Education

• B.S. in Information and Data Science, Minor in Game Design and Development
  University of Arizona, 2020 - 2024, GPA: 3.9/4.0
• International Baccalaureate, Navrachana International School, Vadodara, India

Work Experience

Researcher - ML, LLMs, NLP (Aug 2024 - Present)

San José State University Research Foundation

• Leading AI research in Large Language Models (LLMs) for innovative AI-driven solutions.
• Focused on Explainable AI (XAI) to enhance transparency in complex AI systems.
• Bridging theory and practical AI applications for real-world solutions.

Software Engineer - ML, LLMs, XAI (Apr 2024 - Present)

3UM

• Improved LLM accuracy by 25% through fine-tuning with PyTorch and Huggingface.
• Optimized performance using KV cache and Rotary Embeddings.
• Integrated models into cloud-based platforms, enhancing distributed systems.

Software Engineer - ML/AI (Feb 2024 - May 2024)

NASA JPL

• Developed AI systems for CubeSat with 97% pose estimation accuracy using vision sensors.
• Managed multi-modal neural network training and large-scale data processing.
• Contributed to the NASA Johnson Space Center’s pose estimation challenge.

Data Science Researcher - Mining Engineering (Feb 2023 - Apr 2024)

St. Xavier Mine Project

• Designed a virtual St. Xavier Mine, enhancing simulations with advanced AI and ML algorithms.
• Optimized A* and Dijkstra pathfinding, reducing execution times by 23%.
• Improved simulation responsiveness and efficiency in real-time environments.

HCI Researcher (Apr 2024 - Sep 2024)

NJIT Ying Wu College of Computing

• Led research on ethical AI in aging, focusing on fairness, transparency, and inclusivity.
• Conducted extensive reviews and formulated research questions for aging-related AI applications.
• Collaborated with Professor Alisha Pradhan to lead initiatives in AI for older adults.

Data Science Researcher - Health Science/Medicine (Feb 2023 - Feb 2024)

Cyberlearning for Medicine

• Explored Cyberlearning, focusing on co-robotic teachable agents for immersive education.
• Developed virtual agents using VR, creating engaging learning experiences for medical students.
• Collaborated with Dr. Burleson on innovative educational technology research.

Software Engineer Researcher - Aerospace Engineering (Jan 2023 - Feb 2024)

Virtual Aerospace Lab

• Created a virtual lab simulating aerospace scenarios using ML and AI techniques.
• Applied advanced simulation methods to optimize aerospace designs and predict outcomes.
• Utilized MATLAB and ML algorithms to enhance decision-making and system performance.

Software Engineer Researcher - Industrial Engineering (Feb 2022 - Jan 2023)

MADE Lab

• Optimized supply chain networks through innovative algorithms and models.
• Improved production efficiency by applying lean manufacturing and process improvements.
• Analyzed human-machine interactions to enhance occupational safety and efficiency.

Software Engineer Researcher - Computer Science (Feb 2022 - Jan 2023)

Penn State University

• Specialized in AI and ML algorithms, with a strong focus on computer vision and pattern recognition applications.
• Collaborated with Dr. Daniel and a research team to analyze large datasets, applying advanced data processing techniques for extracting insights and enhancing algorithm performance.
• Co-developed novel AI and ML algorithms, improving accuracy and efficiency in image recognition and object detection through extensive experimentation.

Software Engineer Intern (Jun 2022 - Aug 2022)

Tech Core

• Developed software applications and streamlined processes using advanced programming languages and frameworks.
• Collaborated with cross-functional teams to integrate technology, boosting efficiency and productivity across the organization.
• Employed data analysis tools to extract insights that informed data-driven decisions, contributing to the implementation of AI and ML technologies to optimize business operations.

Software Engineer Intern (Jun 2021 - Aug 2021)

GirlScript Summer of Code

• Developed and integrated 3D models for visual rendering using Three.js and Cesium.
• Utilized Docker for scalable deployment of project instances, contributing to efficient workflows.
• Delivered comprehensive documentation, ensuring smooth project handoff and collaboration.

Skills

• Programming Languages: Python, Java, C/C++, PHP, MySQL, HTML/CSS, JavaScript
• Frameworks & Tools: TensorFlow, PyTorch, Huggingface, Git, Docker, Spring
• Software Development: Entity Framework Design, Android Programming, GUI Design
• Machine Learning: LLMs, Explainable AI, Computer Vision, Pathfinding Algorithms

Service and Leadership

• E-board member, Google Developer Student Club, University of Arizona
• Dean’s List honoree for four years
• Gold Medalist, International Award for Young People
• Community team member, Rewrite the Code (since 2020)
• Mentor/Judge at Calhacks 11.0
• IEEE student Member for Silicon Valley Chapter