Junior Software Engineer specializing in full-stack development and applied ML
New York, NYSoftware Engineering Intern2 years experienceJuniorTechnologyE-commerceDigital Advertising
ScreenedIdentity Verified
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About
Full-stack engineer with experience at Zoho and Amazon who has owned production systems end-to-end, including a monolith-to-microservices migration using Kafka and Cassandra that improved search latency ~25% and increased throughput without data loss. Also built a hackathon project (Buildwise) into a sold product for a construction company (AI-driven document compliance checks) and shipped an IoT-based parking availability MVP in 3 weeks.
Experience
Software Engineering InternAmazon.com
Software EngineerZoho Corporation
Software Engineer InternZoho Corporation
Full Stack Developer InternAB Plastomech
Full Stack Developer InternMarketing Advertising Solution
Software Engineering InternAmazon.com Inc.
Education
New York Universitymaster, Computer Science (2026)
Anna Universitybachelor, Computer Science and Engineering (2022)
Key Strengths
Owned and shipped an end-to-end production history management system (frontend, backend, deployment)
Led migration from monolith to microservices with Kafka pipeline and Cassandra storage
Improved search latency by ~25% (reduced to ~one-fourth of prior time)
Built high-throughput ingestion with no lag/data drops under heavy load
Designed worker/consumer + transformer services for scalable, maintainable data processing
Shipped an IoT-based parking availability MVP in ~3 weeks under ambiguous requirements
Built and sold a hackathon-origin product (Buildwise) to a construction company
Modernized monolith into queue-driven microservice with reliability patterns (idempotency, retries, DLQ, monitoring)
Delivered measurable search performance improvement (60ms to 15ms per 1000 records; ~75% faster) and reduced maintenance overhead
Strong cross-functional stakeholder communication tailored to product/support vs engineering leadership using data and PoCs
Systematic debugging across software + hardware + networking on Raspberry Pi (CPU/thermal/I-O isolation) with robust validation
Designed customer-extensible search/ranking via config + plugin hooks (avoids hard-coded customer logic)
Built and optimized large-scale AWS data workflows for tens of millions of events/day with cost/performance improvements
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