I’m a Machine Learning Engineer with hands-on experience building production-grade computer vision systems, LLM-powered applications, and scalable full-stack solutions, with a strong focus on Artificial Intelligence. I enjoy working at the intersection of machine learning, Generative AI, RAG pipelines, agentic AI workflows, and AI-driven products, emphasizing prompt engineering, clean code, performance optimization, and real-world deployment.

🔭 I’m currently working on

End-to-end computer vision pipelines using TensorFlow and OpenCV

Improving model robustness for real-world image distortions

Integrating ML models into production systems

🤝 I’m looking to collaborate on

Machine Learning / Computer Vision projects

AI-powered web applications

Open-source projects involving LLMs, RAG pipelines, or data engineering

🆘 I’m looking for help with

Scaling ML systems in production

Advanced MLOps practices and deployment strategies

Designing efficient data pipelines

🌱 I’m currently learning

Generative AI, LLMs, and RAG architectures

Cloud-native ML workflows (AWS/GCP, Docker, Kubernetes)

Advanced system design for ML-backed applications

💬 Ask me about

Computer Vision (TensorFlow, OpenCV, CNNs)

Full-stack development with React & Node.js

Python automation and data cleaning

Performance optimization in APIs and ML workflows

⚡ Fun fact

I love turning messy real-world data into clean, reliable pipelines—and I once reduced manual data preprocessing effort by 95% with a single Python automation tool 🚀