic Workflows, Vision-Language Models, and Robotics Intelligence.
I enjoy creating real AI products that solve technical problems and scale in real environments.
- 🔭 Currently working as an AI/ML Engineer at Muks Robotics AI Pvt. Ltd., developing intelligent systems for humanoid robots.
- 🤖 Building full AI pipelines including LLM-based brains, VLM-driven navigation, wake-word models, face detection engines, and robotic action planners.
- ⚙ Skilled in Python, PyTorch, LangChain, LangGraph, HuggingFace, Transformers, and MLOps tools.
- 🎯 Passionate about Agentic AI, offline AI systems, VLMs, and autonomous robot intelligence.
- 📚 Continuously learning advanced Generative AI, model optimisation, and real-time AI deployment.
- 🤝 Open to collaborations on AI/ML, VLM, MLOps, and Agentic Systems.
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🗣 Conversational AI Pipelines: STT → LLM → TTS pipelines with low-latency execution.
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🤖 Robotics AI (VLM + Action Models): Fine-tuning ACT, GrootN1, Moondream, Eagle-2B and building vision → action pipelines.
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🧩 Agentic AI & LangGraph Workflows:
Multi-agent orchestration, tool-calling, memory, and automated reasoning engines. -
🧪 AI Model Training & Fine-tuning:
CNNs, GRUs, Transformers, LLMs, VLMs, LoRA/QLoRA, and RL-based systems. -
📦 MLOps & Deployment:
Docker, CI/CD, AWS, Cloud storage, Monitoring, Vector DBs.
Languages: Python, C++
Libraries: PyTorch, TensorFlow, Scikit-learn, Pandas, OpenCV
GenAI Tools: HuggingFace, LangChain, LangGraph, Ollama
Databases: MongoDB, SQL, ChromaDB, FAISS
MLOps: Docker, GitHub Actions, DVC, MLflow
Cloud: AWS EC2, S3, ECR, SageMaker, Bedrock
Others: FastAPI, Streamlit, Pydantic
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