# Sai Sankar Gochhayat

> Software Engineer at Microsoft

Location: United States, United States
Profile: https://flows.cv/saisankargochhayat

Experienced Developer with a demonstrated history of working in Software Development and Machine Learning applications. Skilled in Python, NoSQL, Javascript, Node.js, and Java. Keen on working on challenging problems leveraging application of Artificial Intelligence in real-world problems.

## Work Experience
### Senior Software Engineer @ Microsoft
Jan 2025 – Present | United States

### Software Engineer 2 @ Microsoft
Jan 2021 – Present | Vancouver, British Columbia, Canada
Working on Azure-Arc

### Graduate Teaching Assistant @ Northeastern University
Jan 2021 – Jan 2021 | Boston, Massachusetts, United States
Acting as a TA for the course CS 4500 Software Development.
Responsible for teaching, conducting discussion sessions, addressing questions, designing exams and grading.

### Software Engineer Co-op @ Red Hat
Jan 2020 – Jan 2020 | Boston, Massachusetts, United States
Working at the Office of CTO on all things Thoth Station. 
https://thoth-station.ninja/

### Student Mentor at AOSSIE @ AOSSIE
Jan 2018 – Jan 2020 | Australian Capital Territory, Australia
Mentoring the GSoC 2018 students developing the CarbonFootprint API. 
Working on NodeJS, React, ExpressJS, MongoDB

### Graduate Teaching Assistant @ Northeastern University
Jan 2019 – Jan 2019 | Greater Boston Area
Acting as a TA for the course CS 4500 Software Development. 
Responsible for teaching, conducting discussion sessions, addressing questions, designing exams and grading.

### Graduate Research Assistant @ Northeastern University
Jan 2019 – Jan 2019 | Greater Boston Area
Working as a Javascript Programmer on a tool called Signaligner, which is a web-based utility for annotating multi-day raw accelerometer data for activity recognition.
Developed backend scripts and data visualization for automating tasks required for the study. 
Developed an application based on NodeJS with a firebase database to help visualize Micro EMA prompts collected by a team of researchers at USC, California.

### Product Development Intern @ NowFloats
Jan 2018 – Jan 2018 | Hyderabad Area, India
Worked as a backend developer, working on multiple projects based on NodeJS and Python.
Implemented logistic integration in AssuredPurchase which is an app facilitating small businesses to sell online. Created a helper library for API integration of Shyplite as a logistics partner.
Created API channels for fetching Google My Business reviews and facilitating replies, for a social aggregation tool for businesses.

### Google Code-In 2017 Mentor for ScoreLab @ AOSSIE
Jan 2017 – Jan 2018 | India
Mentor for the project Bassa under Scorelab.

### Google Summer of Code Intern 2017 for AOSSIE @ AOSSIE
Jan 2017 – Jan 2017 | Remote
Developed the CarbonFootprint API project for the Australian Open Source organization (AOSSIE).
Leveraged modern web development tools like NodeJS, MongoDB and React to complete the project from
scratch in three months, including major emission data points.
The project involved vivid visualizations using D3.Js and provides free limited access to the API to the users.
Find it here at - https://gitlab.com/aossie/CarbonFootprint-API

### Freelance Web Developer @ WinterfellWS
Jan 2015 – Jan 2017 | Bhubaneshwar Area, India
• Incubated under CET, Bhubaneswar. Generated revenue of 4000USD over 1.5 years. Helped startups and small businesses around Odisha to grow and adapt to technological advancements.
• Implemented back-end functionality and continuous deployment for web applications of clients.

### Research Intern @ IIT Bhubaneswar
Jan 2016 – Jan 2017 | Bhubaneshwar Area, India
• Worked under the supervision of Dr. D. P. Dogra to develop an efficient Sign Language Recognition and Training (SLRT) system to facilitate learning, training, and testing of basic gestures of Indian Sign Language for the differently-abled individuals.
• Granted 1000 USD under the guidelines Technical Education Quality Improvement Programme II (TEQIP), A Unit of MHRD, Govt of India for Implementation of World Bank Assisted Projects in Technical Education.
• A differential feature selection technique and hierarchical classification model was proposed by the work which gave optimum accuracies for the single-handed communications.
• Comparison and performance analysis of different supervised classification algorithms like SVM, KNN, SGD etc and techniques to improve them was proposed.

### Intern @ AcesoCloud Inc.
Jan 2015 – Jan 2015 | Bhubaneshwar Area, India
• Worked on sepsis financial and clinical data.
• Created data visualizations using D3.js that helps hospitals extract valuable insights regarding sepsis patients.


## Education
### Master's degree in Computer Science
Northeastern University
Jan 2019 – Jan 2020

### Btech in Computer Science and Engineering
Odisha University of Technology and Research
Jan 2014 – Jan 2018

### 12th Board CBSE in Science
Mothers Public School , Bhubaneswar
Jan 2012 – Jan 2014


## Contact & Social
- LinkedIn: https://linkedin.com/in/saisankargochhayat
- Website: https://scholar.google.co.in/citations?user=CEUXsXMAAAAJ&hl=en

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Source: https://flows.cv/saisankargochhayat
JSON Resume: https://flows.cv/saisankargochhayat/resume.json
Last updated: 2026-03-22