Aug 2023 – Mar 2025 · 1 yr 7 mos

• Led first mile engineering team, transport engineering team and contributed to core logistics platform team (Chanakya) with 30,000 qps of scale during BAU. Built and powered transport platform and platform service for container management. Built workflow orchestration platform for logistics. Panelist at SDE 3, SDE 2 and SDE 1 interviews. Was responsible for key architectural decisions, guiding the tech of the team, improving SDLC, reducing KTLO. Was responsible for running sprint planning, daily standups, backlog grooming.

Feb 2021 – Aug 2023 · 2 yrs 6 mos

• Developing and designing large scale, robust, distributed applications to power India’s largest transport network and supply chain constructs. Panelist at interviews for SDE2 and SDE1s. Mentoring teammates.

Jun 2019 – Feb 2021 · 1 yr 8 mos

• Developed large scale, robust, distributed applications.

Jul 2018 – Jun 2019 · 11 mos · Bengaluru, Karnataka, India

• Worked with applications based on Spring, Spring Boot, Angular, Backbone, SharePoint along with their CICD on cloud (AWS) and in house servers etc. with the managed accounts portfolios in an Agile environment.
• Worked with a team of 13 individuals, interacting with globally located teams, working on end to end development of applications.
• Technologies used: Java, Spring, Springboot, Maven, Eclipse, Splunk, Veracode, Udeploy, Jenkins, AWS, Angular, Tomcat, BackboneJS, Oracle database, SharePoint, html, CSS, Git, etc.

May 2017 – Jul 2017 · 2 mos · Gurgaon, India

• Project 1:
• Description: Web Crawling for Interdomain Pricing. Wrote multithreaded scripts and built a log-file based system for debugging, built a module heuristically for analysing performance.
• Technologies used:
• Python (urllib2, urllib, BeautifulSoup, cPickle, threading, requests, re, mysql-connectors, json, selenium), MySQL, Web Crawling, Multithreading, HTTP GET and POST.
• Project 2:
• Description: Search and return closest match to a product (make, model, year, trim/variant) entered by user from OrangeBookValue Database to an API call with python scripts running at the backend. If there is not a positive match, creates a new tuple in a temporary table.
• Technologies Used:
• Python(fuzzywuzzy, re), Ratcliffe-Obershelp Fuzzy String Matching, CGI