Vaibhav Jain

Vaibhav Jain

Mentor
Rising Codementor
US$12.00
For every 15 mins
ABOUT ME
Tech lead @ Ninja Van
Tech lead @ Ninja Van

Engineer by day, student by night, mentor 24X7

I am a Senior Software Engineer II, currently working at Ninja Van in First Mile team (as a tech lead).

I have a primary interest in Software Design/architecture and database internals. My other interests include SRE, DevOps, Quantum Computing and Data Engineering.

In my free time, technically I like to mentor upcoming engineers, take interviews, attend meet-ups and read books/research papers.

I am also currently a CS Grad Student at Georgia Tech (OMSCS) pursuing specialisation in Computing Systems.

New Delhi (+05:30)
Joined October 2024
EXPERTISE
5 years experience
5 years experience
4 years experience
5 years experience
5 years experience
5 years experience
3 years experience

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EMPLOYMENTS
Senior Software Engineer II
Ninja Van
2021-08-01-Present
- Tech lead in First Mile team leading a team of 6 engineers (distributed across Singapore, India and Indonesia) and involved in the tech...
- 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
Java
MySQL
Redis
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Java
MySQL
Redis
Python 3
Google Cloud Platform
Apache Kafka
Kubernetes
Hazelcast
Go
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Software Engineer II
Clear
2019-06-01-2021-08-01
- Built platform service to download huge amount of tax compliance data (invoices, tax summary etc.) from Government platform. The servic...
- 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.) - 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
Java
MySQL
MongoDB
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Java
MySQL
MongoDB
Spring
Redis
Apache Kafka
Dropwizard
AWS
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