◆ Architected an automated NLP pipeline to classify 9,000+ articles, orchestrating multiple LLM APIs with a Python fallback layer to maximize throughput and optimize costs for National Immunization Program analysis

◆ Engineered a stratified sampling framework to process an 8M+ record dataset, implementing a hierarchical weighting model to ensure statistical validity and resolve semantic collisions

◆ Built AI-powered service agent with OpenAI GPT integration, implementing custom context management for proprietary documents and dynamic caching to reduce p50 latency by over 35%.

◆ Created full-stack team capacity management platform using Django REST Framework and PostgreSQL, delivering API with 23 endpoints including 11 custom business logic services for schedule optimization and resource allocation.

◆ Produced responsive frontend interfaces using Django templates and Bootstrap, implementing real-time user interactions with seamless data synchronization for enhanced user experience.

◆ Deployed application using Docker and AWS ECS Fargate, establishing production infrastructure featuring automated container orchestration, CORS security policies, and AWS Secrets Manager integration.

◆ Engineered a Container CVE Scanning Integration using AWS SDK to manage 2,600+ vulnerabilities identified via Clair security scanning, enabling engineering teams to promptly identify and mitigate potential security risks.

◆ Developed Analysis Dashboards utilizing React, TypeScript, and MUI, leveraging React Hooks for efficient state management and React Router for seamless navigation, delivering a performant and accessible interface.

◆ Constructed a Connectivity Platform utilizing Node.js v20 with Typescript, establishing 87% code coverage across core API layers with Jest to ensure long-term reliability.

◆ Integrated Make automation software to streamline and expedite the development of over 60 API integrations, including X/Twitter, Discord, and Discourse, enabling auto-validation for user activities.

◆ Analyzed 65,000+ media discussions using scikit-learn, Natural Language Toolkit (NLTK), NumPy, pandas and seabornn in collaboration with cross-functional teams. Presented findings to non-technical audiences.

◆ Migrated dashboard generation code from R to Python, leveraging Python’s ecosystem to better adhere to best practices for production code, ensuring streamlined development and maintenance.