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Senior Software Development Engineer, Amazon Neptune
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Post Graduate from University of Waterloo with an expertise in Natural Language Processing, Machine Learning and Distributed Systems.
University of Waterloo
Master of Mathematics (MMath), Computer Science
January 1, 2017 – January 1, 2019
Vivekanand Education Society's Institute Of Technology
Bachelor of Engineering (B.E.), Computer Engineering
January 1, 2012 – January 1, 2016
Amazon Web Services (AWS)
Senior Software Engineer
September 1, 2024 – Present
Amazon Web Services (AWS)
Senior Software Engineer
July 1, 2024 – September 1, 2024
Amazon Web Services (AWS)
Software Development Engineer II
October 1, 2021 – July 1, 2024
Amazon
Software Development Engineer II, Machine Learning
March 1, 2021 – September 1, 2021
Vancouver, British Columbia, Canada
Amazon
Software Development Engineer I, Machine Learning
October 1, 2019 – March 1, 2021
Vancouver, British Columbia, Canada
Thomson Reuters
Data Scientist Intern (Part time)
February 1, 2019 – May 1, 2019
Kitchener, Canada Area
Quadrical.ai
Machine Learning Intern (Part time)
November 1, 2018 – December 1, 2018
Kitchener, Canada Area
University of Waterloo
Graduate Teaching Assistant
September 1, 2017 – January 1, 2019
Kitchener, Canada Area
University of Waterloo
Graduate Research Assistant - ML and NLP
September 1, 2017 – August 1, 2019
Kitchener, Canada Area
News Corp
Data Science Analyst
July 1, 2016 – June 1, 2017
Mumbai Area, India
BigDecisions.com
Data Science Intern
August 1, 2015 – February 1, 2016
Indian Oil Corporation Limited
Software Engineering Intern
June 1, 2014 – July 1, 2014
Mumbai
Stupidsid
PHP Developer Intern
December 1, 2013 – January 1, 2014
Mumbai Area, India
English to SQL Machine Translation (Phrase Based Machine Translation)
November 1, 2014 – April 1, 2015
Used MOSES to create a static English to SQL Translation System.
All Round Student Evaluation System (Prediction and Recommendation Engine)
November 1, 2013 – February 1, 2014
Created a system for detecting All round students who excel in many different areas.It also recommends areas to improve if you need to qualify as an All rounder
Cultural Fit Analysis
The candidate has a diverse background spanning software engineering, machine learning, and data science across various companies including large tech (Amazon/AWS) and startups. This breadth of experience suggests adaptability. The personal projects, though briefly described, indicate initiative and problem-solving interest. The transition from Software Development Engineer to a Data Analyst role would require assessing their motivation and specific interest in data analysis methodologies over pure software development.
Soft Skills & Operational Fit
The candidate's experience as a Graduate Teaching Assistant and Research Assistant suggests potential for collaboration and knowledge sharing. However, without psychometric test results or interview data, specific soft skills and operational fit cannot be fully assessed.