Bengaluru, India · Available for backend roles · Immediate joiner
BACKEND ENGINEER / JAVA · SPRING BOOT · AWS
I build reliable backend systems with Java and Spring Boot.
Around 2 years of software development experience across payment services, cloud-native microservices, data platforms, and AI-assisted diagnostics.
LinkedIn profileSELECTED IMPACT
Production improvements, not just features shipped.
01 / ABOUT
Practical engineering, built for production.
I work on backend services where correctness, latency, and reliability matter. My experience spans fintech payment flows, reference data, AWS-based microservices, and AI-assisted root-cause analysis.
I value simple APIs, clear service boundaries, useful observability, and code that is easy for another engineer to maintain.
02 / EXPERIENCE
Experience in production environments.
Backend development across fintech, data platforms, and infrastructure.
Software Development Engineer I
NIUM
- Built real-time Java/Spring Boot payment systems processing 5K+ daily transactions across 50+ banking partners with 99.99%+ uptime.
- Improved payment success rates by ~15% and reduced manual intervention by ~40% through automated validation.
- Built a Claude-powered MCP server for transaction-failure root-cause analysis using database logs and diagnostics, reducing investigation time by ~30%.
- Migrated SWIFT, IFSC, and bank-code reference data into a centralized graph-based system, reducing configuration complexity and improving partner onboarding.
- Added Redis caching to high-traffic lookups and operated AWS EKS microservices with automated scaling, CI/CD, and monitoring.
Associate Backend Developer
Blacklight Studio
- Built Java/Spring Boot backend services to improve platform scalability and modularity.
- Designed REST APIs and caching strategies that reduced average response time from ~200 ms to 50 ms (75%).
- Optimized database queries and implemented connection pooling to handle concurrent load with low latency.
- Collaborated with cross-functional teams to ship production features and maintain service reliability.
Software Engineer
Inorg (VivaOps)
- Built backend services and microservices with Java and Spring Boot for internal applications.
- Implemented Jenkins CI/CD pipelines, reducing manual deployment effort by ~70%.
- Managed AWS EC2, S3, RDS, and VPC with auto-scaling; used Terraform and Ansible to reduce deployment time from ~45 minutes to 5 minutes.
- Containerized applications with Docker and orchestrated them on Kubernetes.
03 / SKILLS
A focused backend stack.
Core technologies I use to build, ship, and operate backend services.
Languages
JavaSQLC++JavaScript
Java & APIs
Spring BootSpring FrameworkSpring Data JPAHibernateSpring CloudMicroservicesREST APIs
Data & Messaging
MySQLPostgreSQLMongoDBRedisAmazon SQSRabbitMQEvent-Driven Architecture
Cloud & DevOps
AWSEKSEC2RDSS3VPCDockerKubernetesJenkinsCI/CDTerraformAnsible
Engineering
MultithreadingConcurrencyOOPSystem DesignAgile/Scrum
Tools & AI
GitMavenGradleIntelliJ IDEAPostmanCloudWatchClaude APIMCPPrompt Engineering
04 / PROJECTS
Selected backend work.
FLAGSHIP CASE STUDYInternal · no public demo
MCP Server — AI-Powered Root-Cause Analysis
NIUM
A Claude-powered MCP server that connected transaction context with database logs and diagnostics to help engineers investigate payment failures.
HIGH-LEVEL WORKFLOW · CONFIDENTIALITY-SAFE OVERVIEW
01Payment failure context
02Database logs and diagnostics
03Claude-assisted analysis
04RCA summary
Problem
Investigating transaction failures required engineers to gather relevant transaction context, database records, and operational diagnostics.
Approach
Built focused MCP tools to expose investigation context to Claude for structured root-cause analysis.
Outcome
Reduced root-cause investigation time by approximately 30%. Internal company work; implementation details are summarized for confidentiality.
Internal case study; details are summarized for confidentiality.Discuss this work
DATA PLATFORMInternal · no public demo
Banking Reference Data Graph
NIUM
Migrated SWIFT, IFSC, and bank-code reference data from application code into a centralized graph-based system to simplify configuration and partner onboarding.
Problem
SWIFT, IFSC, and bank-code reference data needed repeated maintenance across application configuration.
Approach
Moved reference data into a centralized graph-based system.
Outcome
Reduced configuration complexity and improved partner onboarding.
Internal case study; details are summarized for confidentiality.Discuss this work
ALGORITHMIC PROJECT
Word Lookup Dictionary
Dictionary application
A dictionary application using Trie-based word lookup with O(m) lookup time, where m is the word length.
Problem
Finding words and handling spelling variations requires fast exact lookup and useful suggestions.
Approach
Implemented Trie-based lookup, auto-suggestion, and spell correction using Levenshtein distance with fuzzy matching.
Outcome
Combines efficient exact search with spelling-aware suggestions and correction in one dictionary workflow.
05 / EDUCATION & RECOGNITION
Education and competitive programming.
EDUCATION
B.Tech in Computer Science
Shri Mata Vaishno Devi University
2020 – 2024ACHIEVEMENT
CodeChef · 4-star
1654 points · Global Rank 2 in the November Long 2022 contest, Division 3 (Rated).
06 / CONTACT
Let's build something useful.
For backend engineering roles, technical conversations, or interesting engineering problems.