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I will be graduating from UC Berkeley in the spring of 2021 majoring in Computer Science. My GPA is 3.86 as of now. Prior to coming at Berkeley, I had always thought of myself as a biologist. During my sophomore year, I fell in love with the intricacies of the field of Machine Learning. Having never coded before, I was intimidated at first yet my curiosity driven by the problems of AI and the excitement powered by the endless possible applications overcame the initial challenges that I faced.


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)


  • 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 has been one of the most rewarding experiences I have had at Berkeley. I have been lucky enough to be part of course staff for the following two classes.

  • Data 8: Data Science
    • Jan 2019 - Present (6 terms)
    • Currently, I am a uGSI (undergraduate student instructor/TA) for one of the largest undergraduate courses at Berkeley having around 1,300 students per semester. The impact of Data Science is enormous and instructing the new generation of leaders in the field is a great honor.
  • CS61BL: Data Structures
    • Summer 2020 (1 term)
    • During the summer of 2020, I had the opportunity to be a 15 hour Tutor for CS61B. Teaching this class, which is more conceptually difficult and hands-on, has shown me the diversity of creativity that all can lead to efficient programming. It also allowed me to more easily understand the thought process behind someone’s code.

Research Experience

  • Berkeley RISE (Sep 2020 - Present): Deep Learning Research under Dr. Gonzalez
    • Explainability of Deep Learning Models used for Lung Diagnoses through Classification and Segmentation
  • UCSF (Dec 2019 - Present): Bioinformatics Research under Dr. Hong
  • Whiteman Laboratory (Jun 2018 - Jan 2020): Biology Research under Dr. Whiteman and Dr. Matsunaga

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.



Computer Vision Projects

Feel free to browse through my Computer Vision Portfolio

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)