About Myself

I'm a graduate student at Syracuse University, majoring in Computer Science. My areas of interest include Full-Stack development (MERN Stack), machine learning algorithms, mobile application development. With a detail oriented-focus, I enjoy creating simple but effective solutions to improve application performance, ease of maintenance, and user experience. I am a quick learner and always strive to stay up-to-date with the latest advancements in the field. I have certifications in Python and Java programming, and I am proficient in datasets and machine learning algorithms. I am a strong believer in collaboration and enjoy working in diverse teams. Driven by curiosity and a desire to make a positive impact, I am eager to leverage my skills and contribute to innovative projects.
java-icon

Java

html-5-icon

Python

js-icon

JavaScript

bootstrap-icon

Bootstrap

jquery-icon

Angular

mysql-icon

MySQL

php-icon

PHP

flutter-icon

Flutter SDK

C-icon

Spring Boot

mongodb-icon

Mongo DB

express-icon

Express.js

react-icon

React.js

nodejs-icon

Node.js

git-icon

Git/Github

git-icon

Tableau

git-icon

Power BI

My Journey

syr-logo

Syracuse University

Master of Science in Computer & Information Sciences

Aug 2022 - May 2024

GPA: 3.8/4.0

Courses: Computer Architecture, Object Oriented Design, Principles of Operating Systems, Artificial Intelligence, Design & Analysis of Algorithms, Social Media & Data Mining, Machine Learning, Assured Programming & Formal Methods, Natural Language Processing, Database Management Systems.

Bachelor's of Engineering in Information Technologies

June 2017 - Aug 2021

GPA: 8.78/10

Courses: Data Structures and Algorithms, Object Oriented Programming, Internet Programming, Data Mining & Business Intelligence, Mobile Application Development, Automata Theory, Python Programming, Java Programming, Introduction to Database, Software Engineering with Project Management.

syr-logo

Syracuse University

Software Engineer Intern

June 2024 - Present

Responsibilities:-
  • Developed a full-stack finance management application using Java, Spring Boot, React, and a microservices architecture, streamlining expense tracking, budget setting, and spending analysis for 100+ users.
  • Optimized query response times by 67% (150ms → 50ms) by integrating a Redis caching layer with LRU eviction policies, enhancing system scalability under peak loads.
  • Implemented robust security protocols with Spring Security and data encryption, ensuring compliance with privacy standards and safeguarding sensitive financial data.
    • @c4-lab

    C4 Labs

    Research Assistant

    May 2023 - Oct 2023

    Responsibilities:-
  • Implemented a custom data cleaning pipeline by combining functionalities from existing scripts into a modular function, tested on 100K+ records to ensure data quality for analysis utilized Python, Pandas, NumPy, and modular scripting.
  • Built a semantic deduplication API using FastAPI, spaCy and cosine similarity, reducing duplicate tweets by 20% (122k → 94K) and improving dataset quality for downstream NLP tasks.
  • Collaborated with a cross-functional research team to optimize the ELT pipeline by implementing best practices in NLP, data cleaning, and pipeline architecture, improving reliability and scalability for research use cases.
    • AOL logo

    Software Development Intern

    Aug 2020 - March 2021

    Responsibilities:-
  • Pioneered a project management Android application using Flutter and Dart, digitizing manual workflows and increasing productivity by 40% while enabling real-time project tracking for stakeholders.
  • Worked in an Agile development cycle, actively engaging with clients to gather feedback and iteratively enhance features maintained project transparency using Git for version control and Slack for team coordination.
  • Led a team of 5 interns to integrate Razorpay within the app, enabling direct donations and project tracking enhanced user engagement through a transparent, intuitive interface backed by Firebase for real-time data handling.

    • Projects

    Student performance img
    Student Performance Calculator.

    Developed a machine learning application using data preprocessing pipeline to clean and transform raw data and regression algorithms to calculate student's performance.

    ML project
    Forecasting Flight Arrival Times

    Established a predictive model using regression and classification algorithms to forecast flight arrivals into Syracuse, reducing errors by 20% with weather data.

    Gomuku
    Gomuku using CNN

    Created Gomoku-playing game using AI with a 7-layer convolutional neural network (CNN), ReLU activation in first 6 layers, sigmoid in output, achieving 87% accuracy.

    CIF Project
    Course Information Form Automation

    Automated course outcome system with modern tech, boosting efficiency by 40%. Developed data-driven platform, enhancing student performance by 20%. Led algorithm research.

    Trello-clone
    Task Management Application

    Built a Trello clone using SpringBoot, allowing for task management and collaboration application, Performed API testing using Postman resulting in enhanced productivity.