Software Engineer

• Feb 2021 - Present

As a part of Data Applications team in project Baseline develop software platforms to support clinical research studies. As a part of Data Applications team in project Baseline develop software platforms to support clinical research studies.

Summer Analyst

• Jul 2020 - Aug 2020

Consumer and Investment Management Division • Teamed with 3 other summer analysts to build dashboard in Kibana to provide analytical capabilities on data • Developed micro service using Spring Boot framework and Spring Boot Data JPA which ran as a Cron job and gathered data from backend databases and services and ingested it in Elasticsearch clusters Consumer and Investment Management Division • Teamed with 3 other summer analysts to build dashboard in Kibana to provide analytical capabilities on data • Developed micro service using Spring Boot framework and Spring Boot Data JPA which ran as a Cron job and gathered data from backend databases and services and ingested it in Elasticsearch clusters

Grader - Algorithms and Analysis (CSCI 570)

• Aug 2019 - Dec 2019

Software Engineer

• Oct 2018 - Apr 2019

• Developed a real time face recognition system to take attendance for employees with an accuracy of 60% • Collaborated with Global Learning XPrize team to localize and improvise 5 winning interactive educational Android applications to achieve an average reading test improvement of 30-45% and an average math test improvement of 14-37% • Developed a real time face recognition system to take attendance for employees with an accuracy of 60% • Collaborated with Global Learning XPrize team to localize and improvise 5 winning interactive educational Android applications to achieve an average reading test improvement of 30-45% and an average math test improvement of 14-37%

Deep Learning Research Intern

• May 2018 - Jul 2018

• Worked under Prof. Pushpak Bhattacharyya at Centre for Indian Language Technologies lab to study Deep Learning based approaches for Natural Language Processing • Analyzed methods for generating word embedding by making use of antonyms and synonyms resulting in an increase in Spearman's coefficient by 4.3% and performed well for sentiment analysis task • Liaised with doctoral students to explore approaches for abstractive text summarization • Worked under Prof. Pushpak Bhattacharyya at Centre for Indian Language Technologies lab to study Deep Learning based approaches for Natural Language Processing • Analyzed methods for generating word embedding by making use of antonyms and synonyms resulting in an increase in Spearman's coefficient by 4.3% and performed well for sentiment analysis task • Liaised with doctoral students to explore approaches for abstractive text summarization

Intern

• May 2017 - Jul 2017

• Under the guidance of Prof. Deepak B. Phatak, coordinated with a team of five members to develop a framework where educational content consisting of text, graphics and equation can be animated, stored and retrieved • The project was a part of Ekshiksha with a purpose to bring books to life and make learning process interactive for more than 60 million learners • Under the guidance of Prof. Deepak B. Phatak, coordinated with a team of five members to develop a framework where educational content consisting of text, graphics and equation can be animated, stored and retrieved • The project was a part of Ekshiksha with a purpose to bring books to life and make learning process interactive for more than 60 million learners