Senior Software Engineer and AI Engineer

Demonstrating expertise in backend systems engineering and AI integration, this professional designs high-concurrency event-driven architectures, real-time messaging, and autonomous LLM orchestration layers using Python (FastAPI), Node.js, Socket.io, Model Context Protocol (MCP) servers, Redis, and RabbitMQ. They have delivered substantial operational impact across healthcare and logistics by implementing HL7/FHIR data transformations via Mirth Connect, custom AI verification guardrails, and route optimization engines with PostgreSQL—reducing manual labor and processing errors by up to 70%, improving delivery times by 15–20%, and accelerating emergency response by 30%. Through asynchronous queues, cron jobs, and Winston logging, they maintain sub-100ms latency and zero data loss across 5K+ simultaneous updates and 1000+ daily deliveries, while accelerating feature deployment by 40% via GitHub Actions CI/CD pipelines and mentoring mid-level engineers in distributed design and test pyramid standards.

Engineered backend systems using Node.js, Laravel, and optimized MySQL/PostgreSQL databases to deliver high-concurrency performance and strict security for over 10,000 monthly users. Across multiple domains, they automated candidate matching in a job portal by integrating LLM-based parsing and custom prompt pipelines to speed up screening by ~35%, streamlined financial operations via an automated Loan Management System that cut processing effort in half, and built an event-driven notification architecture supporting 1,000+ simultaneous registrations during international events while cutting communication overhead by ~40%. By optimizing database indexing, restructuring Azure cloud storage architecture, and implementing JWT with Role-Based Access Control (RBAC), they cut query response times by up to 35%, slashed storage latency and infrastructure costs by 30–40%, and reduced unauthorized access incidents by ~40%.

Engineered enterprise-grade backend services supporting high-stakes business workflows for major clients like Pepsi, Coca-Cola, and LinkedIn while maintaining >99.9% system uptime. They drove operational productivity by building a localized RAG-based semantic search service for CRM workflows that sped up complex text lookups by ~25%, alongside seamless API integrations across G Suite, Salesforce, Office 365, Twilio, and Zoom that cut manual coordination by ~40%. By optimizing REST APIs, database queries, Redis caching, and lazy loading strategies for large datasets, they reduced response and page load times by up to 40% while significantly easing database load. Additionally, they fortified system trust by implementing OAuth, Laravel Passport, and 2FA authentication—reducing unauthorized access incidents by ~50%—and streamlined release reliability by automating CI/CD pipelines to cut deployment errors by ~30%.

Bachelor's degree in Computer Science.

Completed O Level education.

Completed A Level education.