Iβm a passionate Computer Science graduate with a focus on Full-Stack Engineering, Machine Learning, and Cloud Development. I enjoy building scalable, user-centric applications and data-driven tools that solve real-world problems.
- π Currently a Software Developer Intern at Texas Advanced Computing Center (TACC), working on high-throughput data workflows, interactive dashboards, and scalable web tools using React, Python, Docker, RESTAPI's and AWS.
- π§ Recently worked on a Mental Health Data Analysis project involving ML pipelines, SHAP feature selection, and model optimization using CatBoost.
- π Built and deployed a responsive travel web app using Next.js, Tailwind, TypeScript, Docker, and GitHub Actions on AWS EC2.
- π₯οΈ Interested in DevOps, Open Source, and Applied Machine Learning in research or production settings.
- π± Currently learning advanced CI/CD pipelines, cloud automation, and sharpening skills in backend development with Django and PostgreSQL.
- π¬ Ask me about React, Python, REST APIs, Machine Learning, or Cloud Infrastructure.
- π§© Always open to collaborating on open-source or community-driven tech projects.
- π οΈ Hacktoberfest 2024 contributor β building accessible, clean tools that help developers level up!
- π« How to reach me: LinkedIn | GitHub
- π Pronouns: She/Her
π§ Tech Stack & Tools
Python
React
TypeScript
Next.js
Docker
AWS
GitHub Actions
MySQL/PostgreSQL
TensorFlow
OpenCV
CI/CD
Django
REST APIs
- Languages: Python, SQL, JavaScript, R, Bash, C++
- Frameworks & Libraries: React, TensorFlow, PyTorch, OpenCV, MediaPipe, Spring Boot, Django
- Web Development: HTML, CSS, JavaScript, Next.js, TypeScript, Tailwind CSS
- Cloud & Tools: AWS (EC2, S3), Azure, Docker, Power Automate, GitHub Actions, Postman, Wireshark
- Databases: MySQL, PostgreSQL, Oracle DB, MongoDB, Apache Spark
- Practices: Agile, CI/CD, RESTful APIs, Data Engineering, Predictive Modeling
- πΊοΈ Travel Landing Page β Full-stack web app using Next.js, TypeScript, Docker & AWS EC2.
- π Mental Health Time Series Project β Machine learning & SHAP feature analysis on mental health datasets.
- π Heart Disease Prediction Model β Built using Python & ML algorithms for healthcare risk classification.
- π― Computer Vision Calculator β Gesture-based calculator using OpenCV + MediaPipe + TensorFlow.
- π University Event Management System β Spring Boot + MySQL app for managing campus events.
- π Hacktoberfest Contributions β Contributed to 5+ open-source projects and earned the Level-4 Holopin Badge!
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Software Developer Intern β Texas Advanced Computing Center, UT Austin
Developed scalable research dashboards, high-performance data pipelines, and cloud-deployed services. -
IT Intern β Blackmore Partners
Provided Tier-1 support, automated CRM tasks, and managed remote technical operations. -
Cybersecurity Intern β Cisco (Virtual)
Focused on network configuration (LAN/WAN), threat monitoring, and firewall troubleshooting.
π« Letβs Connect!
π Pronouns: She/Her
β‘ Fun Fact: I love turning complex problems into clean, deployable code β and collaborating with amazing developers like you!
Thanks for stopping by my GitHub profile! π Looking forward to connecting and collaborating with like-minded developers and data enthusiasts!