# Rohil K.

> Applied AI @ Mercor

Location: San Francisco, California, United States
Profile: https://flows.cv/rohil

"What seems impossible today is the future!"

I strongly believe in the idea that innovative thinking has the potential to unlock what the human race needs to advance, in ways never thought of before, in time periods shorter than expected, and in budgets where affordability is not even a question. 

And one strong driver of innovation is combining interdisciplinary concepts resulting in ideas never witnessed before, like Sports Analytics, that let us leverage the strengths and practices of seemingly different fields within one another. As a senior at UC Berkeley pursuing Data Science and the SCET Certificate in Entrepreneurship and Technology, I'm super excited to create better things for the world using powerful data-driven insights. 

At this moment, I'm an aspiring machine learning engineer who enjoys fast-paced environments and modeling uncertainty through rigorous statistics, with experience in NLP, CV and Unsupervised Learning. 

If you feel your ideas resonate with mine, or even if they starkly don't, feel free to let me know by emailing me at rohilkanwar@berkeley.edu. 

Let's build something amazing together!

## Work Experience
### Applied AI Engineer @ Mercor
Jan 2025 – Present | San Francisco Bay Area
Building RL Environments infra/products for the frontier AI labs

### Senior Software Engineer @ App Orchid Inc
Jan 2023 – Jan 2025 | San Francisco Bay Area
POC Implementation team

### Software Engineer @ Verkada
Jan 2022 – Jan 2023 | San Francisco Bay Area
Business Systems

### Deep Learning Research Assistant @ NHERI DesignSafe
Jan 2021 – Jan 2022
- Built a real-time storm surge detection neural network with an architecture that compresses 32TB of storm activity data and predicts storm activity along coastal regions

### Undergraduate Student Instructor @ UC Berkeley Division of Computing, Data Science, and Society
Jan 2021 – Jan 2021 | Berkeley, California, United States
- Teaching Principles of Data Science (Data 100). Leading discussion and lab sections of 20+ students to teach concepts like SQL, Probability, Bias-Variance, Regularization, Logistic Regression, Decision Trees, Clustering, PCA etc.
- Hosting Office Hours and responsible for content review and HW assignment releases weekly.

### Group Tutor, Data 100 @ UC Berkeley Division of Computing, Data Science, and Society
Jan 2021 – Jan 2021 | Berkeley, California, United States
- Led 4 mini-sections and 1 discussion section, grading HWs and exams, conducting OHs on data analysis, SQL, probability, supervised machine learning and PCA

### Senior Advisor @ Big Data at Berkeley
Jan 2021 – Jan 2021
- Advising the current VP of Consulting on client acquisition, project scoping, people management and consultant development

### VP of Consulting @ Big Data at Berkeley
Jan 2020 – Jan 2021
- Led the projects division of the organization, comprised of 3 Data/ML projects

### Project Manager, Paladin Drones @ Big Data at Berkeley
Jan 2020 – Jan 2020
- Led a computer vision project for Paladin Drones, a situational awareness startup partnering with first responders

### Data Consultant, Bedrock Analytics @ Big Data at Berkeley
Jan 2020 – Jan 2020 | Berkeley, California, United States
- Created #1 product-selling story algorithms for Bedrock Analytics, a data-driven sales consulting org

### Software Engineering Intern @ Salesforce
Jan 2021 – Jan 2021 | San Francisco Bay Area
- Einstein for Service cloud, Article Recommendations team

### Product Manager Intern @ Brightest, Inc.
Jan 2020 – Jan 2020
- Managed product lifecycle of Brightest Communities

### Data Science Intern @ UC Berkeley College of Letters & Science
Jan 2020 – Jan 2020 | Berkeley, California, United States
- Developed an ML solution to predict enrollment hold status from student academic data

### Data Science Intern @ Berkeley SkyDeck
Jan 2020 – Jan 2020 | Berkeley, California, United States
- Engineered content recommendation solution for SkyDeck Linkedin by analyzing marketing & user behavior data

### Founding Engineer, Intern @ Resumewabi
Jan 2019 – Jan 2019 | Berkeley, California, United States
- Pioneered execution of the MVP for Resumewabi, a resume recommendations startup

### Financial Analyst Intern @ EY
Jan 2019 – Jan 2019 | New Delhi Area, India
- Created DCF valuation models using weighted IRRs and created dynamic model dashboards

### Undergraduate Data Science Researcher @ University of California, Berkeley, Haas School of Business
Jan 2019 – Jan 2019 | San Francisco Bay Area
- Analyzed global employment data and built web scraping solution to predict Amazon's organizational hierarchy


## Education
### Bachelor of Arts - BA in Data Science (Domain Emphasis in Economics)
University of California, Berkeley

### SCET Certificate in Entrepreneurship and Technology
UC Berkeley College of Engineering


## Contact & Social
- LinkedIn: https://linkedin.com/in/rohilkanwar

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Source: https://flows.cv/rohil
JSON Resume: https://flows.cv/rohil/resume.json
Last updated: 2026-03-29