About Me
Highly motivated and results-oriented MS Computer Science student with strong technical skills in full-stack development, machine learning, and cloud technologies. Proven track record of building efficient solutions that reduce administrative overhead and increase operational efficiency by up to 45%. Seeking challenging opportunities where I can leverage my technical and leadership abilities to drive innovation.
Recipient of Southern Methodist University's Best Student Employee Award 2023-24 for outstanding contributions to university operations and academic excellence.
Education
Southern Methodist University
Master of Science in Computer Science (Expected May 2025)
CGPA: 3.711/4.0
Guru Nanak Institutions Technical Campus
Bachelor of Science in Computer Science (2023)
CGPA: 3.56/4.0
Skills Breakdown
Programming Languages
Web Technologies
Machine Learning
Cloud and DevOps
Soft Skills
Professional Experience
Full Stack Developer - Our Saviour Community Garden
May 2024 - Oct 2024 | Dallas, TX
- Built the organization's first website using React.js for the frontend, Flask for the backend, and MySQL for managing content dynamically
- Implemented a secure admin portal and donation tracking system that reduced administrative tasks by 20 hours per month
- Launched the site on Oracle Cloud Infrastructure with robust security measures and a CI/CD pipeline for automated updates
- Increased platform reliability by 35% and user activity by 45%, facilitating significant donation growth
Graduate Teaching Assistant
Jan 2024 - Present | Southern Methodist University
- Guide students through complex Operating Systems concepts including process management, memory allocation, and file systems
- Grade programming assignments focusing on C, Java and Python implementations
Teaching Assistant - Foundations of Modern Computing
Jan 2025 - Present | Southern Methodist University
- Assist students with fundamental computing concepts and programming paradigms
- Conduct weekly lab sessions to reinforce theoretical concepts with practical applications
Machine Learning Intern - Skill Vertex
May 2022 - Aug 2022
- Built FIFA Player Analysis predictive models with 85% accuracy to assess player performance
- Optimized data preprocessing by 30% using Pandas and Scikit-learn
- Developed HR promotion prediction models with 25% improvement in accuracy
- Automated data pipeline, increasing data ingestion speed by 35%
Technical Projects
Enhancing Thorax Disease Classification
- Developed an advanced medical imaging classification system using PCSANet
- Built a full-stack website for chest X-ray image analysis, enabling classification across 12 thorax disease categories
- Achieved 63% accuracy in disease classification, improving diagnostic efficiency
- Implemented the solution using PyTorch, JavaScript, and RESTful APIs
Fruit Stage Identification Using Image Processing
- Engineered real-time visual processing systems using Deep CNN to analyze conveyor-belted fruits with precision levels exceeding industry standards
- Designed and refined machine learning algorithms to analyze surface textures of fruits; achieved a 20% increase in identification accuracy for oranges, apples, and bananas
- Created comprehensive documentation demonstrating enhanced staging efficiency
- Implemented real-time processing capabilities for continuous fruit quality monitoring in production environments
Leadership & Activities
Mustang Band Drumline Member
Aug 2024 - Present
- Perform at Southern Methodist University athletic events, elevating team spirit through dynamic performances
Interfaith Fellow, Office of Chaplain and Religious Life
Aug 2023 - Present
- Lead and organize cultural festivals celebrating diversity
- Facilitate interfaith dialogue and community building initiatives
Computer Science Club
Feb 2024 - Present
- Part of a team developing website for health analytics
- Implementing predictive models for disease analysis through data mining projects