Contact

✉️ [email protected]

📍 Goleta, Santa Barbara, California

🌐 LinkedIN Profile

🌐 Github profile

Skills

Skills (1)

View my CV

<aside> <img src="/icons/verified_blue.svg" alt="/icons/verified_blue.svg" width="40px" /> I am a self-motivated and hardworking Master’s in CS student with a strong background in Operating Systems, Web Dev and User Research. I thrive in a collaborative and challenging environment and utilize my knowledge for the growth of organization and society. I love to learn and build something new, innovative, productive and creative.

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Work History

Researcher

June 2023 - May 2024

• Developed and deployed interactive online simulations on Linux OS concepts.
• Conducted workshops with ~150 students each to beta test the product.
• Presented the project at R&D showcase to representatives from 15 universities.
• The experiments designed are now used by almost 11 million users in India.

Technical Volunteer Staff

Dec 2023

• Lead tech support member for the 2nd ACM CompED global conference in India.
• Collaborated with the organizing chair to successfully execute a week long conference.

Design Engineer

Aug 2022 - Mar 2023

• Lead tech support member for the 2nd ACM CompED global conference in India.
• Collaborated with the organizing chair to successfully execute a week long conference.

Education

MS (Master of Science) in Computer Science (CS)

University of California, Santa Barbara (UCSB) Expected July 2026

B.tech (Bachelor of Technology) in Computer Science and Engineering (CSE)

International Institute of Information Technology, Hyderabad (IIITH) July 2024

Research Interests

I am passionate about exploring the intersection of Artificial Intelligence, Machine Learning, and Human-Centered Computing, with a strong focus on Explainable AI (XAI), Natural Language Processing (NLP), and Content Moderation Systems. My research interests include:

• Explainable AI (XAI): Developing intuitive and interpretable AI systems to enhance trust, transparency, and usability in decision-making processes.
• Natural Language Processing (NLP): Investigating sentiment analysis, text classification, and model interpretability techniques to improve AI-driven communication systems.
• Graph Neural Networks (GNNs): Understanding the evolution from traditional deep learning to GNNs and their applications in structured data representation.
• Scalable Systems & Performance Optimization: Optimizing large-scale web applications, including load testing, caching, and parallel computing, to enhance efficiency.
• Human-AI Collaboration: Designing interfaces that integrate AI explanations into human decision workflows, particularly in content moderation and automated assessment tools.

I am excited about opportunities to bridge theoretical advancements with real-world applications, particularly in developing responsible and interpretable AI systems.

Projects

InkON – A Novel writing application

Java with Gradle. A Linux supported application for writers to create and edit character notes, drafts, and chapters.

GitHub - Bhargavi-hash/InkOn: A novel writing application built using java with gradle

Racket Compiler

Compiler developed using Racket programming language to generate assembly level code from racket programs.

Code-Mixed-Machine-Translation (CoMeT)

NLP. Generating a machine translation system from English to Hindi in supervised learning.

GitHub - Bhargavi-hash/Code-Mixed-Machine-Translation

Pregnancy Monitor

Real time mobile application - Flutter - Firebase - Dart - ZohoCRM. Mobile application designed for Parijatham clinics to monitor the health of pregnant women and study their vitals.

GitHub - Bhargavi-hash/Remote-pregnancy-monitor: DASS group project done to build a web app for parijatham clinics

Room Occupancy Detection

Embedded systems - IoT - Smart home appliances. Designed to detect human presence in a room and display the room conditions like occupancy, temperature, humidity recorded by the system on the dashboard.

GitHub - Bhargavi-hash/Motion-sensor-for-occupancy-detection: Embedded systems workshop team project for Motion sensor for occupancy detection