A hands-on creative computer programmer with excellent analytical, communication, writing, and artistic skills. Always excited to learn, create, and collaborate on projects.
Check out my projects on GitHub.
Building integrations and data pipelines for multiple data sources including Zendesk, Gsuite, SuiteCRM with relational databases
using Python and Airflow.
Responsible for identifying strong KPI's and building engaging dashboards on Grafana.
Driving enhancements in IT as part of the global software development team.
Responsible for creating custom audits for IT Master Data to ensure data integrity during migration of IT infrastructure to ServiceNow.
Also received the Gem of the Team Award for best overall performing intern during the period.
> Graduated with a CGPA of 8.67/10 from a renowned Indian institute.
> National level finalist in the largest hackathon in the world - Smart India Hackathon - 2019.
> Secured an all-India rank 24 in IICDC by working on a 3D holographic display for Texas Instruments.
Completed a set of 8 courses and corresponding challenges on Coursera
Completed the course and cleared the corresponding challenge
Recognised for best overall performance during my internship at Novartis Healthcare
Developed a fuzzy search tool that performed most efficiently among all teams in an internal hackathon at Novartis
Secured an all India rank 24 in semi-finals. Worked on a 3D-Hologram display technology, in a national-level hackathon, organised by Texas Instruments (TI).
Competed at national-level finals in the largest hackathon in the world - Smart India Hackathon. Worked on developing a startup e-marketplace.
Developed a website for Enactus, TIET in a college-level hackathon
A Tensorflow 2.2.0 implementation of a cycleGAN that converts images of humans into Pokemon and vice-versa. I scaled the dataset size from 1k to 10k images by using fan-made art in addition to the original images.
View on GitHubFirst-author of a research publication in collaboration with professors and medical practitioners to detect lung cancer in individuals. Developed a novel ensemble classifier to predict cancer and its type using feature combinations of XRCC1 gene polymorphism.
Will be published soonBuilt a web-app for low-light image enhancement, under the mentorship of professors from Trinity College, Dublin and TIET, Patiala. Developed a data -driven ensemble model for identifying the best possible enhancement technique to apply on a given image. Implemented multiple Image Quality Assessment (IQA) techniques to ensure high-quality results.
View on GitHubDeveloped a real-time mask (using MobileNetV2) and temperature detector, that uses video and thermal input. Built a user-friendly GUI, later integrated with hardware to deliver a standalone product.
Developed a Leave Management System on ServiceNow as a part of my internship at Novartis Healthcare.