AI Engineer and Data Scientist with over 10 years of professional analytical and technical experience, specializing in production-grade AI systems, Agentic AI, and enterprise automation. Proven track record architecting scalable Retrieval-Augmented Generation (RAG) platforms, custom Model Context Protocol (MCP) toolkits, and computer vision pipelines. Experienced cross-functional leader acting as both Technical Lead and Product Owner to bridge the gap between complex engineering and executive business strategy.
Technical Skills
Generative & Agentic AI: Model Context Protocol (MCP) Tools & Skills, AI Agents, Tool/Function Calling, RAG, AWS Bedrock, Azure AI, Prompt/Context Engineering, Semantic Search, Vector Databases (Pinecone, Milvus, PGVector), LLM Orchestration
Machine Learning & Data Science: PyTorch, Computer Vision (Object Detection, Segmentation), NLP, Deep Learning, Predictive Modeling, Statistical Analysis
Data & Cloud Engineering: Python, SQL, REST APIs, ETL Pipelines, Microservices, Docker, Kubernetes (CronJobs), Git, CI/CD, Microsoft Graph API, Parquet
Analytics & Product Management: Agile/Scrum, Product Ownership, Jira, Confluence, Power BI, Spotfire, Tableau