Oct 2023 – Mar 2025 · 1 yr 5 mos · Bengaluru, Karnataka, India · Hybrid

• Collaborated with team of seven to enhance ledger system by implementing filtration, validation, and parsing techniques
• to improve processing speed, data integrity, and scalability, supporting more than 5 million daily transactions.
• Developed and implemented custom business logic for the wealth management division, enabling T+1 settlements and
• reducing the average transaction visibility time from over a day to 17 minutes.
• Upscaled the system using various APIs to enrich missing account and product flows, significantly reducing breaks in the
• transaction pipeline; achieving up to 98% reduction in breaks for positions, balances, and activities across premises.
• Automated end of day reconciliation jobs for 120k+ daily transactions using autosys and shell scripting, improving
• system efficiency, preventing data conflicts, and reducing manual tasks by leveraging shell scripts and Excel macros.

Feb 2023 – Sep 2023 · 7 mos · Banglore · On-site

• Owned a critical integration service that seamlessly connected
• the core digital signing platform with external services, ensuring
• seamless data flow.
• Developed multiple APIs aligned with diverse product use cases
• and wrote migrations that streamlined client onboarding,
• ensuring a smooth transition to our platform.
• Optimized API latency by effectively implementing AWS Lambda
• to offload resource-intensive tasks,resulting in improved system
• responsiveness. Utilized a PDF library to create personalized
• documents tailored to individual Dealer details and customer
• signatures.
• Mentored and collaborated with interns, facilitating their
• successful integration into the team and fostering their valuable
• contributions

Jun 2022 – Dec 2022 · 6 mos

• Migrated various APIs, which helps in processing orderrequests
• (as perthe client) by interacting with different external services
• like identity, pricing, supply, geography, and processing different
• business logistics (configured at the ordering end).
• Caused a considerable decrease in latency because of apis
• migration; for update booking observed by Grafana, the average
• P99 fell from 3.05s to 1.26s.
• Implemented a new feature to mitigate the revenue loss from
• payment failure by retrying card charging with different
• parameters or at a different time based on the payment failure
• reason