Mar 2024 – May 2025 · 1 yr 2 mos · Bengaluru, Karnataka, India · Hybrid

• Built and scaled a distributed customer communication platform to handle high volumes of chats daily, achieving high uptime and improved response times through optimized retry mechanisms and real-time communication solutions using Java, Kafka, DynamoDB, and WebSocket.
• Played a key role in building a high-performing, cross-functional team, hiring developers and contractors, and fostering a culture of ownership and collaboration.
• Designed and developed a hybrid rule-based and NLP-driven chatbot, reducing response times and significantly improving customer satisfaction.
• Automated customer service workflows in collaboration with product and business teams, leading to significant cost savings.
• Collaborated with product, business, and client teams to define goals and build scalable product roadmaps, driving more efficient project delivery.

Nov 2022 – Mar 2024 · 1 yr 4 mos · Bengaluru, Karnataka, India · Hybrid

• Built and scaled the core credit card management platform using Spring Boot, Java, Kafka, MySQL, AWS DynamoDB, and S3, powering 300K issued credit cards with 99.9% uptime and ensuring idempotency across transactions. Integrated Grafana and Prometheus for observability while rapidly scaling the engineering team from 3 to 12 within 1.5 years.
• Developed a distributed microservices platform integrated with 5 banks/fintechs, processing 10 million transactions daily, ensuring scalability and reliability with Temporal and Kafka.
• Designed a configurable credit card onboarding journey, optimizing customer eligibility checks with bank data and reducing the drop rate by 30%.
• Improved team delivery capacity by reducing sprint tech debt, spillover, and bandwidth wastage, leading to a 15% increase in velocity and fewer delays.

May 2021 – Nov 2022 · 1 yr 6 mos · Bengaluru, Karnataka, India · Hybrid

• Contributed to the development of the Data Integration Service (ETL Platform), owning and enhancing the transformation layer. Used Java, Spring Boot, Kafka, Oracle Storage, Oracle Cloud, and Prometheus to create plug-and-play transformation modules, reducing customer code development by 30%. The platform efficiently handles terabytes (TBs) of data, improving scalability and operational efficiency.
• Developed a configurable monitoring service for the platform, addressing customer visibility challenges and enabling custom alerts, which led to 20% fewer support tickets related to data issues and improved operational uptime by 15%, contributing to an 8% increase in CSAT

Sep 2015 – Apr 2021 · 5 yrs 7 mos · Bengaluru Area, India · On-site

• Contributed to Tracxn’s growth from seed stage to IPO readiness, leading infrastructure, platform optimization, and automation initiatives using Ansible. Built and scaled the data profiling pipeline, playing a key role in the IPO transition.
• Developed and scaled a data profiling engine with Kafka, Java, MongoDB, and Elasticsearch, handling 500 million domains per month. The pipeline ran in auto-scaling mode, ensuring cost optimization and delivering real-time insights.
• Built a scalable, distributed Discovery Engine using Java, Elasticsearch, MongoDB, S3, and Kafka to identify startups within 60 days, replacing manual processes prone to errors and missed opportunities

Jul 2014 – Aug 2015 · 1 yr 1 mo · Indore Area, India · On-site

• • Designed and developed data pipelines using Kafka and Java to derive intelligence from unstructured data (network activity, call data, and social activities), storing it in Cassandra to provide real-time profiling and analytics for law enforcement agencies.

Apr 2013 – Jul 2013 · 3 mos · Bhubaneshwar Area, India

• Software Developer