• Designed and led backend architecture for an AI-enhanced financial analytics platform handling millions of
daily transactions, enabling real-time insights for enterprise customers.
• Developed microservices and REST/GraphQL APIs using FastAPI, Django, Node.js, PostgreSQL, Redis, and
Kafka to improve throughput, resilience, and fault tolerance.
• Defined engineering standards for code quality, security, architectural decisions, and CI/CD, strengthening
team efficiency and delivery reliability.
• Integrated GPT-based summarization, anomaly detection, and recommendation engines, reducing manual
analysis time by 50% and improving AI adoption across enterprise workflows.
• Managed containerized infrastructure with Docker, Kubernetes, and AWS ECS, and automated deployments
using GitHub Actions for consistent, secure release cycles.
•Implemented strong authentication, authorization, and data-protection measures to safeguard financial data
and maintain compliance.
• Collaborated with product teams to refine technical requirements, align with product vision, and translate
customer needs into scalable backend capabilities.
• Worked closely with AI researchers to operationalize ML models into production APIs using an API-first and
event-driven architecture approach.

• Built secure full-stack applications for defense and intelligence analytics using React, TypeScript, Node.js, and PostgreSQL.
• Integrated real-time analytics pipelines and machine learning models by collaborating with AI engineering teams.
• Mentored junior developers and introduced coding standards that streamlined consistency and long-term maintainability.
• Deployed and improved containerized services on AWS using Docker, improving scalability and uptime.
• Enhanced data-visualization performance by 30% through query optimization and frontend rendering enhancements.
•Worked independently within high-security environments, contributing to mission-critical application development.

•Delivered full-stack features for an AI-powered content-generation platform that reduced content creation time by 70% and increased user engagement by 5%.
•Built reusable components and optimized API integrations that accelerated release cycles.
•Improved model inference speed by 30% using backend optimization and caching strategies.
•Developed scalable applications using React, Next.js, TypeScript, Node.js, and GraphQL/REST APIs.
•Collaborated with data scientists to deploy GPT and Stable Diffusion models into production using APIdriven model orchestration.