Master of Science in Biomedical Engineering

Los Angeles, CA

Merit-based from 2025 PhD pool.

Master of Science in Business Analytics

Pittsburgh, PA

Dean's Honor List. Merit scholarship recipient.

Bachelor of Science in Mathematics (Applied Mathematics and Chemistry)

Riverside, CA

Dean's Honor List.

arXiv Pre-Prints

Irvine, CA

NEXQ Inc.

• Promoted from Founding Engineer based on demonstrated technical leadership and execution.
• Owns overall system strategy for a quantum deep-tech startup building secure, scalable platforms for biomedical imaging and quantum-safe analytics.
• Accountable for business-critical engineering decisions spanning system architecture, security posture, deployment strategy, and research-to-production translation.
• Leads fundraising, partnerships, and go-to-market execution while maintaining direct ownership of core technical systems and delivery timelines.
• Designed executive dashboards and reporting pipelines to support internal decision-making and external stakeholder communication.
• Designed and implemented core architecture across quantum ML, high-performance computing pipelines, cloud infrastructure, and secure APIs.
• Led development of QNN-based tumor segmentation and financial simulation systems integrating post-quantum cryptographic primitives and multi-cloud deployment pipelines.
• Built and launched encrypted MVPs used to validate oncology and analytics workflows, with direct responsibility for correctness, performance, and failure modes.

LuxLeaf AI

• Designed and engineered six contracted sites, including NEXQ and OSUN & Co.
• Designed and engineered AURIX-AI, an open-source cloud-native decision optimization platform integrating telemetry ingestion, uplift modeling, and profit-aware policy selection.
• Owned protocol architecture and optimization logic supporting large-scale experimentation, backtesting, and deployment of data-driven decision systems.
• Designed and implemented distributed vector search infrastructure with FAISS and Weaviate over 20+ TB of unstructured data with sub-second query latency.
• Built end-to-end ML pipelines supporting semantic search, experimentation, and rapid iteration for research and production users.
• Led development and deployment of healthcare-focused and ethical-AI LLM systems leveraging RAG, LoRA/PEFT fine-tuning, and MLOps best practices for reliability, auditability, and HIPAA/GDPR-aware compliance.
• Transitioned from independent engineering engagements to formal company operations delivering production-grade systems for global clients.
• Architected and operated secure, high-performance backend services and APIs with direct responsibility for reliability, scalability, and maintainability.
• Designed and deployed full-stack systems using React, Angular, Python, and SQL, integrating backend services with data-driven frontends and analytics workflows.
• Owned cloud infrastructure and CI/CD pipelines using AWS, Docker, Kubernetes, GitHub Actions, Jenkins, and Terraform.
• Delivered multiple long-running client engagements under NDA, demonstrating sustained technical ownership, autonomy, and client trust.

Massachusetts Institute of Technology

• Promoted from Instructor based on demonstrated technical leadership and curriculum execution.
• Designed and delivered federally funded quantum software systems curriculum translating theoretical models into executable, production-quality code.
• Mentored instructors and TAs while establishing technical standards and project frameworks.
• Taught Qiskit fundamentals, developed student projects, and delivered live instruction for MIT Beaver Works Summer Institute.
• Delivered curriculum funded by MIT Lincoln Laboratory and MITRE.

City of Hope - Beckman Cancer Research Institute

• Developed a novel CAR-T cell treatment technique for glioblastomas with Dr. Ryan Woodall and Dr. Russell Rockne.
• Positioned research for classical and high-performance computing applications.
• Contributed to publication-track computational and quantitative medicine research.

Interdisciplinary Center for Quantitative Modeling in Biology

• Received direct advising under Dr. Heyrim Cho and Dr. Yat Tin Chow.
• Applied machine learning skills toward computational oncological analysis.
• Integrated stochastic models to reduce parameter variance and improve prediction accuracy.

Allen P. Mills Positron Laboratory

• Developed a non-uniform thin-film Bose-Einstein Condensate substrate.
• Led polymer synthesis and substrate fabrication team, increasing productivity by 200%.
• Aided in writing NSF grant updates that were well received by Dr. Allen P. Mills.
• Applied machine shop experience toward substrate fabrication.
• Designed and managed the lab's public research site.

University of California, Riverside

• Mentored undergraduate fellow David Nwineh from Riverside Community College on polymer synthesis and quantitative and analytical chemistry.
• Guided research obstacle-solving, professional skill growth, symposium presentation development, and research poster preparation.
• Ensured successful program completion with a focus on research maturity and professional development.

NSF UCR Positron Summer Institute Internship

• Applied ATC Load-Locked RF Sputtering techniques toward quantum anti-particle R&D for tetraethyl orthosilicate based Bose-Einstein Condensate targets.
• Worked on mathematical models based on angular momentum, dispersion rates, and viscosity to develop polymer recipes.
• Expanded positron diffusion models with random walk simulations in MATLAB.
• Used computer-aided design to engineer a trench for a metal alloy conductor etched by electron-beam lithography after scanning electron microscopy alignment.

University of California, Riverside

• Conducted research with Dr. Alexander Scott Malinick under Dr. Quan Jason Cheng on Surface Plasmon Resonance for disease detection and characterization of complex biophysical interactions.
• Contributed to projects on curved membrane biomimicry and effects of nanoplastics and lanthanides on lipid membranes.
• Received hands-on training with lipid extraction, e-beam deposition, NanoSPR, and NanoSPRi.
• Developed machine learning skills in R, Python, and MATLAB for computational analysis and neural network development.
• Performed quantitative SPR and MALDI-TOF-MS reporting, computational docking, and computational chemistry analysis for gangliosides, proteins, and enzymes.

University of California, Riverside

• Applied SPR, electron beam evaporation, and machine learning to biophysical studies of nanoplastics on lipid membranes with Dr. Alexander S. Malinick and Suzette Aguayo.
• Aided data analysis of curved membrane biomimicry and presented a new project received well by Principal Investigator Dr. Quan Cheng.
• Received NSF funding through a $3,500 research grant and an additional $1,500 for clean room machine training.

Independent Business Operations

• Invested in iconic shoes, streetwear, accessories, and technology.
• Generated a 45% net profit margin that funded giveaways, positive engagement, and sales growth.
• Opened two additional branches after six months: special and limited-edition pre-orders and personalized priority shipping labels.
• Sold to a private investor to focus on learning and technical growth.

Synn Nation

• Constructed multiple championship-winning teams.
• Led team-development exercises contributing to a 250% boost in engagement.
• Increased annual revenue by 130%, which was well received by the CEO.

Freelancer & UpWork

• Received direct mentorship from Dr. Jack Sheau-Min Wu.
• Coordinated with multiple international teams to broaden troubleshooting capabilities.
• Executed and revised projects in C/C++, CSS, HTML, Java, Python, and PHP.
• Signed an NDA for an eight-month C project.