Apr 2022 – Present · 4 yrs 2 mos · Seattle, Washington, United States

Jan 2020 – Present · 6 yrs 5 mos · Remote

• Upskilling undergraduate students in India to deliver day-1 productivity in industry. Students learn by doing, build portfolio and get placed through Omniversity.

Jun 2019 – Aug 2019 · 2 mos · Redmond, Washington, United States

• Developed MSBuild Language Service Tool Extension for Visual Studio IDE. Designed to be operated on .NET Core. Using Intelli-Sense and Auto-Complete to build the dynamic language service for developers using MSBuild project files.
• Worked on CD Notes Searchable Database project for the Hackathon.

May 2018 – Aug 2018 · 3 mos · San Francisco Bay Area

• Won the Visa Global Hackathon (site level). Competed against 350 teams. Unleashed the power of data by building Visa specific predictive bank ratings. The hack has a potential of saving $100+ million.
• Developed a spend classification tool using supervised machine learning techniques. Used Pandas and PySpark Python libraries to formulate a multi-class text classification technique to classify spend data, with a high confidence level. Deployed the code on Hadoop clusters and leveraged Tableau to visualize the data.

May 2017 – Aug 2017 · 3 mos · Sunnyvale, California

• Worked for Yahoo! Search team.
• Project 1: Sports New Tab Extension for Google Chrome
• Enhanced web development skills by developing a dynamic sports newtab extension for Google Chrome, featuring US sports leagues such as MLB, NHL, NBA and NFL. Extensively used JavaScript and plethora of Sports APIs to develop it.
• Learned industry level design process and strategies on how to amplify web traffic. Aimed at amplifying US traffic to Yahoo! Search and Sports.
• Project 2: Data Analytics and Management
• Worked with Apache Hadoop and Pig scripts to efficiently extract and arrange data from Benzene, one of the largest grids in the world. With the help of ‘Looker’, a UI for data visualization, was able successfully process and represent the data graphically, which thereby helps the program and marketing managers to better monitor the outreach and performance of their products worldwide.

Feb 2017 – May 2017 · 3 mos · Urbana-Champaign, Illinois Area

• Executed marketing campaigns weekly to spread the news about Microsoft products on the campus and provided technical feedback to the Surface team. Successfully created an optimistic environment among the students and professors for the Surface lineup.
• Invited by Microsoft to attend the Microsoft Keynote held on May 02, 2017 in New York City.

Jan 2017 – Dec 2017 · 11 mos · Urbana-Champaign, Illinois Area

• • Working collaboratively with graduate students and professors at Electrical and Computer Engineering (ECE) department, to conduct the labs, office hours and problem solving sessions for the course, ECE 110: Introduction to Electronics.

Oct 2016 – May 2017 · 7 mos · Urbana-Champaign, Illinois Area

• Maintained the computer architecture and the server systems across the engineering workstations and labs in the university.
• Operated directly with the supervisor and fixed the IT problems faced by professors and students in the university. Worked with the ticket system.

Sep 2016 – Dec 2016 · 3 mos · Urbana-Champaign, Illinois Area

• Collaborated in the development of passive language learning platform, which allows users to learn foreign languages accidentally while browsing the web.
• Coded extensively in JavaScript to develop the front-end of Google Chrome Application: FlipWord.

Jun 2016 – Aug 2016 · 2 mos · Stanford University, California

• Launched a project related to the prediction of health of large electrical appliances in households and low to medium segment hotel industries.
• Engineered the principles of Machine Learning and Internet of Things to formulate a data analysis and prediction algorithm, based on classification model and then tested it on 10 electrical appliances. Worked closely with professors in Stanford University.
• Enhanced the entrepreneur skills by focusing on pitching, problem centric innovation, design thinking, customer segments and building minimum viable products.
• Won the award for having ‘The Largest Pivot’ in the Stanford Sharks Competition.

Aug 2015 – May 2016 · 9 mos · State College, Pennsylvania Area

• Collaborated in the development of the payload subsystem of the rocket for the University Student Launch Initiative Competition 2016, hosted by NASA. Acquired 4th position in the national competition.
• Remodeled the image sensing algorithms and programmed the camera systems and sensors in Python.