Presentation
and production-grade AI integration. Skilled in building scalable platforms using React, Next.js, Node.js,
Python, Django, FastAPI, and modern cloud tooling. Known for strong problem-solving skills, clean
architecture, and the ability to work independently or as part of a cross-functional team. Experienced in
translating product requirements, customer needs, and technical requirements into reliable, high-impact
engineering solutions. Contribute to product vision by aligning AI capabilities, system design, and user
workflows to deliver intuitive, data-driven experiences for enterprise environments.
Portfolio
Offered services
Background
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.
• 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.
•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.

