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AI Researcher | Group Applied Science Lead at Microsoft | Investor
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The University of Chicago Booth School of Business
Master of Business Administration - MBA
January 1, 2020 – January 1, 2023
Penn State University
Master of Science, Electrical Engineering
January 1, 2013 – January 1, 2015
Indian Institute of Technology, Indore
Bachelor of Technology, Electrical Engineering
January 1, 2009 – January 1, 2013
Microsoft
Group Applied Sciences and Engineering Leader
August 1, 2025 – Present
Microsoft
Principal Development and Applied Sciences Lead
July 1, 2023 – December 1, 2025
Microsoft for Startups
Advisor and Investor
February 1, 2023 – Present
On-site
Microsoft
Principal AI/ML Software Engineer
September 1, 2021 – September 1, 2023
Microsoft
Senior Software Engineer
July 1, 2019 – September 1, 2021
Microsoft
Software Engineer, Machine Learning
January 1, 2017 – July 1, 2019
Cisco Systems
Data Scientist, IoT Verticals
May 1, 2015 – January 1, 2017
Austin, Texas Metropolitan Area
Penn State University
Graduate Research Assistant
May 1, 2013 – May 1, 2015
State College, Pennsylvania Area
EconoSci
February 1, 2016 – Present
EconoSci is an portfolio recommendation engine which aims to maximize an investors profit and minimize an investors risk. It is primarily based out of Machine Learning algorithms on core time series forecasting methods. Please look at my introduction video to learn more. https://www.youtube.com/embed/spr39SFyLMA
Networking Calendar
February 1, 2014 – Present
Exploring the possibilities of Cloud PaaS for the Cisco Innovation challenge. An online software to integrate all the calendars nearby and present it in a visually appealing way. An attempt for better integration of calendar and location based services. Developed using Google appengine, Python, HTML, CSS, Javascript and APIs from Google maps and calendar.
PLD Controller Based Speed Motor Control
September 1, 2012 – Present
Direct current (DC) motor has already become an important drive configuration for many applications across a wide range of powers and speeds. The ease of control and excellent performance of the DC motors will ensure that the number of applications using them will continue grow for the foreseeable future. This project is mainly concerned on DC motor speed control system by using NI Elvis, Lab-View & a Hall Effect Sensor. It is a closed-loop real time control system but a sluggish system. The sensor (used in this project) is coupled to the motor shaft to provide the feedback speed signal to controller. Proportional plus Integral Controller is used to acquire it. The Output signal of PI is sent to motor driver through a comparator to vary the voltage supply to motor to maintain a constant speed. A numeric control in lab-View is developed to provide a graphic user interface (GUI) for the user to enter desired speed at computer. Besides, it also shows a graph of motor speed versus time to let the user monitor the performance of the system easily. Based on the result, the reading of Hall-Effect Sensor built is quite reliable. Through the project, it can be concluded that a PI controller with a comparator can control motor speed at desired speed although there is a variation of load.
Vehicle License Plate Recognition System
August 1, 2012 – May 1, 2013
Complete design of an Automatic Vehicle License Plate Recognition System for security and monitoring purposes. From the captured image of a car the system should be able to extract the no. of the license plate in the whole image of the car.
Infrared direction sensor
June 1, 2011 – Present
Infrared position detectors sense the position of an object and use this information as a feedback to move themselves in a same direction. There are wide applications in industrial robotics which use the principle to detect an exact position. The URL describes a prototype in 2 dimensional plane. With an extension to more degrees of freedom It can have very wide applications in Robotics
Research Fellow
The Data Incubator
June 24, 2026 – Present
Apache Spark for Data Analytics
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from web development to embedded systems and machine learning, indicates a broad interest and adaptability. Their progression through various roles at Microsoft, including leadership positions, suggests an ability to thrive in large, complex organizations. The 'Advisor and Investor' role at Microsoft for Startups also points to an entrepreneurial mindset and interest in innovation. However, the target role of 'Data Analyst' might be a step down from their current leadership responsibilities, potentially indicating a mismatch in career trajectory or expectations. The projects are mostly personal and academic, which is good for demonstrating initiative, but their direct relevance to a typical corporate data analyst role beyond the technical skills is not explicitly detailed.
Soft Skills & Operational Fit
The candidate's career progression at Microsoft from Software Engineer to Group Applied Sciences and Engineering Leader suggests strong leadership, project management, and team collaboration skills. The MBA further indicates strategic thinking and business understanding. The project descriptions, while brief, show initiative and problem-solving capabilities. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is limited.