About me
Computer programmer with a dynamic skill set in system development, cross-platform integration, and deep learning. Passionate about leveraging machine learning to drive innovation and efficiency across various domains.
Skilled in cross-functional collaboration and committed to continuous learning to remain at the forefront of the evolving AI landscape.
What I'm doing
-
Deep learning
Experienced in Deep Learning, specializing in Large Language Models (LLMs), Computer Vision, and Transformers using TensorFlow and PyTorch.
-
Python Developer
Core Python developer with multi-domain expertise in Platform, Native apps, Artificial Intelligence development.
Projects
-
Roadlyft
Roadlyft Rideshare Pvt. Ltd. is a venture project started with 3 folks. I'm serving as the core technology developer.
Home page ↗
Web-App ↗
-
Centralized Server
A centralised attendance management web application, where teaching faculty can take attendance and student can view their attendance in real-time.
Every user has its own pair of userId and password with access controls associated with it.
HOD controls includes the full access to the data, with the rights to create, update and delete the attendance data. Faculty controls include the rights to access and take attendance of the group which it belongs to. Student controls include the rights to view respective attendance and percentage of presence and absence to lectures and practicals.
Demo web-app ↗
Github ↗
Mini-Projects
-
Mediapipe 2D Game
A 2D simulation game where a helicopter's motion is controlled in real-time by tracking the tip of the index finger using the MediaPipe framework.
OpenCV-Python maps the tracked coordinates, handles obstacles, and manages collisions. Initially, the background is a live camera feed, transitioning to a cityscape image as difficulty increases. The helicopter's speed scales with the score, adding a progressive challenge.
High scores are stored in an XML file (data.xml) for persistence.
LinkedIn Post ↗
Github ↗
-
Certificate Generator
Application that can take a predefined certificate format and an Excel file with student names to automate the creation of certificates. This tool leverages the pandas, os, tkinter, threading, and pillow libraries to efficiently process and generate the certificates. The generator streamlines the certificate creation process, making it quick and easy to produce personalized certificates in bulk.
Github ↗
