Headline

Staff Software Engineer at Reltio | Ex - Flipkart, Clear, Ajio

About

I am a results-driven Software Development Engineer with extensive experience in building scalable and high-performance backend systems. With a strong background in Java, Kotlin, and a wide range of technologies such as SpringBoot, Hibernate, Kafka, Redis, and AWS, I’ve consistently delivered robust solutions for leading organizations like Ajio and ClearTax. At AJIO, I played a pivotal role in optimizing the Pricing Engine, which handled an average of 200 million daily transactions. By implementing innovative caching mechanisms, database optimizations, and parallel execution strategies, I contributed to significant performance improvements—achieving up to 87.5% reduction in Redis CRUD times and a 30% reduction in DB query times. I also led the development of an A/B Experimentation Framework to enhance transaction handling. I’m passionate about solving complex technical challenges and have successfully led architecture discussions and technical implementation to meet demanding SLAs. My efforts have been recognized through multiple awards, including the Star Performer Award at AJIO for my contributions to improving the Pricing Engine’s throughput. Beyond my technical acumen, I have a strong ability to mentor engineers, lead code reviews, and collaborate effectively with cross-functional teams. I thrive in fast-paced environments and am always seeking opportunities to learn and innovate.

Location

Bengaluru

AI stack

claude code

claude

cursor

gemini

grok

xai

Work experience

Staff Software Engineer at Reltio, Feb 2026 - Present · 7 mos, Bengaluru, Karnataka, India

SDE-3 at Flipkart, Oct 2024 - Jan 2026 · 1 yr 4 mos, Bengaluru, Karnataka, India

SDE-2 at Rio, Mar 2024 - Oct 2024 · 8 mos, Bangalore Urban, Karnataka, India

SDE-2 at Clear, Oct 2023 - Mar 2024 · 6 mos, Bengaluru, Karnataka, India

SDE - 2 at AJIO.com, Aug 2021 - Oct 2023 · 2 yrs 3 mos, Hyderabad, Telangana, India, PRICING ENGINE 1. Enhanced the Pricing Engine, responsible for aggregating and delivering accurate pricing information, for a scale of avg 200 million transactions per day (~2300 TPS) and reaching close to 500 million transactions per day during sale time (~5700 TPS) 2. Optimized the redis caching mechanism in the Pricing Engine, resulting in an impressive 87.5% reduction in redis CRUD operation time 3. Implemented an efficient batching system for DB writes, resulting in a notable 30% reduction in DB insert query times 4. Revamped the discount triggering logic through the implementation of concurrent Kafka consumers, resulting in an astounding 80% reduction in data processing time AUDIENCE MANAGER 1. Championed the end-to-end design and spearheaded the development of Audience Manager, an A/B Experimentation Framework, for a scale of avg 37 million transactions per day (~280 TPS) 2. Achieved a remarkable 75% reduction in Gradle build times by implementing efficient parallel test case execution strategies. 3. Revamped Redis storage by introducing TTL, which resulted in an astounding 89% reduction in the number of Redis keys. Additionally, successfully implemented codecs and compression techniques, leading to an impressive 30% decrease in memory utilization.

Education

Bachelor of Technology - BTech, Electronics Engineering, Veermata Jijabai Technological Institute (VJTI)