About

Last updated: June 2025

Currently, working as an Applied Scientist on the Detector Physics team in Redlen Technologies, investigating semiconductor x-ray detectors. In this role, I develop and refine physics-based models to understand semiconductor materials—focusing on carrier dynamics, space charge effects, and material defects. I design and execute electro-optic tests to characterize device performance, lead hands-on optical and mechanical system setups, and build custom hardware using CAD tools. My role also includes automating data acquisition and analysis in Python, managing technical documentation, and collaborating across engineering teams to ensure precise, reliable results that inform both technical improvements and business decisions.

Throughout my Ph.D., I worked closely with data: doing multiparticle simulations of electron beams and tracking their real space and momentum space coordinates of up to 10000 particles, or analyzing time-series electron diffraction images. These projects involve Data Extraction, Data Cleaning, and Data Manipulation of large data sets (few Gb) and fitting them into theoretical models. I have been coding in Python for 10+ years and taught it for undergraduate courses. I am also knowledgeable in SQL, Tableau, and Excel. In addition to those technical skills I mentioned, I am very comfortable presenting my work to a technical and lay audience, and I have lots of experience writing technical reports.

In addition to my professional expertise, I am passionate about martial arts, with a focus on Brazilian Jiu-Jitsu (currently holding a purple belt) and Muay Thai. I relish the adventure of embarking on extended backcountry canoe camping trips during the summer months. While the pandemic left me with ample time at home, I found a new interest in woodworking, which allowed me to explore my creativity. I take great pleasure in working with my hands, be it crafting something from scratch or tackling repairs in the laboratory during my Ph.D. studies or at home.

Education

Ph.D. Physics; University of Toronto: Dec 2022 (completed)

  • Thesis: Next Generation Ultrafast Electron Diffractometer, Link to thesis

M.Sc. Physics; University of Toronto: 2013-2014

B.Sc., University of Toronto: 2008-2013

  • Specialist Physics & Major Human Biology

Experience

AI Engineer, Brave Career - Freelance (Jan 2025 - Current)

  • Build AI agent for conducting mock interviews to help clients prepare for job applications
  • Create automatic data pipeline for Supabase PostgreSQL database
  • AI agent can conduct interview, evaluate interview performance, and help clients improve interview performance
  • Use LiveKit for realtime audio and video interaction with AI agent
  • Build resume parser with Landing AI api (agentic vision-based document parser)

Applied Scientist, Redlen Technologies (Oct 2024 - Current)

  • Develop and refine physics-based models of semiconductor materials, studying carrier dynamics, space charge effects, and material defects - work with a small agile team of engineers and scientists.
  • Build and execute test methods to characterize semiconductor devices via electro-optic properties, analyzing results to improve device performance.
  • Root cause analysis of our persistent performance issues in our detector product, and implement solutions.
  • Hands on experience in free-space optical alignment, optomechanics, and optical components.
  • Software engineering: Code Python scripts for automated data acquisition and analysis, maintain proper version control and documentation with GitHub. Hand over packaged software for other users.
  • Project Management: Communicate with vendors, understanding technical details of hardware before purchasing. Create detailed parts lists for project proposals. Assess risk of failure in projects.
  • Write reports and present project plans, proposals, and results for technical and business audiences.
  • Design: Proficient in CAD software such as SolidWorks, Onshape - design custom hardware for lab work.
  • Quality Control: Refine apparatus to pass Gauge Repeatability and Reproducibility standards.
  • Data Science: Create data analytics dashboards with Python Streamlit and JMP. Implement cleaning + extraction data pipelines of raw data. Occasionally create MATLAB, COMSOL, and Monte-Carlo simulations.

AI/LLM Developer, Aggregate Intellect - Contract (Jun 2023 - Oct 2023)

  • Link to app: https://genisa.vercel.app/
  • College admissions chatbot helper: Scraped college websites for admissions details and program specific information using Python Scrapy library
  • Created conversational chat interface that queries from scraped information and SQL database, to help international students find ideal programs and specific college application requirements, built with latest LLM integration packages in Langchain. Details reported here.
  • MLOps: deploy and monitor applications, constantly making improvements based on client’s feedback.
  • Contribute to community open-source project Sherpa, AI agent embedded in Slack for reasoning and answering queries

Machine Learning Engineer, Branchy Solutions - Contract (Dec 2022 - May 2023)

  • Led research on the latest ML tools for table extraction
  • Created ML product that detects and extracts table information from documents using transformer-based object detection (DETR)
  • Developed and deployed a Streamlit application for automated table extraction
  • Helped clients save thousands of hours in manual labor through automation

Research Assistant, University of Toronto (Sept 2015 - Dec 2022)

  • Processed and cleaned raw data from ultrafast electron diffraction experiments via SQL and Python
  • Found novel insights in data to convey the scientific findings of our experiment
  • Prepared detailed data visualizations with Python for publication in a scientific journal
  • Wrote comprehensive reports on my experiment, data processing steps, and analysis for publication
  • Presented my research to both public and technical audience on various occasions, e.g. global scientific conferences, local university committee of professors, public speaking competitions
  • Rapidly learned new tools and theories required for conducting successful experiments in research Led a large-scale project involving multiple collaborators across the world (details written in my thesis)

Teaching Assistant, University of Toronto (Sept 2015 - Dec 2022)

  • Taught Python programming and Data Analysis to undergraduate physics students
  • Developed and delivered both in-person and virtual course materials
  • Mentored students in scientific computing and data analysis techniques

Head of Data Analytics, HD-RGB (June 2016 - June 2022)

  • Co-founded a startup for modifying older game consoles to output high-definition graphics
  • Created an ETL pipeline for sales and supply cost data - link to spreadsheet
  • Analyze data for market insights and to drive revenue growth and profit

Certifications and Courses