Jul 2024 – Nov 2024 · 4 mos · Singapore · Hybrid

• Tech Lead in First Mile Team.
• Designed Vehicle Route matching feature to tag vehicle information with a route to enable product and BI to plan for optimal vehicle utilisation and get insights into the costs involved
• As a self-proposed initiative, designed an audit system for tracking changes to the shipper addresses and related settings to enable Ops visibility and help engineers in a smoother debugging process
• Took company-wide tech talk on Introduction to GPU Programming

Jul 2022 – Sep 2024 · 2 yrs 2 mos · Singapore · Hybrid

• Tech lead in First Mile team leading a team of 6 engineers (distributed across Singapore, India and Indonesia) and involved in the technical architecture and design of the product features and engineering initiatives
• Improved the p99 and p95 response time of the search functionality in Pickup Jobs page used by Operations staff to search for pickups to be done from shippers warehouses by about 15x by migrating the datastore from TiDB to ElasticSearch (Average RPS: 5000, p99 latency: 500ms)
• Designed the workflow to send First Mile Pickup Receipts (consists of success and failed parcels picked up from shipper) for TikTok, Shopee and Lazada shippers every day (about 30k) via WhatsApp resulting in the onboarding of more shippers and an increase in the parcel volume by 5%. (Peak of messages processed: 1 million per day, Average of messages: 50K/min)
• Designed the pipeline for integration of machine learning model with the backend system to identify similar addresses and merge pickups from similar locations to optimize on the number of driver trips being made and reducing the costs per parcel by 15x
• Designed a Proof of Pickups(POP) auto-invalidation system with integration of Machine learning models to identify and reduce fake proofs uploaded by Drivers and inform the supervisors leading to an overall 94% valid fake proof detection. This involved building a generic platform called Jobber to execute any kind of jobs on Kubernetes including ML jobs and adopted by other teams as well for use-cases such as reports generation.
• Took company-wide quarterly tech talks on:
• 1. Redis: Caching and beyond
• https://drive.google.com/file/d/17zm3wf6lhWxYuhXyCVx4JG6vqW4Eugp2/view
• 2. Scaling your product using ElasticSearch
• https://drive.google.com/file/d/1sY5Dh7PFD-2wFCdc8L7Q2qY3Wrd4o0Uw/view

Aug 2021 – Jun 2022 · 10 mos · Singapore · Hybrid

• Worked as part of PUDO team and contributed by:
• building Dp Management Service, a new micro-service to handle all PUDO point administration and management
• improving on-time parcel delivery success to PUDO points which led to an increase in the % from 52% to 95%
• integrating PMD, a static code analyser into CI/CD (self-managed Atlassian Bamboo)
• introducing and promoting usage of Redis over Hazelcast as the caching layer for frequently accessed DB entities
• coming up with tech design to address 7-11 Customer/Driver Collect Integration issues
• Was a tech lead for the Stations teams for a period of 8 months:
• designed the First Mile Pending Pickups performance widget feature

Jan 2022 – Jan 2023 · 1 yr · Remote

• Conducted over 100+ interviews for companies like Palantir, Coinbase, Deliveroo, Walmart as part of Karat

Jan 2021 – Aug 2021 · 7 mos

• Built platform service to download huge amount of tax compliance data (invoices, tax summary etc.) from Government platform. The service can download around million invoices with SLA upto 10 mins, with 5x improvement compared to old monolithic system, which improved overall customer satisfaction and SLAs for all segments (SMEs, large enterprises like PUMA, Tata AIG etc.)

Jul 2019 – Dec 2020 · 1 yr 5 mos

• Worked in the ClearGST Preparations and GSP Interactions team as a backend developer solving critical B2B product problems.
• Worked on building various GST tax compliance forms end-to-end from design to implementation supporting scale of more than 100K invoices.
• Got Spot award for delivering high priority Match G1 vs Sales project
• Did DB and application level optimizations to reduce errors and improve apdex and resiliency of the application

Feb 2019 – Jun 2019 · 4 mos · Bengaluru, Karnataka, India

• Worked as the backend developer developing cyber security and networking features for their product CTIX (SSL Certificate Analyzer, Notes and integration with CIAM) and also developed a Celery monitoring tool for company’s internal uses and also containerized the product using Docker . Related Domain - Cyber Threat Intelligence Exchange Technologies Used- Django, Django-Rest-Framework, Celery, Redis, MySQL, InfluxDB, Docker

Jan 2018 – May 2018 · 4 mos · New Delhi Area, India

• Was a teaching assistant in the Cognizance Machine learning course and assisted a batch of 150 students in domain of machine learning and deep learning