Jan 2021 – Mar 2023 · 2 yrs 2 mos · San Francisco Bay Area

• ▪ Driven Google and Github open source beta and stable Flutter releases in collaboration with TPMs, PMs, Senior Software engineers by reducing the latency on an average of 3 days from 12 days.
• ▪ Implemented tools and services to simplify releases and make them more deterministic and automated.
• ▪ Created a CLI tool that reduced the manual support by 50%.
• ▪ Designed and implemented automation of Flutter external releases using Docker containers and Github which allows engineers to release a new beta or stable release by a click of button reducing the manual effort from 1 week to 1 hour.
• ▪ Design and implement infrastructure to create verified and replicable software artifacts.
• ▪ Simplify and improve the tooling and services to build, test and release Flutter in the open source and internal google world.
• ▪ Scaling our infrastructure to handle a higher throughput of commits without getting backlogged.
• ▪ Maintaining the Flutter internal UI to make the cherry-pick process more user friendly and efficient during each of the releases.
• ▪ Implemented admin realms in the Google Spanner database for active data including unit tests, permission end to end tests and systests.
• ▪ Ranked first highest contributor under Engineering Excellence across Spanner organization of more than 5k people in Q1 2022.

Aug 2019 – Jan 2021 · 1 yr 5 mos · New York City Metropolitan Area

• ▪ Develop, improve and support Anomaly Cost Detection, a machine learning model for Commercial Platform reducing the error rate by 60% using AWS Native EC2, S3, DynamoDB, SQS, SNS, Cloudformation, ECS, Lambda, Load Balancers, Step Functions, Java, Python and Ruby.
• ▪ Designed and implemented a service that provides the functionality to measure the consistency and accuracy of the Detection engine, thus improving the system performance to be 60 % faster, 100% scalable and 25% more accurate.
• ▪ Used standard deviation, random cut forest, elliptic envelope and one class SVM algorithms to point out the root cause of the anomaly and estimated cost impact for the customer.
• ▪ Helped and co-ordinated with AWS Cost Explorer, to make the service’s region expansion and scalability providing 80% faster data availability and accessibility.
• ▪ Mentored 3 summer interns and onboarded 2 team members by providing guidance and needed resources in weekly meetings.

Jun 2018 – Aug 2018 · 2 mos · Roseland, New Jersey

• Automated and developed stable, efficient and optimized Global Data Protection environment that align with data backup and recovery using Commvault Hyperscale and Veritas NetBackup with Python/Jenkins on Dell EMC Data Domain.
• Designed and implemented a hyper-converged backup solution, AWS Cloud Protection solution and Dell Isilon backup solution.

Jan 2018 – May 2019 · 1 yr 4 mos · Greater New York City Area

• Teaching the basics of computer and web development to a class of 50 undergraduate students,including HTML,CSS and Javascript.

Jun 2015 – May 2017 · 1 yr 11 mos · Pune Area, India

• Selected among top 4 candidates to work with Google’s open source Docker Monitoring Tool- ‘cAdvisor’ and develop a new Docker Monitoring Tool as my final year project for Calsoft Inc.
• Instrumental in design and implementation of the project, using Python-flask and MySql database.
• Identified improvements and suggested enhancements throughout the project like using python client API library of docker instead of pseudo files (cgroups) of docker in linux. This resulted in reduction of time lag in the system.
• Designed architecture and unified modelling language diagrams of the project.
• During evaluation, project secured 2nd position among 11 projects and was shortlisted for Calsoft White Paper Publication.

Mar 2015 – Feb 2016 · 11 mos · Pune Area, India

• Winner of Student Championship 2015 conducted by Avaya India Pvt. Ltd, which resulted in working with top professionals of Avaya India Pvt Ltd,Pune to further the student outreach programme of Avaya.
• Procured hands-on knowledge on plethora of technologies like Voice over Internet Protocol.

Jul 2014 – Jul 2015 · 1 yr · Pune, Maharashtra, India

• Developed Methodological Algorithm for Proposed open source end to end solution for analyzing large technical support datasets using Hadoop under the guidance of Dr. Priya Deshpande.
• The base paper for the research was - “KASR:A Keyword-Aware Service Recommendation Method on Mapreduce for Big Data Applications” by Shunmei Meng, Wanchun Dou, Xuyun Zhang, and Jinjun Chen, Senior Member, IEEE.
• Researched on TiQi: Answering Unstructured Natural Language Trace Queries.

Aug 2012 – Jul 2014 · 1 yr 11 mos · Pune, Maharashtra, India

• Extensively worked on autonomous machines with features of locomotion and actuation using sensor feedback systems like encoders, line sensors, tactical sensors and gyroscope.
• Designed and implemented various sensors and interfacing circuits along with programming ATMEGA 1280 and 2560 micro-controllers and Arduino boards.
• Secured 6th and 14th place nationally amongst 80+ participating colleges.