Skip to main content
Vishwas MamgainVM
Open to opportunities

Vishwas Mamgain

@vishwasmamgain

I build scalable Java microservices for secure, high-volume fintech workflows.

India
Message

What I'm looking for

I'm looking for backend engineering work where I can build secure, scalable Java microservices, improve performance and reliability, and apply Kafka, Redis, PostgreSQL, and AI-powered workflows to real product problems.

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

SE
Current

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.

FI

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.

AL

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

SU

Swami Rama Himalayan University

Completed education at Swami Rama Himalayan University in 2019.

Get matched with your dream remote job

Sign up now and join over 250,000+ remote workers who receive personalized job alerts, curated job matches, and more for free!

Sign up
Himalayas profile for an example user named Frankie Sullivan