cv

Ph.D. in Computer Science

• Thesis Committee Amir Rahmani (Advisor), Ramesh Jain, Nikil Dutt
• Research focus on causal inference, synthetic data generation, and fairness for health and medicine

M.S. in Computer Science

M.Sc. in Power Engineering

B.E. in Electrical and Electronics Engineering

Graduate Student Researcher

• Build novel LLM-augmented causally fair synthetic data generation pipeline using Python, R to reduce bias in real-world health datasets; first-author publication in IEEE Medicine and Biology conference.
• Assisted in conceptualizing an LLM-powered framework for a diet recommendation chatbot using health data, achieving 92% effectiveness; co-authored publication in Elsevier Smart Health Journal.
• Integrated dietary guidelines and nutrition calculation tools into LLM-based health agents, enabling explainable diet risk assessments; co-authored publication in IEEE Medicine and Biology conference.
• Developed a causal inference framework using Python for a 3-year N-of-1 observational dataset to analyze the effect of caffeine on heart rate variability; first-author paper in computing conference.

Visiting Researcher

• Developed novel reliability-aware task allocation strategies for IoT networks using Python to reduce overall maintenance cost.
• Built a real-world IoT mesh network communicating via MQTT and Wi-Fi to measure impact of resource constraints on reliability leading to 3 co-authored publications in top-tier system conferences.

Research Data Scientist Intern

• Built LLM-powered topic modeling framework to analyze quantitative data for 6,000 sleep apnea patients using LLMs and Langchain in Python, improving therapy personalization.
• Collaborated with an interdisciplinary team of 5 researchers to refine product claims related to pressure and wakefulness in sleep apnea patients; first-author abstract in American Thoracic Society 2025.

Data Scientist Intern

• Led de-identification, aggregation, and analysis of data for 12,000 patients in a remote patient monitoring program, adhering to HIPAA guidelines, resulting in an academia-industry partnership.
• Collaborated with a cross-functional team to develop personalized interventions for diabetes and hypertension management; co-authored abstract and poster at American Heart Association 2024.

Research and Development Engineer

• Developed a Python tool to parse 5,000 logs from the Qualcomm AI accelerator, reducing cycle time by 3x and lowering upstream production costs.
• Triaged and debugged failures in three ML accelerator SDKs through feature engineering and model evaluation, resulting in a 10% performance improvement across internal benchmarks.

Teaching Assistant

• ICS 139W Critical Writing on Information Technology (9 quarters)
• CS295P Capstone Writing and Communication
• CS122A Database Management
• CS145 Embedded Software
• ICS 6B Boolean Logic and Discrete Structures
• CS143A Principles of Operating Systems
• CS141 Programming Languages
• ICS 46 Data Structures

• Preparing for Faculty Careers, UC Irvine
• Course Design Essentials, UC Irvine

• Career Transition Series Certificate, UC Irvine

• Emotional Intelligence Certificate, UC Irvine
• Accelerate2Industry Certificate, UC Irvine
• Improv for Teaching Certificate, UC Irvine

• Public Speaking Certificate Program, Activate to Captivate, UC Irvine
• Improv for Science, UC Irvine
• Mentoring Excellence Program, UC Irvine

• LLMs/AI tools on a Daily Basis, Pacific Club, Newport Beach, CA

• Building Diet and Well-being Recommendation Systems for Lifestyle Management, Stanford University

• Building Diet and Well-being Recommendation Systems for Lifestyle Management, IIIT-Delhi, India
• Building Diet and Well-being Recommendation Systems for Lifestyle Management, INRAE, Paris
• Building Diet and Well-being Recommendation Systems for Lifestyle Management, University of Barcelona, Spain

• Beall Family Entrepreneur Award in Computer Science $5,000
• Grad Slam Semifinalist

• Bob & Barbara Kleist Endowed Graduate Fellowship $2,500
• Beall Butterworth Product Design Competition (1st place, Brazil Trip)
• Grad Slam Semifinalist

• Best Social Media Reporter, ACM Multimedia Conference
• Student Travel Grant $2,000, ACM Multimedia Conference
• Mental Health Hackathon Winner $3,500 (1 of 30)
• Grad Slam Semifinalist

• Elevator Pitch Competition 2nd place (out of 10), GPS-STEM
• Incoming Graduate Student Fellowship $2,500 (1 of 350)

• Academic Excellence Scholarship $2,500 (1 of 200), TU Munich
• TUM Junge Akademie Scholar (1 of 40)

• Masters Thesis Abroad Scholarship $2,000 (1 of 50), TU Munich

• Best Outgoing Student (1st in 70), R.V. College of Engineering
• Academic Excellence Award (2nd in 70), R.V. College of Engineering
• Innovative Thesis Award (2nd in 70), R.V. College of Engineering

Lead Mentor, Artificial Intelligence Club

• Initiated the "How to Apply to Grad School" series for 75+ students, reviewed 15+ personal statements, leading to 5+ admission offers from Carnegie Mellon University, University of Southern California etc.
• Designed and executed a 10-week coding interview preparation program for 15 students to prepare them for software engineering and machine learning internships and jobs in the industry
• Hosted information sessions on "How to apply for research opportunities" for 20 + students leading to 5+ students pursuing UROP and other on-campus research roles

Inclusive Excellence Representative, Computer Science

• Ally for women in tech (GHC '23 scholar), peer mentor for 5 underrepresented students, led panel of 50+ attendees on ethical and societal challenges in computing.
• Collaborate with students, faculty and partners toward a brilliant future and increasing retention of minorities in graduate programs.
• Coordinated and organized a panel on "How to Excel in your Summer Internship" with panelists from Google, Amazon, Facebook, Apple and Microsoft.
• Led a panel of 50+ attendees on critical aspects of large language models, reproducibility challenges, ethical and societal challenges in computing.

Peer Mentor, Graduate Interconnect and Competitive Edge

• Assisted staff at the International Center in helping 20 incoming graduate students to transition smoothly into their graduate program
• Mentored graduate student 1:1 after arriving at UCI on aspects related to finding advisors, logistics, and program specific questions through blogposts, campus tours and coffee chats
• Peer mentor for incoming a underrepresented computer science graduate student with diverse academic and cultural background

Undergrad Research Mentor

• Mentored a rising junior through biweekly sessions covering research fundamentals and lab projects, leading to their research assistant and undergraduate researcher roles.

Global Exchange Mentor

• Facilitated smooth transitions for international students by providing guidance on TUM's academic system, fostering cross-cultural connections, and introducing them to local German culture
• Served as a PREP (Practical Research Experience Program) Buddy for a UC Berkeley undergraduate, supporting academic onboarding, cultural adjustment, and daily logistics during a 9-week research stay
• Advised a junior student from National Chiao Tung University, Taiwan through the MIX (Mentoring for International eXchange Students) program on course selection and academic planning in Electrical and Computer Engineering

Volunteer

• Lead volunteer "Feeding the Hungry" project delivered food and essentials to 10+ orphanages and senior centers helping alleviate poverty and hunger.
• Organized personal hygiene awareness campaigns for impoverished youth toward long-term health.
• Involved in humanitarian assistance during natural calamities, organizing team building activities for youth, and striving towards environmental stewardship.

• Association for the Advancement of Artificial Intelligence (AAAI)
• Machine Learning for Health (ML4H)

• International Conference on Multimedia Modeling (MMM)

• ACM International Conference on Multimedia (ACMMM)