I am a Senior AI/ML Engineer with over eight years of experience building production-ready artificial intelligence solutions. My core expertise spans natural language processing, speech processing, large language models, computer vision, and generative AI.
I develop and deploy scalable machine learning services using Python and modern backend frameworks such as FastAPI and Flask. I have delivered AI systems that improve model accuracy, reduce inference latency, automate manual workflows, and support high-volume enterprise use cases.
My experience includes designing RAG pipelines, fine-tuning language models, building chatbot and agentic AI applications, and integrating LLM providers such as OpenAI, Ollama, and Hugging Face. I also work with vector databases and semantic search to improve retrieval relevance and knowledge-driven applications.
I have strong MLOps and cloud deployment capabilities, including AWS, Azure ML, Vertex AI, Docker, Kubernetes, Terraform, CI/CD, and serverless model deployment. I focus on building reliable, cost-efficient, and maintainable AI infrastructure.
In computer vision and speech AI, I have developed solutions for image reconstruction, object detection, video classification, speech recognition, and text-to-speech. I enjoy applying advanced deep learning architectures to solve practical business and operational challenges.
I am experienced in data engineering, ETL pipelines, web automation, and large-scale data extraction. I bring a results-driven approach to AI engineering, combining technical depth with measurable improvements in accuracy, efficiency, and user experience.
