Bhoomika Gupta

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About


Hi, I'm Bhoomika, a Data Science undergraduate at San José State University with a strong foundation in machine learning, large language models, and applied AI. Some of my recent work focuses on LLM safety evaluation, reinforcement learning-based emotion prediction, and machine learning for health and biological data. I'm especially excited about making AI systems safer, more interpretable, and useful in practice. I enjoy turning complex research ideas into systems that create real-world impact.

Research Interests

LLM Safety & EvaluationAI AgentsML for Health & Biological SystemsInterpretability

Research


Nanyang Technological UniversityActive

RL Framework for Emotion Prediction

Advisor: Prof. Erik Cambria

Developing an agentic reinforcement learning framework to anticipate speaker emotions before the next utterance using prior conversation history. Focusing on speaker-state memory, cross-speaker affect signals, and reward design for more context-aware dialogue systems.

Reinforcement LearningEmotion PredictionDialogue Systems
University of Southern CaliforniaActive

FastMap-Based Edge-Orientation Optimization

Advisor: Prof. Satish Kumar Thittamaranahalli

Building a FastMap-based framework for edge-orientation optimization under asymmetric routing demands. Modeling street and warehouse routing as a combinatorial optimization problem with directed arcs and capacity constraints.

OptimizationGraph AlgorithmsRouting
University of California, Santa Cruz · AIEA LabActive

Neuro-Symbolic AI

Advisor: Prof. Leilani Gilpin

Developing systems that integrate large language models with symbolic structures to enable structured, verifiable reasoning. Focusing on architectures that combine neural language understanding with formal logic for robust inference.

LLMsSymbolic SystemsReasoning
San José State UniversityActive

OpenGuard: Policy-Driven LLM Evaluation

Advisor: Pranoy Kovuri (AI Engineer at Apple)

Building a policy-driven framework to evaluate LLM guardrails against runtime-defined moderation rules. Designing structured test suites across attack types and analyzing failure modes such as false positives, partial leaks, policy conflicts, and degradation under constraint.

AI SafetyLLM EvaluationGuardrails
San José State University
Active2 Posters

RNA Biosensor Classification

Advisor: Dr. William Andreopoulos

Building ML pipelines for low-cost biosensors to classify RNA sequences for virus detection in water samples. Achieving 95% accuracy using a Mixture-of-Experts architecture with reproducible feature extraction.

Research posterResearch poster
PyTorchMoEBiosensors
San José State University · SKILLabActive

HTR-Former: Hypertension Therapy Response Prediction

Advisor: Prof. Jelena Gligorijevic

Building a time-aware transformer model to predict post-treatment blood pressure control from longitudinal EHR data. The project focuses on modeling patient history across diagnoses, medications, labs, and vitals to support therapy response prediction.

EHRTransformersClinical ML
University of California, San DiegoActive

Computational Analysis of Online Communities

Advisor: Nazanin Sabri (PhD at UCSD)

Analyzing large-scale social media data using topic modeling and sentiment analysis to map community structures and value systems across online subcultures.

NLPTopic ModelingSocial Computing
San José State University · Bachelor ThesisPlanned

Constraint Vulnerability in Chain-of-Thought Reasoning

Advisor: Dr. Teng Moh

Investigating how chain-of-thought reasoning affects instruction-following accuracy in LLMs, with a focus on identifying which constraint types are most vulnerable.

LLMsReasoningEvaluation

Experience


AI/ML Fellow
Apr 2026 – Present

Break Through Tech

Selected for a competitive, industry-aligned AI/ML fellowship focused on applied machine learning, technical mentorship, and project-based collaboration.

MLFellowshipApplied AI
Software Engineering Intern
2026 – Present

Software and Computer Engineering Society · SJSU

Building self-update and restart features for SCE's CI/CD system to improve deployment reliability across internal tools.

FastAPICI/CDPythonDockerDevOps
Edge AI Intern
Apr 2026 – Present

SiMa.ai × SJSU

Developing YOLO-based edge vision pipeline for real-time occupancy estimation across video streams.

YOLOEdge AIComputer Vision
AI/ML Intern
Nov 2025 – Feb 2026

EPA ESA × SJSU

Built an AI agent to validate and normalize 200+ county-level soil datasets. Automated compliance checks using rule-based and LLM-assisted evaluation, reducing manual effort by 70%.

PythonLLMsMongoDB
Research Intern
Aug 2025 – Dec 2025

San José State University

Developed ML pipeline for low-cost biosensors, classifying 500+ RNA sequences with 95% accuracy using Mixture-of-Experts in PyTorch.

PyTorchML PipelineBiosensors
Fellow
Jan 2025 – Sep 2025

Paragon Policy Fellowship

Analyzed large public datasets using SQL to identify trends in AI governance and healthcare. Translated quantitative findings into actionable policy briefs.

PolicySQLAI Governance
Fellow
2024

AI4ALL

Built an accessibility tool simplifying complex text using FLAN-T5, reducing text length by 60–80% while preserving meaning.

NLPFLAN-T5Accessibility

Projects


📉

Price Drop Prediction System

Predicts product price drops across 1,200 products using 8 years of monthly pricing data. Improved alert precision by 3× and increased AUC from 0.43 to 0.70 over fixed threshold baselines.

LightGBMFastAPIPython
🔍

Real-Time LLM Monitoring System

Streaming pipeline analyzing prompt–response events via Kafka. Handles 1K+ events/min with <200ms latency, flagging 15–20% of outputs for intervention.

KafkaStreamlitDocker

AI Accessibility Assistant

Text simplification tool using FLAN-T5 for readers at varying levels. Reduced text length by 60–80% while preserving meaning across 100+ passages.

FLAN-T5NLPTTS
🧠

MyMindHealth

Mood tracking app using NLP and sentiment analysis to detect emotional patterns and surface data-driven insights.

NLPscikit-learnSQL

Leadership


Lead Ambassador

Responsible Computing Club · SJSU

Selected for a global initiative promoting ethical technology and responsible AI practices on campus.

Technical Workshops Lead

Applied Engineering Organization · SJSU

Organized and led technical workshops on AI, GenAI, Python, and Java for peers and club members.

AI Officer

AI/ML Club · SJSU

Managing and collaborating on AI projects across student teams at SJSU.

Honors & Awards


President's Scholar·San José State University·4.0 GPA
2025
President's Scholar·San José State University·4.0 GPA
2024

Let's Connect


Always on the lookout for opportunities to learn more and grow.

bhoomika.gupta@sjsu.eduLinkedIn ↗