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Nilesh MulchandaniNM
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Nilesh Mulchandani

@nileshmulchandani

Full-stack and backend engineer building high-throughput distributed, cloud-native systems with Java, Spring Boot, and React.

India
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What I'm looking for

I’m looking for a role where I can build cloud-native microservices and performant distributed systems end to end—owning APIs, event pipelines, observability, and AI-assisted debugging to reduce time-to-diagnose and operational toil.

I’m a full-stack and backend engineer with 5 years of experience building high-throughput distributed systems and cloud-native platforms. At Oracle and Deutsche Bank, I’ve developed and optimized Java/Spring Boot microservices and React-based internal dashboards, with a strong focus on performance optimization, concurrency, resiliency, and observability.

Some of my proudest work includes designing full-stack workflows for Oracle HCM Fusion Global Payroll, improving payroll execution latency by 20% (reducing elapsed time from 1.5s to 0.2s under peak concurrent load) while supporting 3000+ enterprise customers. I also built an internal AI debugging platform using OpenAI Codex and MCP to automate payroll log analysis and reduce mean time to diagnose failures from weeks to days, and I engineered Kafka-based async pipelines for KYC onboarding that reduced end-to-end processing time by 40%, enabling fault-tolerant, at-least-once delivery.

Experience

Work history, roles, and key accomplishments

Oracle logoOR
Current

Applications Software Developer 2

Mar 2023 - Present (3 years 2 months)

Designed and optimized Java/Spring Boot microservices with React dashboards for Oracle HCM Fusion Global Payroll, supporting 3,000+ enterprise customers and processing payroll for 1M+ employees concurrently. Reduced payroll processing latency by 20% (1.5s to 0.2s under peak load) by tuning SQL/indexes and cut mean time to diagnose payroll failures from weeks to days using an AI debugging platform

Deutsche Bank logoDB

Senior Analyst

Nov 2022 - Mar 2023 (4 months)

Engineered backend services for KYC onboarding platforms serving 1,500+ internal users using Java, Spring Boot, Kafka, and microservices. Built Kafka-based async event pipelines that reduced end-to-end processing time by 40% and developed RESTful APIs with thread-safe concurrency and circuit-breaker resiliency to support zero-downtime deployments.

Deutsche Bank logoDB

Technology Analyst

Jul 2021 - Nov 2022 (1 year 4 months)

Developed and maintained 25+ backend APIs and business services across internal banking platforms using Java, Spring Boot, SQL, REST, and microservices architecture. Improved reliability and performance by refactoring legacy components, optimizing high-frequency SQL queries, and introducing modular design patterns to reduce technical debt.

Education

Degrees, certifications, and relevant coursework

Nirma University logoNU

Nirma University

Bachelor of Technology (B.Tech), Computer Engineering

2017 - 2021

Activities and societies: Google Hash Code 2021: AIR 61 (Global Rank 399/9000); Codeforces Specialist (1578); CodeChef 4 (2063).

Completed a B.Tech in Computer Engineering at Nirma University (2017–2021). Achieved Google Hash Code 2021 AIR 61 and performed competitively on Codeforces and CodeChef.

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