Software Engineer
Microsoft, Redmond, WA
Sept 2022 - present
Team/Org : Azure Front Door
"We're here to put a dent in the Universe!!" - Steve Jobs
My goal is to become a successful Data scientist by arriving at methodologies to help in understanding a given domain by mathematically modelling and implementing the same through software solutions using Machine learning methods.
I wish to understand and implement these Artificial intelligence techniques in advanced Medical & Space research so that, one day, we can go where 'no man has gone before'.
I am also a Full Stack Developer, skilled in Object oriented programming (Python, Java, C/C++) as well as Database management & Web development.
Jan 2021 - Aug 2022
Master's in Computer Science, specialising in Artificial Intelligence & Database Systems
3.7/4.0 GPA
Aug 2014 - Jun 2018
Bachelor's in Computer Science & Engineering
8.0/10.0 GPA
Python, C, C++, PowerShell, Java, C# , JavaScript, OpenGL, Objective-C.
Python Frameworks- TensorFlow, PyTorch, OpenAI, Weka, scikit-learn
HTML5, CSS, JavaScript , Bootstrap, PHP, Flask, React, Laravel, React-Native, NodeJs
AWS, Azure
SQL, MySQL, Firebase, MongoDB
Android studio, Visual studio, IIS, Jenkins, MATLAB, Xcode
Word, Powerpoint, Excel, Visio
Microsoft, Redmond, WA
Sept 2022 - present
Team/Org : Azure Front Door
CSE dept, University of Texas at Arlington
Jan 2022 - June 2022
Teaching assistant for Software Engineering II - Management, Maintenance & Quality assurance (CSE 5325) at UTA.
Duties: Conducting class, grading exams, having office hours to guide students on their projects, arranging for Guest lectures for students by external faculties.
CSE dept, University of Texas at Arlington
Aug 2021 - Dec 2021
Teaching assistant for Algorithms and Data structures course (CSE 3318) at UTA.
Duties: Conducting lab sessions, conducting exam reviews sessions, grading & proctoring exams, guiding students on their final projects.
Office of Information Technology, University of Texas at Arlington
May 2021- Aug 2021
Duties: Re-imaging devices, debugging any software/hardware related issues with all devices under UTA domain.
Worked as a Technical consultant with UTA staff to build a core component of the solution in Python to interpret Service Now data and pull it
in a desired format which is imported into the UTA database.
Accenture Services Pvt. Ltd., India
Aug 2018 - May 2020
Project: Presto Device Software, Fare Management System
Client: Metrolinx, Canada
Achievements: Developed an automation tool to deploy application components on various internal servers. Integrated complete CD-CI
pipeline for deployment using Jenkins. Reduced manual work from hours to seconds.
Awards: Awarded ‘Emerging Star’ during the first year of tenure in the project.
Click to view certificate
The Old Dominion University, Norfolk, VA
Jul 2017 – Aug 2017
Studied Alzheimer’s and Dementia patients to help reduce patient on patient violence. Developed an Android app to notify the nurse for a
changing sensor value from the android gear, worn by the patient
Achieved ~ 90% accuracy
Awards: Awarded ‘Most Outstanding Intern ’ for demonstrating the best working prototype of the solution and also for exceptional technical,
presentation & communication skills.
Click to view certificate
Stock Market Analysis & Prediction using Machine Learning
B.N.M Institute of Technology, Bangalore, India
Designed an ML model that predicts changing stock price of a company based on its historical prices over a period of five years,
given the respective news articles post-closing time of the previous day and other globalisation factors. Employed Machine learning and Deep learning algorithms such as SVM, MLP to understand and predict the stock prices. Achieved ~ 80% accuracy.
CIFAR-10 image classifier using Convolutional Neural networks
University of Texas at Arlington
Built a Neural network model with multiple convolutional layers (CNN), cross-entropy function and SGC optimiser. Improved the performance by increasing
number of layers and epochs. Accuracy ~ 65%
Naïve Bayesian learning for classifying news text articles
University of Texas at Arlington
Built a Naive Bayesian model that processes large amounts of news articles and classifies them into different classes. Accuracy ~ 87%
Aggression Detection in Alzheimer’s & Dementia patients
The Old Dominion University, Norfolk, VA
Designed an Android application for Alzheimer’s and Dementia patients, to reduce
patient on patient violence. Employed Android Studio (Java) application along with real-time data manager - Firebase to pick up gyroscopic values from the android gear worn by the patient
and notify the nearest nurse if there is an anomaly in the recorded values with respect to their thresholds. Successfully notified the nurse to monitor increasing aggression values. Accuracy ~ 90%
Search engine using Azure Cloud services
University of Texas at Arlington
A Flask application that searches based on words or word combinations to find relevant documents that are on Azure cloud. The search result
identifies a document by name and where in that document that is found (such as line or offset). The application also processes the data for
punctuations, stop words and gives a very optimal search result. Achieved efficient search time complexity.
Presto Device software, Fare management system - Metrolinx
Accenture Services Pvt. Ltd., Bangalore, India
Roles:
1) Technical Architect - development & deployment of the software updates, for the Presto devices i,e, PRESTO CARDS which were
RFID cards that were used as part of the fare management system in the Metrolinx vehicles.
2) Release Manager & DevOps Engineer – implementing and handling the complete CI-CD integration of creating builds and the deployment
of these builds on the respective devices using Jenkins.
Outreach lead for the Google Developer Student Club Core Team at The University of Texas at Arlington.
Social Media Manager for the Indian Mavericks Society at The University of Texas at Arlington.