Senior Full-Stack Software Engineer | Cloud & AI Solutions Architect

Contributed to LendingHouse, an AI-powered SaaS lending platform spanning web and native iOS/Android apps, with work across authentication, billing, vector search, and real-time chat. Contributed to Navro, a payments curation platform handling real-time transaction streaming for many concurrent clients. Advised clients on cloud architecture, AI/ML integration, and full-stack delivery across web, mobile, microservices, and serverless platforms on AWS, GCP, and Azure.

Contributed to a microservices platform on AWS supporting thousands of concurrent users and helped reduce infrastructure costs through right-sizing and architecture changes. Built real-time collaboration features with WebSockets and Redis pub/sub, lowering average message latency to under 100 ms. Integrated NLP and ML-powered features (chat, summarization, semantic search) into existing products, increasing user engagement. Supported migration from monolith to serverless architecture on GCP, enabling multiple deployments per day.

Led a cross-functional team of around 7 engineers delivering web and backend features for enterprise telecom products. Introduced CI/CD pipelines and automated testing that reduced release cycle time and improved deployment reliability. Partnered with product, design, and QA teams to translate business requirements into technical roadmaps and on-time releases.

Contributed to cross-platform mobile applications for scientific and research clients, achieving thousands of downloads with strong user ratings. Developed REST APIs in Spring and Django supporting high-throughput services with strong availability targets. Optimized PostgreSQL and MongoDB queries, improving response times by roughly 15% on critical endpoints.

Built research software and analytics prototypes in Java, Python, and MATLAB supporting distributed-systems and machine-learning research, with contributions appearing in peer-reviewed publications. Designed internal data pipelines and visualization tools used by faculty and graduate researchers to process large experimental datasets. Mentored undergraduate research assistants on software engineering best practices, version control, and automated testing.