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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Interests: Machine Learning, Deep Learning, Distributed Systems, Data Warehouse, Large Scale Systems
Columbia University
Master’s Degree, Data Science
January 1, 2016 – January 1, 2017
People's Education Society Institute of Technology
Bachelor’s Degree, Computer Science
January 1, 2012 – January 1, 2016
Rosary High School
High School, Science
January 1, 1998 – January 1, 2012
Principal Staff Software Engineer, Machine Learning
July 1, 2025 – Present
Sr Staff Software Engineer, Machine Learning
July 1, 2023 – July 1, 2025
ML Engineer | Tech Lead
April 1, 2021 – May 1, 2023
Machine Learning Engineer
September 1, 2019 – April 1, 2021
Trifacta
Machine Learning Engineer
January 1, 2018 – September 1, 2019
San Francisco Bay Area
IBM
Data Science Research Intern (IBM Social Good Fellow)
September 1, 2017 – December 1, 2017
IBM TJ Watson Research Center, Yorktown Heights, NY
Trifacta
Software Engineer Intern, Machine Learning
May 1, 2017 – August 1, 2017
San Francisco Bay Area
Carnegie Mellon University
Summer Research Intern
May 1, 2015 – August 1, 2015
Pittsburgh, PA
Google Summer of Code
February 1, 2014 – November 1, 2014
Visualizing the Emotion Flow in Video on a Timeline by Predicting Emotions in Subtitles
August 1, 2016 – December 1, 2016
NLP Course Project Advisor: Prof. Smara Muresan Teammates: Siddharth Varia, Keerti Agrawal, Nitesh Surtani Utilized a supervised machine learning approach to classify emotions in each instance of the subtitle of the movie thereby creating a emotion flow visualiazation for movies.
Stringing subtitles and storyboards in sign language
December 1, 2015 – Present
Final Year Project, Advisor: Dr. Gowri Srinivasa, PESIT, South Campus and Dr. Kavi Mahesh, Dean of Research, PES University. Teammate: Rituparna J. Project for a school run by “Mathru Educational Trust for the differently abled”. This project aims to build an user-friendly tool to help students with hearing disability, perceive information from videos by translating into its sign language equivalent, with a picture in picture output. This tool would also help new teachers get acquainted with sign language being used at the school, since there is no particular standard followed in India.
Distributed Documents Clustering
August 1, 2015 – December 1, 2015
Advisor: Dr. Kavi Mahesh, Dean of Research, PES University. Teammate: Dhvanan Shah As part of this project, we built a scalable machine learning solution that leverages a distributed architecture to cluster large number of documents more efficiently. Key study was to determine the format of data packet to be shared among the computing nodes in order to develop an aggregate understanding after each iteration.
A Python based framework for peer-to-peer distributed computing
May 1, 2015 – August 1, 2015
Summer Internship at CMU under the guidance of Prof. Soummya Kar.
Project Repository Management Tool
January 1, 2015 – May 1, 2015
Mentored by Prof. H L Phalachandra, Software Engineering Course Teammates: Gautham S, Arjun M To develop a project repository management tool enabling smooth communication between the project guide and project team member along with central maintenance of code-base and project discussion details. The project utilised Python Django framework along side PostgreSql.
Tahrir Project
March 1, 2014 – October 1, 2014
Open Source Project under "Freenet Project Inc." Organisation during Google Summer of Code 2014.
Wireless Networking- Microsoft Research Summer School
Microsoft
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in Machine Learning and Data Science, which aligns well with data-driven organizations. Their experience spans large tech companies and research institutions, indicating adaptability to different work environments. The diversity of projects, from NLP to distributed systems and social good initiatives, suggests a broad interest and ability to contribute to various aspects of a data team. The target role is 'Data Analyst', while the candidate's experience is heavily skewed towards 'Machine Learning Engineer' and 'Data Science Research'. This might indicate an overqualification or a mismatch in the specific day-to-day responsibilities, potentially impacting cultural fit if the candidate is seeking a more hands-on ML/DS role rather than pure analysis.
Soft Skills & Operational Fit
The candidate's project descriptions indicate experience in team-based projects and leadership roles (Tech Lead at Twitter), suggesting good collaboration and operational fit. The involvement in open-source (Google Summer of Code, Freenet Project Inc.) also points to a proactive and community-oriented mindset. However, without specific psychometric test results, a detailed assessment of stress handling or work attitude is not possible.