AI Engineer & Full‑Stack Data Scientist

I specialize in designing and deploying intelligent systems that transform multi-modal data into actionable insights:

• Generative AI & Large Language Models: Fine-tuning LLMs for content generation, Q&A, conversational agents (e.g. GPT‑based pipelines).
• Computer Vision & Vision‑Language Models: End-to-end solutions for image classification, object detection, and multi-modal understanding.
• NLP & Speech‑to‑Text: Transformer‑based NLP for multilingual text, summarization, and transcribed pipelines for Indian and global languages.
• MLOps & Model Deployment: Containerized and scalable AI services via Docker, Kubernetes, and cloud platforms (CI/CD, monitoring, infra).
• Data Engineering & SQL: Efficient data ingestion, ETL pipelines, and optimized querying tailored for AI workflows.

With a passion for bridging raw data sources and operational AI, I turn complex signals into smart products—from predictive models to interactive agents and visual analytics. I thrive at the intersection of innovation, performance, and quality.

Languages & Frameworks: Python, SQL, PyTorch, TensorFlow, Scikit‑learn, Hugging Face Architectures: LLMs, Diffusion Models, Transformer-based CV & NLP, GANs, RLHF
MLOps / Infra: Docker, Kubernetes, CI/CD, Cloud
Other Tools: Vector DBs, LangChain, Prompt Engineering, Model Metrics
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Feel free to explore my projects and repositories.
If you're working on AI challenges, open-source tools, or production deployment of intelligent systems—let’s connect on