About me

I'm a Senior majoring in Computer Science at Stony Brook University and a minor in Japanese Studies. I enjoy solving problems and building the solutions that genuinely helps people in the real world.

Software Engineer with a 3.76 GPA and a strong foundation in full-stack development and AI integration. Proven track record of building automated data pipelines, MERN stack web applications, and desktop software using Python, React, and PostgreSQL. Passionate about leveraging data-driven architectures to optimize workflows and drive technical innovation.

What i'm doing

  • Data science chart icon

    AI & Data Science

    Building machine learning solutions with Python, Scikit-Learn, Pandas, and exploratory data analysis.

  • Full-stack code icon

    Full-Stack Development

    Developing responsive MERN applications, RESTful APIs, and secure user experiences with JavaScript and React.

  • Cloud data engineering icon

    Data Engineering & Cloud

    Designing automated data pipelines and AI-integrated systems with Python, PostgreSQL, Azure OpenAI, and vector databases.

  • Leadership and mentorship icon

    Leadership & Mentorship

    Supporting student communities through resident leadership, conflict resolution, mentorship, and collaborative program development.

Companies I have worked with

Resume

Education

  1. Bachelor's in Computer Science | Stony Brook University

    Expected May 2027

    Current GPA: 3.76

Experience

  1. AI Workforce & Development Intern | SUNY Research Foundation

    July 2026 — September 2026
    • Engineered a centralized data pipeline to standardize New York State Department of Labor (NYSDOL) apprenticeship crosswalks across 30+ SUNY campuses, eliminating redundancies in hundreds of templates and streamlining the active course catalog for over 60%.
    • Developed a standalone desktop application using Python (Tkinter, Pandas) equipped with dynamic multi-criteria filtering, full-database search, and algorithmic color-coded match scoring to enable seamless offline data validation for campus administrators.
    • Architected a cloud-based AI pipeline utilizing Azure OpenAI and a PostgreSQL vector database to automatically extract and map unstructured supplementary data from training requirements, projecting a 70% reduction in manual verification time.
    • Analyzed consolidated crosswalk data to identify high-demand apprenticeship trades, guiding strategic funding allocation for corporate partnerships and expanding career pipelines for over 500 students annually.

  2. Web Development Intern | SSC Infotech LLP

    June 2024 — August 2024
    • Developed a clean, user-friendly interface for a client website supporting 200+ daily users, focusing on technical requirements and user experience.
    • Utilized CSS to engineer a fully responsive interface across all device types, implementing custom slick sliders to enhance modern UI aesthetics.

  3. Resident Assistant | Stony Brook University

    August 2024 — Present
    • Facilitate conflict resolution among 35+ residents, while mentoring 7 council members as a Hall Council Liaison, providing leadership and program development.
    • Coordinate with a 7-person team to oversee 250+ residents, ensuring a supportive and organized environment through effective teamwork.

Technical Skills

  1. AI & Data Science

    Python, Scikit-Learn, Pandas, NumPy, Matplotlib, Seaborn, Machine Learning,
    Data Visualization, Exploratory Data Analysis (EDA)

  2. Software & Platform

    Java, C, OCaml, JavaScript, React, PostgreSQL, MySQL, DevOps

  3. Productivity & Design

    Microsoft Office, Figma, Fusion 360

  4. Languages

    Native fluency in English, Telugu, Hindi, and Gujarati; intermediate Japanese

Projects

  1. Data Mapping & Classification | Python, Scikit-Learn, Pandas

    October 2025
    • Engineered an advanced decision tree classifier, optimizing depth and split parameters using GridSearchCV to analyze a credit card transactions dataset of over 1 million entries.
    • Conducted Exploratory Data Analysis (EDA) using Seaborn to construct heatmaps and scatterplots, isolating highly correlated variables like the ratio of median purchase price to inform the machine learning architecture.
    • Tuned the classification model utilizing cross-validation and balanced class weights to address a significant class imbalance, achieving an F1-score of 0.84 and a 79% fraud detection rate without overfitting.

  2. Playlist Web App | JavaScript, MongoDB, SQL

    September 2025
    • Developed a full-stack MERN web application.
    • Engineered a back-end RESTful API with Express to manage data in a MongoDB database.
    • Built a dynamic, component-based React front-end featuring client-side routing and secure user authentication.
    • Implemented CRUD operations, including undo/redo functionality, for user-generated playlists and songs.

Extracurricular

  1. Canon USA Mentorship | Stony Brook University

    August 2024 — June 2025
    • Collaborated with a mentor from Canon USA to learn corporate strategies and project development cycles.
    • Gained exposure to projects involving Machine Learning and Cloud technologies, understanding the integration of various departments in technical workflows.

Contact

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