Shikhar Chitransh

Bangalore, IN.

About

Backend Software Engineer with 6 years of experience, building scalable distributed systems in Java/Kotlin. Designed microservices powering high-GMV flows at Flipkart and cost-saving platforms at Quince. Proven expertise in Java, Kafka, MySQL, Redis, and Spring Boot. Passionate about high-availability systems, performance tuning, and delivering real business impact.

Work

Quince
|

Software Engineer-III

Highlights

Designed and implemented an in-house Review Management System, eliminating reliance on third-party services (Stamped) reducing operational cost by 30%.

Managed data ingestion, moderation, deduplication, and scheduling async email reminders via Temporal Workflows, using MySQL, Redis, and ElasticSearch for storage and querying.

Re-architected the Refresh Website Products Flow, reducing sync latency by 95% and improving time-to-live product accuracy across storefronts.

Designed and implemented APP Exclusive Products Flow, enabling the business to mark specific SKUs as visible only on the mobile app, resulting in a measurable uplift in app traffic and driving higher app-specific conversions.

Tech Stack: Kotlin, Spring Boot, Redis, MySQL. AWS.

Flipkart
|

Software Engineer II

Highlights

Engineered and launched the Challenges System—a key FY 22–23 growth initiative (7th largest GMV impact), enhancing user engagement through actionable tasks.

Optimized performance to sustain 2K QPS, using custom load testing scripts, Java profiling, and implemented system observability via Cosmos dashboards and alerting systems.

Scaled Gamified Scratch Card construct to onboard new business lines (Shopsy, Myntra), boosting ecosystem participation.

Integrated 3rd-party coupon distribution, contributing to a GMV of 60Cr+ in FY 23–24.

Tech Stack: Java, Dropwizard, MongoDB, Kafka.

Edelweiss Financial Services
|

Assistant Manager

Highlights

Led the development of trading infrastructure and algorithms that ranked among the highest revenue contributors in the U.S. geography (FY 20–21).

Designed and deployed low-latency HFT algorithms, optimizing for low response time by leveraging core pinning, and JVM-level tuning.

Tech Stack: Java, Cassandra, Hive, Apache Spark.

Education

IIIT Allahabad

Bachelor of Technology

Electronics

Grade: 8.20/10.0

Skills

Languages

Java, Kotlin, Python, C++, SQL.

Technologies

Spring Boot, Kafka, Redis, MySQL, MongoDB, Elasticsearch, AWS.

Concepts

Microservices, REST APIs, Data Structures, Algorithms, OOPS, HLD, LLD.