Feb 2025 – Jun 2025 · 4 mos · Bangalore Urban, Karnataka, India · On-site

• Worked on establishing monitoring and alert systems for API calls with third party vendors across all services using libraries created in house to facilitate latencies and errors on calls.
• Lead team to develop product for a new bank to onboard customers and transact on Credit Line on UPI

Aug 2024 – Jan 2025 · 5 mos · Gurugram, Haryana, India · Hybrid

• Migrated event streaming architecture from TSV to AVRO for Apache Kafka based events for topics taking traffic upto 30K transactions per second. Java and Springboot based microservice employed. Ensured quality using robust testing techniques using Python and Pandas dataframes for consistency and identifying any faults.
• Developed video metadata parsers for multiple video sources like Mhoch4, VideoElephant, Youtube etc. Java and Springboot based microservice along with PostgresQL and ElasticSearch storages.

May 2023 – Jul 2024 · 1 yr 2 mos · Delhi

• Time off to focus on personal growth, family and reading about intricacies of old and new technologies. During this time I learnt to build a healthy routine, about the importance of plants in our lives, learnt gardening and adopted some new hobbies. My day looked like this :
• Woke up at 6 am. Drank dry fruit smoothie or wheatgrass juice.
• Heavy weight training/cardio at the gym from 7 am to 8:30 am. Meditation on some days.
• From 8:30 to 9:30 I would water my 50 house plants, wheatgrass trays, showered, have breakfast.
• 9:30 to 12:30, I would solve Data Structures and Algorithms problems on leetcode.
• 12:30 to 1:30 - Lunch
• 1:30 to 3:30 - Reading Designing Data-Intensive Applications published by O' Reilley to learn about design intricacies.
• 3:30 to 5:30 - Hands on to some personal Java projects, implementing low level design patterns, playing with Java functionalities.
• 5:30 pm to 7:00 pm - Had sprouts salad, Played video games on PS4 or played tennis, Shopped for groceries.
• 7:00 pm to 8:00 pm - Dinner with my favorite series (Parks and Recreation at the time) or with my family.
• 8:00 pm to 9:00 pm - Read Inglorious Empire written by Shashi Tharoor resurfacing the atrocities inflicted by the British empire on the Indian economy and citizens. Their role in estabilishing the caste system and widening the differences between the citizens. A very good read.
• 9:00 pm - Off to bed.

Jun 2022 – Apr 2023 · 10 mos · Bengaluru, Karnataka, India

• PoC for integration with 3rd party V7Labs application for annotation processing on personal identities. AWS Sagemaker employed to achieve integration with V7Labs APIs using python SDK.
• Implemented data records movement for intra team data management. PostgresQL datastore managed through Java/Springboot based microservice. Event handling using AWS SNS/SQS.
• Dataset creation project/Merging image data from multiple sources (KYC/KYX platforms, BI events, ML model outputs) for ML model ingestion and training purposes. Complex join mechanisms using AWS Athena, S3, CodeBuild, ECS and Jenkins for code deployment.

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

• Working on providing exit solutions to private brands who would like to offboard from Amazon accelarator program.
• Creating new tables to store the information about exiting brands for probbale future rejoins.
• Infrastructure to provide automated ways for the merchant to offboard themselves from the program, currently handled manually by Business operatives.

Jul 2021 – Nov 2021 · 4 mos · Bengaluru, Karnataka, India

• • Implemented component of feature called PayDock which provides internal clients with AWS resources and boiler plate logic to communicate with external payment partners through secure message or file connectors for critical data exchange.

Aug 2019 – Jun 2021 · 1 yr 10 mos · Bengaluru, Karnataka, India

• Rule based UI implementation in Alexa to provide users with the functionality of providing permissions through voice to Alexa framework to enable payments for the product 'Alexa Pay for Gas' launched by Amazon Pay in 2020.
• Implemented security protocols (JWT based authentication mechanisms) for safe exchange of payment card details with external payment processor (Firserv) to complete payments for Alexa Pay For Gas feature.
• Data relocation in real time for all orders processed for India external payments team to comply with PAPG regulations implied by RBI.

Jun 2017 – Jul 2019 · 2 yrs 1 mo · Bengaluru, Karnataka, India

• Worked on creating payment products on Amazon Mshop App to suffice payments in stores with Clover POS devices for US marketplace.
• Created APIs for programmatic onboarding (through SPs/aggregators) of merchants onto Amazon Pay to enable them to take payments through Amazon Pay wallet.
• Microservice to authenticate and authorize solution providers through auth&Z mechanisms to provide firewall protection to above mentioned APIs.
• Integration testing, alarms creation, general SOPs for newly created microservice management.