Experience

Resume

PDF CV

Academics

• [UC Berkeley] M.S. in Electrical Engineering & Computer Science (Expected May 2022)
• [UC Berkeley] B.A. in Computer Science. Graduated with Distinction. (May 2021)

Coursework

Below here you can find a selection of relevant classes:

AI/ML/CV: Data Sciences (Data 8, 100), Artificial Intelligence (CS188), Machine Learning (CS189), Deep Learning (CS182), Full-Stack Deep Learning (CS194-80), Computer Vision & Computational Photography (CS194-26)

Other Computer Science: Computational Structures (CS88+CS47A equivalent to CS61A), Data Structures (CS61B), Computer Architecture (CS61C), Discrete Mathematics and Probability (CS70), Efficient Algorithms (CS170), Designing Information Systems (EE16B)

Mathematics and Statistics: Probability for Data Science (STAT140), Linear Algebra (MATH54)

Expertise:

• Business: Data and Business (UGBA 96), Future of Industry/Innovation (INDENG 190)
• Ethics: Data Ethics (DATA 104), Science Technology Society (HIST182A)
• Biology: Introductory Biology (Biology 1AB), Genetics (MCB140)
• Chemistry: Introductory Chemistry (CHEM1A/L), Organic Chemistry (CHEM3A/L)

Teaching

Teaching has been one of the most rewarding experiences I have had at Berkeley.

• Data 8: Data Science
  • Jan 2019 - May 2021 (6 terms)
• CS61BL: Data Structures
  • Summer 2020 (1 term)

Research Experience

• Berkeley RISE (Sep 2020 - Present): Deep Learning Research under Dr. Gonzalez
  • Explainability of Deep Learning Models in Medical Imaging
• UCSF (Dec 2019 - Present): Bioinformatics Research under Dr. Hong
  • Machine-Learning Based Approach to the Risk Assesment of Outpatient Cancer Related Emergency Admissions and Hospitalizations pre-print coming soon
• Whiteman Laboratory (Jun 2018 - Jan 2020): Biology Research under Dr. Whiteman and Dr. Matsunaga
  • Olfactory receptors tuned to volatile mustard oils in drosophilid flies T. Matsunaga, C.E. Reisenman, B. Goldman-Huertas, P. Brand, K. Miao, H. Suzuki, S.R. Ramírez, N.K. Whiteman

Professional Experience

• Monday.com (Fall 2020): ML Consultant
  • Creating Machine Learning Pipeline to Automate Marketing Strategy
  • Data-Driven Recommendations for User Retainment
• PayPal (Fall 2019): Data Science Consultant
  • Data Analysis (NLP) to Improve Employee Engagement
  • Data Engineering for Development of Dashboards

Please let me know if you want to know more about my responsibilities at those companies.

Talks

• Data Ethics
• Linear Regression

Projects (Outdated)

Computer Vision Projects

Feel free to browse through my Computer Vision Portfolio

• Imagine Alignment
• Blending
• Morphing
• Neural Face Detection
• Automatic Image Stitching
• Neural Style Transfer
• Lightfield Camera

Personal Projects

• Project Vejovis: Corona Forecasting
• Restaurant Manager: Online Reservation Tool used by my parents for their restaurant (around 400 person max capacity)
• MRI Alzheimers: Using Neural Networks to predict MRI severity

Other Class Projects

Unfortunately, I cannot publish the source code for academic projects on the internet. If interested in learning more, please contact me.

_{Abbreviations: ML Machine Learning - AI Artificial Intelligence - SWE Software Engineering and Optimization}

• [ML] Data Cleaning and Pandas Online Course (CS189)
• [ML] PyTorch/Tensorflow Course Online Course (CS189)
• [ML] Handwritten Digit Classifier (CS188)
• [AI] Reinforcement Learning (CS188)
• [SWE] Optimization Project (CS170)
• [SWE] GitLet (CS61BL)
• [SWE] BearMaps (CS61BL)
• [SWE] Mandelbrot (CS61C)
• [ML] Uber Ride Share Data Analysis (DATA 100)
• [ML] Spam Classifier (DATA 100)
• [NLP] Trump Tweet Analysis (DATA 100)