Aryak Sengupta
NLP EngineerEngineering Manager | Amazon
Amazon
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Engineering Manager | Amazon
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Deep Learning enthusiast (at night). Interested in working in the field of medical imaging, text summarisation etc. SDE (day job) with an experience in AWS, Python, Golang, NodeJS, K8s, Bash etc. Spent some time working with PWAs as well.
Udacity
Deep Learning Nanodegree , Artificial Intelligence
January 1, 2019 – January 1, 2020
Udacity
Mobile Web Specialist Nanodegree - Progressive Web App, Computer Science
January 1, 2018 – January 1, 2018
Institute of Engineering and Management, Kolkata
Bachelor of Technology (B.Tech.), Information Technology
January 1, 2011 – January 1, 2015
Amazon
Software Development Engineer
December 1, 2020 – Present
Hyderabad, Telangana, India
Hyland
Developer 3
August 1, 2020 – December 1, 2020
Hyland
Software Engineering Professional (Dev 2)
November 1, 2017 – August 1, 2020
Hyland
Software Engineer Professional (Q2)
July 1, 2015 – October 1, 2017
Ericsson Global India Services
Summer Intern
June 1, 2014 – July 1, 2014
Tweet Extraction System
April 1, 2015 – Present
-- A real time tweet extraction system (named Tweet Extractor) which tracks and extracts live tweets from various popular domains like “Sports”, “Politics”, “Entertainment” etc. The Tweet Extractor application can also serve as a News Platform. -- Tweet Extractor is a NodeJS application built using the Twitter Streaming API, Socket.io, ExpressJS, Twit module and the Swig Template Engine.
React.js Essential Training
June 23, 2026 – Present
Deep Learning Nanodegree
Udacity
June 23, 2026 – Present
Mobile Web Specialist Nanodegree
Udacity
June 23, 2026 – Present
Google India Challenge Scholarship
Udacity
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's educational background includes specialized nanodegrees in Deep Learning and Mobile Web, showing a drive for continuous learning and adaptation. Their project experience, though limited in quantity, demonstrates initiative (Tweet Extraction System). The career progression from Software Engineer to SDE at Amazon, including work on a GenAI agent, suggests an alignment with innovative and challenging environments. However, the NLP-specific project experience is limited to the 'Intelligent Fleet GenAI agent' mention, and the personal project is more general real-time data processing than deep NLP.
Soft Skills & Operational Fit
The candidate's experience in DevOps, build/release automation, and security testing suggests a strong operational mindset and an ability to contribute to robust, maintainable systems. Their progression through roles at Hyland and current tenure at Amazon indicate stability and growth. The project descriptions are clear, suggesting good communication skills in a technical context.