- Architected a Text-to-SQL GenAI agent using Python and FastAPI with enterprise-grade security (JWT, rate limiting), driving $300K+ in client revenue and earning the Q4 2023 High Flyer Award.
- Engineered autonomous Azure AI Agents for a global supply chain platform; LLMs scrape, parse, and verify supplier capabilities from unstructured web data.
- Developed a probabilistic Marketing Mix Modeling (MMM) framework using Meta's Robyn to quantify channel-wise ROI and output budget allocation strategies for C-suite teams.
- Built ML-based commodity cost prediction pipelines within hierarchical Work Breakdown Structures (WBS), replacing manual estimation cycles.
- Led end-to-end design, development, and deployment of three enterprise SaaS platforms: an MMM platform, a Supply Chain Risk Intelligence platform, and a Cost Intelligence & Procurement Optimization solution.
- Architected cloud-native solutions on Microsoft Azure (App Services, Functions, SQL DB, Blob Storage, Key Vault), ensuring security, scalability, and fault tolerance.
- Managed two agile engineering teams (11 and 9 members) for full-stack development using .NET Core, Python, ReactJS, TypeScript, and Azure DevOps.
- Architected CI/CD practices through Azure Pipelines, Dockerized builds, and automated testing, reducing release times significantly.
- Provided mentorship and technical leadership, introducing clean architecture standards, secure coding practices, and peer review culture.
PythonFastAPILLMsAzureGenAILangChainDockerKubernetes