Vishwas Mamgain
@vishwasmamgain
I build scalable Java microservices for secure, high-volume fintech workflows.
What I'm looking for
At FINCART, I built scalable Java and Spring Boot microservices for fintech transaction processing, handling 10,000+ transactions per day. I improved backend latency by 30% through Redis caching and SQL optimization, while reducing AI API costs by 70% using semantic caching and confidence-based request reuse.
I design secure REST APIs with Spring Security, JWT authentication, and RBAC, and build asynchronous Kafka workflows that decouple transaction ingestion from downstream processing. My work includes reliable retries, idempotency, dead-letter queues, and automated reconciliation with Spring Batch that reduced manual effort by 40%.
Previously at ARJH Tech Labs, I built REST APIs with Java, Spring Boot, Hibernate, and PostgreSQL, optimized 15+ SQL queries by roughly 90%, and resolved production issues involving memory leaks, thread contention, cache inconsistencies, and performance bottlenecks.
I'm currently building an AI-Powered Job Tracker with Spring Boot, Redis, Docker Compose, Spring AI, JWT, and Groq LLM natural-language search across structured job data.
Experience
Work history, roles, and key accomplishments
Freelance Backend Engineer
Self-Employed
Apr 2026 - Present (4 months)
Designed and developed an AI-Powered Job Tracker using Java, Spring Boot, PostgreSQL, Redis, Spring AI, JWT, and Docker Compose. Integrated Spring AI with Groq LLM for natural language search and implemented Redis caching with TTL-based invalidation.
Software Engineer
FINCART
Mar 2024 - Apr 2026 (2 years 1 month)
Developed scalable microservices for fintech transaction processing using Java, Spring Boot, Apache Kafka, Redis, and PostgreSQL. Reduced AI API costs by 70% with Semantic Caching and improved backend response latency by 30% through Redis caching and SQL optimization.
Junior Software Engineer
ARJH Tech Labs
Sep 2021 - Mar 2024 (2 years 6 months)
Built REST APIs using Java, Spring Boot, Hibernate, and PostgreSQL and migrated monolithic applications. Designed fault-tolerant Kafka consumers with Retries, Idempotency, and Dead-Letter Queues, and optimized SQL queries reducing execution time by 90%.
Education
Degrees, certifications, and relevant coursework
Swami Rama Himalayan University
Completed education at Swami Rama Himalayan University in 2019.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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