Hello, I'm

Explore a portfolio rich with projects in Mobile Development, Data Analytics, Data Engineering and Machine Learning.

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Projects

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Years

About Me

I am Computer Scientist student from University at Buffalo. I am passionate about building softwares that solves real world problems. I have worked on variety of projects in the past that involve Artifial intelligence, iOS development, Data engineering, Web develpment and Machine Learning. I am currently working on LLM Project to make it easier for freelancers and customers to find each others.

  • Programming Languages: Python, Java, C/C++, Scala, Go
  • AI: Pytorch, TensorFlow, Pandas, Matplotlib, Tableau, PowerBI
  • Data Management: Snowflake, SQL, Spark, Haadop
  • Hardware: Arduino, AC Controls, Assembly MIPS, Verilog
  • Cloud: AWS, Google Cloud, Firebase

My Projects

  • iOS App - Social Media

    Flikor, is an app to make it easy for students to find roommates.

  • Rienforcement Learing Agent Play Tic Tac Toe

    I used Deep Q-LEARNING to create an agent that can play tic tac toe.

  • Soccer Player Position Prediction

    This project is about predicting players positions in soccer matches based on their previous performance.

  • Food Ordering Web Application

    Build a food delivery web application, enabling users to browse restaurants, place orders, and track deliveries in real-time.

  • NS-3 Simulator

    - The project involves experimenting with the NS-3 Simulator on Linux Ubuntu, completing a total of four tasks. - Implemented and reviewed networking concepts such as routing, congestion control, delays, and network Quality of Service (QoS) parameters.

  • Handwriting Recognition

    Handwritten Digits Classification Handwritten Digits Classification Jul 2022 - Aug 2022Jul 2022 - Aug 2022 Associated with University at Buffalo Associated with University at Buffalo • Built a neural network using python and no usage of external libraries, model accuracy on the MNIST Dataset was 82.4%. • Deployed a deep neural network model using TensorFlow and Python for classifying the MNIST dataset following AlexNet Architecture. The model was successfully getting an accuracy of 98.2% on the test set.

  • TCP/UDP Text Chat

    Built text chat application using TCP and UDP protocols.

  • Conway's Game of Life Simulation

    Created a simulation of Conway's Game of Life, a cellular automaton that models the evolution of cells in a 2D grid based on a set of rules.

  • Face Detection - Image Processing

    Performed Face Detection using OpenCV and Python; used multiple facial detection algorithms like Haar Cascade, Deep Neural Network, and HOG. The F1 score of each algorithm was calculated by using the result JSON file to select the best algorithm.

Let's Connect

I'm currently looking for new opportunities, my inbox is always open. Whether you have a question or just want to say hi, I'll try my best to get back to you!

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