NILESH KHIMANI

Software Engineer

Bengaluru, Karnataka, India3 yrs 3 mos experience

Most Likely To Switch

Key Highlights

Engineered high-throughput systems for crypto transactions.
Led zero-downtime migrations enhancing CI/CD reliability.
Built scalable inventory management systems for e-commerce.

Stackforce AI infers this person is a Backend Engineer specializing in Fintech and E-commerce solutions.

Contact

nilesh.khimani@coindcx.com LinkedIn

Skills

Core Skills

Backend DevelopmentKafkaKubernetesJava

Other Skills

Software DevelopmentGo (Programming Language)ContainerizationMongoDBDockerSpring BootRedisHibernateSoftware Development Life Cycle (SDLC)Systems DesignHigh-Level DesignLow-Level DesignJava DevelopmentDistributed SystemsGrafana

About

Currently excelling as a Backend Engineer at CoinDCX, I leverage my B.Tech in ICT from DAIICT to build reliable, scalable, and high-performance backend systems. My expertise spans Java, Golang, Kafka, Redis, PostgreSQL, and containerized cloud environments, enabling me to contribute to robust service architectures and efficient data pipelines. Previously at Myntra and RapidBox, I strengthened system reliability, optimized backend performance, and collaborated closely with cross-functional teams to improve engineering workflows and platform efficiency. I enjoy solving complex backend problems, improving system design, and delivering business value through stable, well-engineered services. I’m committed to continuous learning, impactful engineering, and building backend platforms that scale with growing product demands.

Experience

3 yrs 3 mos

Total Experience

1 yr 1 mo

Average Tenure

1 yr 2 mos

Current Experience

Coindcx

Software Engineer

Mar 2025 – Present · 1 yr 2 mos · Bengaluru · Hybrid

Engineered a high-throughput Crypto SIP Engine for volatile assets (BTC, ETH) that schedules and executes 100k+ daily transactions with near-zero failure, enabling predictable recurring revenue.
Designed and shipped a Real-Time Trade Advisory Engine delivering low-latency market signals; drove a 97% uplift in user conversion and +45% ARPU by surfacing high-value recommendations.
Optimized Home Screen navigation, increasing total order volume by 25.1% and AOPU by 5.1%.
Re-architected VIP Tiering and Affiliate Cashback workflows by replacing cron-based batch jobs with Kafka stream processing, ensuring idempotency, accuracy, and zero manual interventions.
Architected and developed a platform-wide Revenue Sharing Referral Program that enabled seamless onboarding of influencers and sub-brokers, driving sustained growth in user acquisition and trade volume.
Built a Self-Serve Admin Portal with Slack audit integration for managing referral mappings, removing manual script dependencies and reducing operational effort by ∼80%.
Implemented structured logging, Grafana dashboards, and proactive alerting, reducing MTTR and improving incident triage quality.

Software DevelopmentGo (Programming Language)Backend DevelopmentKafka

Myntra

Software Engineer

Jun 2024 – Mar 2025 · 9 mos · Bengaluru, Karnataka, India · On-site

Rolled out Pod Disruption Budgets (PDBs) across all production clusters to prevent ungraceful service terminations and strengthen system stability.
Led a secure, zero-downtime migration of JFrog Artifactory, resolving critical vulnerabilities and restoring CI/CD reliability across engineering teams.
Built and deployed a Kubernetes Pod Cleaner that reduced stale pods from 6000+ to <400 (90% reduction), cutting cloud infrastructure costs.
Improved deployment resiliency through container optimization, removal of bottlenecks, and enhanced logging and monitoring pipelines.
Technologies: Golang, Java, Kubernetes, Docker, CI/CD, RethinkDB, PostgreSQL, Redis

ContainerizationMongoDBBackend DevelopmentKubernetes

Rapidbox

3 roles

Associate Software Developer

Jul 2023 – Jun 2024 · 11 mos

Built a scalable Production & Inventory Management System (PMS/IMS) using Java, Spring Boot, and Redis for high-throughput SKU processing.
Designed database schemas, multi-level caching strategies, and high-performance REST APIs.
Developed a Real-Time Reporting Engine for forecasting and sales analytics, enabling faster and data-backed decision making.
Technologies: Java, Spring Boot, Redis, MySQL, Hibernate

JavaSpring BootBackend Development

Associate Software Engineer

Jul 2023 – May 2024 · 10 mos

Built a scalable Production & Inventory Management System (PMS/IMS) using Node.js, Express, PostgreSQL, and Redis to support high-throughput SKU operations.
Designed optimized database schemas, caching layers, and RESTful APIs supporting large-scale inventory transactions.
Developed a Real-Time Reporting Engine using Node.js event pipelines for inventory forecasting and sales analytics.