I’m a Data Scientist and AI Engineer with a strong foundation in machine learning, deep learning, and software engineering. My expertise lies in building intelligent, scalable solutions that solve real-world problems from LLMs and Generative AI solutions to computer vision applications. I have worked in different industries, including finance, governments, and smart cities.

What I bring to the table:
AI & ML: Supervised/unsupervised learning, deep learning (CNNs, RNNs, LSTMs), NLP, and LLMs with RAG.
Deployment & MLOps: Docker, MLflow, AWS, CI/CD pipelines, scalable API deployment.
Big Data: Hands-on with Spark, Hadoop, and Kafka for large-scale data processing.
Software Engineering: Strong full-stack development background (MERN stack).
Proven Results: Designed and deployed AI solutions that improved accuracy, reduced manual efforts, and scaled to millions of users.

I’ve published AI research, delivered end-to-end projects in consulting and startups, and continuously push myself to stay ahead in the fast-moving AI field. Whether you need a machine learning model, an LLM-powered chatbot, or a full AI pipeline from data to deployment, I can help you deliver it efficiently and reliably.

Let’s build something impactful together.