.png){kind=logo}
Vignesh Shanmugasundaram
Junior Software Engineer specializing in full-stack development and applied ML
Connect with Vignesh
Vignesh already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.
Recommended
Already have an account?
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.
Find your next great hire
Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.
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
Like what you see? We'll introduce you to Vignesh directly.
Experience
Education
Awards
Languages
Publications
2 publications
Memberships
Browse Similar
Interested in Vignesh?
We'll personally introduce you - no strings attached.
Build your dream team with Reval
Our AI agents source, screen, and vet candidates for your open roles. Get qualified, high-intent candidates on your desk within 48 hours.
Discover more candidates like Vignesh
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.
Search Talent