Yash Potdar

   

About Me ✌🏽

Hey! I'm Yash Potdar, a software engineer based in the San Francisco Bay Area who builds thoughtful, scalable solutions. I bring a rare blend of technical depth and product intuition, having shipped code, analyzed data, and shaped features across the automotive and restaurant-tech industries at small to mid-size startups.

My proven experience spans software engineering, data science, and product management with a bias toward shipping products that solve customer needs.

I am a recent graduate from Georgia Institute of Technology, where I earned my Masters in Computer Science (Specialization in Artificial Intelligence). I have gained experience in Agentic AI, Large Language Models (LLMs), Deep Learning, Digital Marketing, Robotics, and Cybersecurity through my course and project work.

Previously, I graduated summa cum laude from UC San Diego with a double major in Data Science and Cognitive Science: Machine Learning. My academic journey sparked a deep passion for teaching and working with students. I spent much of my time at UCSD as an Instructional Assistant for several undergraduate data science courses and a workshop lead in the Data Science Student Society. Check out my workshops!

On a personal note, I enjoy traveling (over 20 countries so far!), experiencing new cultures through food, and playing/following sports (go Niners and Warriors)!

The opportunity to use Data Science and AI to solve complex problems and make a positive impact drives me. I’m always looking to learn something new and connect with others!

Work Experience 🧑🏽‍💻

Owner.com 👨‍🍳📈
San Francisco, CA

Software Engineer
2026 - present

• Enabling restaurants owners to drive repeat orders, engagement, and retention through native app and online ordering experiences.
• Collaborating across engineering and product teams to deliver impactful features relating to Guest Marketing and improve platform reliability.

Rivian ⚡ 🚙
Palo Alto, CA

Software Engineer II, Vehicle Merchandising
2023 – 2026

• Designed and implemented an automation pipeline allowing the Merchandising organization to make sales changes efficiently and at-scale, allowing for a more seamless customer purchase and configuration experience.
• Collaborate cross-functionally with product managers to define key milestones, identify service gaps, and coordinate with downstream teams and engineers for effective resolution.

Software Engineer Intern, Core Services
Summer 2022

• Architected and deployed a production-level service facilitating the settlement of vehicle transactions at scale.
• Improved the customer experience by streamlining internal communication pertaining to vehicle deliveries.
• Wrote documentation and wrote a tutorial to hand off my project to future developers, explain my design decisions, and identify areas of extension for other teams.

Halıcıoğlu Data Science Institute 📊 🧑🏽‍🏫
La Jolla, San Diego, CA

Data Science Instructional Assistant (IA)
2020 – 2023

• Led 9 weekly discussion sections for a class of 120 undergraduate students, where I walked through challenging questions from the weekly programming assignment in order to solidify course concepts.
• Held weekly office hours to clarify Python and statistics concepts from lectures and guide students through programming assignments.
• Designed and created programming assignments and a final project to assess students’ understanding of course concepts.
• Served as an Instructional Assistant for DSC 10 5 times and for DSC 80 2 times.

HUGS (Startup) 🏡
San Diego, CA

Developer
2021 - 2022
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Software Engineering Intern, R&D
2021 - 2021

• Created wireframe prototypes and design language documents for the product, which is a housing portal that aims to bridge the gap between international students and landlords.
• Served as one of the initial Engineers and designed features for the housing platform.

LogicMonitor ☁️ 🤖
Santa Barbara, CA

Data Science Intern, R&D
Summer 2021

• Researched and developed an early-stage feature on LogicMonitor’s platform for root cause analysis of alerts.
• Wrote a Confluence tutorial in order to explain to future developers the usage of the application, how I developed it, and areas of improvement so developers can continue working on the product.

Projects 🧑🏽‍🍳

• Deep Learning for Pulmonary Edema Classification using Image Segmentation 🫁 🫀
  • Trained multiple convolutional neural network (CNN) architectures in order to diagnose pulmonary edema from chest X-rays.
  • Utilized transfer learning with a lung and heart image segmentation network in order to understand the impact of segmentation.
  • Worked closely with a radiologist from UC San Diego Health for two quarters during this Data Science Senior Capstone project.
  • Poster, Website, Paper
• Facebook Redesign 🧓🏽 #️⃣
  • Conducted a UX case study for a Facebook redesign aimed to increase accessibility for the 65+ community and reduce sentiments of isolation and depression among this demographic.
  • Interviewed members of the 65+ community in order to understand their core needs, pain points, and values.
  • Designed high-fidelity and wireframe prototypes of the app redesign.
  • Website
• Generating Sherlock Holmes Passages with Recurrent Neural Networks 🕵️‍♂️ 🗒️
  • Explored the potential of recurrent neural networks (RNNs) to generate literature using a sample corpus.
  • Tested and evaluated several RNN architectures with tuned hyperparameters.
  • Paper, Notebook
• NYPD Police Complaint Classification Model 🚔
  • Developed a DecisionTreeClassifier to predict whether civilian cases against officers in the New York Police Department were substantiated.
  • Evaluated the parity of the classifier using the True Positive Parity measure to assess whether the model had systematic biases.
  • Utilized scikit-learn transformers and pipelines to engineer features and develop the algorithm.
  • Notebooks: Permutation Test, Classification ML Model
• MLB Pitch Classification ⚾
  • Utilized supervised ML algorithms (Decision Trees and K-Nearest Neighbors) to solve the multi-label classification problem of classifying pitches as Changeups, Curveballs, Fastballs, or Sliders.
  • Website

Honors & Certifications 🏅

Jeffrey L. Elman Award for Academic Excellence
2023

• “In honor of the Halicioglu Data Science Institute’s co-founder, Dr. Jeffrey L. Elman, whose innovative research, generosity and spirit significantly shaped UC San Diego and the Halicioglu Data Science Institute, this is awarded to the graduating student who has achieved academic success and who has positively contributed to the Data Science community at UC San Diego.”

Summa Cum Laude (Highest Honors)
2023

• Graduated in the top 2% of UC San Diego’s class of 2023 based on cumulative GPA (3.979/4.000)

NVIDIA Agentic AI Certifications
2025

• Building RAG Agents with LLMs
• Rapid Application Development with Large Language Models (LLMs)
• Building LLM Applications With Prompt Engineering

University Organizations 🎓

Triton Consulting Group (TCG) 🕴️

VP Human Capital Management (HCM)
2022 - 2023

• Planned social events, recruitment events, club retreats, study group sessions, and more to build a sense of community within TCG.
• Implemented strategies to foster a culture of inclusivity and increase retention within the organization.

Project Manager
2020 - 2022

• Led the first iteration of a data analytics project for predicting churn using Machine Learning and analyzing ROI for a healthcare firm, which became a recurring client for TCG.
• Led a team of 5 Associates and worked directly with the CFO in order to successfully deliver a key project within scope, timeline, and budget.
• Conducted primary and secondary research and created a long-term marketing plan for UCSD’s Price Center.

Data Science Student Society (DS3) 📊

Data Science Workshops

Professional Development Workshops Lead
2021 - 2022

• Led the development of 2 workshops dedicated to career development for undergraduate members of the Data Science Student Society.
• Delivered workshops to prepare students for internship recruitment, such as resume reviews, networking sessions, or Leetcode workshops.

Kaggle Workshop Committee Member
2020 - 2021

• Delivered 6 workshops on industry-relevant data science topics such as Pandas, Scikit-learn (sklearn) modeling, pipelines, and anomaly detection.
• Created content with the other Workshop Committee members in order to engage students interested in data science and enhance their learning.

ACM Cyber 🥷🏼 💻

Director of Finance & Logistics
2020 - 2021

• Coordinated club events, which include workshops, networking events, seminars, and socials.
• Interfaced with other ACM Cyber Board members to seamlessly hold virtual events, due to the COVID-19 pandemic.
• Cultivated relationships with industry contacts for sponsors and mentors for organization members.
• Managed sponsorships and fundraising to ensure organization operations run smoothly.
• Secured funding to cover the expenditures from competition registration, event organization, and travel.

Teaching discussion! 🧑🏽‍🏫