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Software Engineer at Meta
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
SDE at Amazon Advertising (June 2018 - Present) Graduate Student in Computer Science at Indiana University, Bloomington (Class of 2018) SDE Intern at Amazon Business, Seattle (May 2017 - Aug 2017) Former Systems Engineer at Tata Consultancy Services Limited, Pune, India (Dec 2013 - Apr 2016)
Indiana University Bloomington
Master’s Degree, Computer Science
January 1, 2016 – January 1, 2018
Free Code Camp
Computer Software Engineering
January 1, 2015 – January 1, 2015
College Of Technology, G.B.P.U.A&T, Pantnagar
Bachelor’s Degree, Computer Engineering
January 1, 2009 – January 1, 2013
Meta
Software Engineer
January 1, 2024 – Present
New York City Metropolitan Area
Amazon
Senior Software Development Engineer
April 1, 2023 – January 1, 2024
Amazon
Software Development Engineer II
July 1, 2020 – April 1, 2023
Amazon
Software Development Engineer
June 1, 2018 – July 1, 2020
Indiana University Bloomington
Associate Instructor (CSCI-B657, Computer Vision)
January 1, 2018 – May 1, 2018
Bloomington, Indiana Area
Indiana University Bloomington
Associate Instructor (CSCI-B551, Elements of Artificial Intelligence)
August 1, 2017 – December 1, 2017
Bloomington, Indiana Area
Amazon
Software Development Engineer Intern
May 1, 2017 – August 1, 2017
Greater Seattle Area
Indiana University Bloomington
Metadata Content Assistant at IU library
February 1, 2017 – April 1, 2017
Bloomington, Indiana Area
Tata Consultancy Services
System Engineer
March 1, 2014 – April 1, 2016
Pune Area, India
HP (Hewlett-Packard)
Summer Intern
June 1, 2011 – July 1, 2011
Dehradun, Uttarakhand(India)
Neural network for image classification.
December 1, 2016 – Present
Implemented a fully-connected feed-forward network with backpropagation algorithm to classify image orientation.
POS tagger.
November 1, 2016 – Present
Implemented a POS tagger using AI techniques to tag parts of speech in a sentence.
Spam classifier.
November 1, 2016 – Present
Built a spam classifier using Naive Bayes and Decision tree model with binary features (occurrence of word) and continuous features (frequency of word).
Topic classifier
November 1, 2016 – Present
Implemented supervised and unsupervised learning techniques on a Bayes Net model of corpus with topic, document and words in the document as random variables.
Tetris AI
October 1, 2016 – Present
Implemented game playing AI for Tetris in Python.
Fifteen puzzle.
September 1, 2016 – Present
Developed optimal and fast algorithm in python to solve fifteen puzzle using A* search.
Medical Image Segmentation
May 1, 2013 – Present
Detecting presence of a tumour or any anomaly, from a set of brain MRIs, by performing Image Segmentation. 'Watershed Segementation' and 'Fuzzy C means clustering' are the two segmentation techniques explored.
Online Banking
June 1, 2011 – July 1, 2011
Developed a web application for an online banking portal using Struts framework, Jstl and JavaScript.
Shaping up with Angular.js
Code School
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong academic background and significant experience at large tech companies (Amazon, Meta). Their personal projects are heavily focused on AI/ML, which, while demonstrating strong analytical skills, might indicate a primary interest outside of pure frontend development. The target role is 'Frontend Developer', but the majority of their recent professional experience and personal projects lean towards backend/AI/ML. The 'Online Banking' project and Amazon internship show some frontend exposure (JSP, jQuery), but modern frontend frameworks are not explicitly listed in recent experience. This suggests a potential mismatch in primary interest and recent hands-on experience with modern frontend stacks.
Soft Skills & Operational Fit
The candidate's experience as an Associate Instructor suggests strong communication and mentoring skills. Their progression through SDE roles at Amazon indicates a capacity for growth and handling increasing responsibilities. However, without psychometric test results, a full assessment of work attitude, stress handling, and team collaboration is not possible.