Education

Technical Experience

Apple - Software Engineer - Level 3

February 2025 - PRESENT

  • Designed and shipped AI-powered features across multiple major consumer software platforms, spanning several OS releases
  • Led end-to-end development of a multi-agent LLM pipeline including model integration, prompt engineering, tool/context infrastructure, and content safety filtering
  • Built retrieval, planning, and evaluation infrastructure for agentic search systems, and drove reliability improvements}

Rutgers University - NSF Fellow & Graduate Research Assistant

January 2019 - January 2025

  • Conducted computer vision and machine learning research in the lab of Professor Kristin Dana
  • Researched socially cognizant robotic visual navigation and latent space representation learning funded by the Reality Aware Networks NSF Grant
  • Researched unsupervised learning of social behaviors for pedestrian trajectory prediction funded by the SOCRATES (Socially Cognizant Robotics for a Technologically Enhanced Society) NSF NRT grant
  • Researched hierarchical and multi-scale reinforcement learning for visuomotor skills and the intersection of Feudal Reinforcement Learning and Autonomous Vehicles under a grant from Lockheed Martin
  • Other Work in vision-based, real-time cranberry albedo analysis for crop ripening predictions, overheating risk analysis, and high throughput phenotyping

Apple - PhD Storytelling Intern

May 2024 - August 2024

  • Introduced emotional consistency to and increased the diversity of the memory creation pipeline with prompt tuning
  • Chosen out of the entire pool of interns to presented their summer project to the SVP of Software Engineering

Apple - PhD Storytelling Intern

May 2023 - August 2023

  • Led a cross-team effort that incorporated multiple device systems into the photos app for memories
  • Researched factors contributing to a users' connection to their photo library

Apple - PhD Storytelling Intern

May 2022 - August 2022

  • Wrote production level Objective-C code for the memories feature of the photos app
  • Increased personalization of the memories selection process using multimodal signal fusion
  • Networked across company departments to define project requirements and integrate multiple data streams

Nvidia - Deep Learning Intern

May 2021 - August 2021

  • Created a transformer based semantic segmentation oracle network for labeling previously unseen images
  • Reduced dataset labeling costs companywide by integrating the generated pseudo labels into existing datasets

SRI International - Computer Vision Intern

May 2020 - August 2020

  • Developed baseline agents for the Darpa Machine Common Sense project
  • Created an agent that uses graph networks and abductive reasoning to motivate environment exploration

Rutgers University - Robotics & Computer Vision Guest Lecturer

November 2021 - November 2021

  • Taught a class of 50 students about socially cognizant robotics and pedestrian trajectory prediction
  • Demonstrated the importance of interdisciplinary research in creating more complete and long-lasting technical solutions

Rutgers University - Robotics & Computer Vision Guest Lecturer

November 2019 - November 2019

  • Explained the concepts of hierarchical reinforcement learning to a class of 50 students
  • Demonstrated how to apply these concepts to the field of computer vision with autonomous driving

Rutgers Honors College Maker Space - Manager

August 2016 - May 2019

  • Assembled and mastered the use of an X-carve engraver, 3-D printers, vinyl cutter, and sewing machine
  • Created a system for keeping track of 200+ inventory items when they are checked out
  • Assisted students and faculty in the use of the machines and the creation of projects

Rutgers University - Astronomy Research Assistant

June 2016 - January 2019

  • Studied the role of dark matter and HII regions in galaxy formation
  • Used Python to analyze and manipulate galaxy formation simulation data

Bank of America - Technology Analyst Intern

June 2018 - August 2018

  • Used machine learning principles and sci-kit learn in python to create a predictive model for stock market trades
  • Created a pipeline for data cleaning and prediction result interpretation in python

Bank of America - Technology Analyst Intern

June 2017 - August 2017

  • Created a regression test for their trade reporting system using python
  • Followed the regression test through the SDLC including analysis and release

Bank of America - Front End Development Intern

June 2015 - August 2015

  • Modified 2 GUIs for an in-house market analytics program using ASP.Net, C++, HTML, and Javascript
  • Followed 3 software projects through the SDLC

Leadership Experience

New York University - NYC Vision Day 2024 Speaker

April 2024 - April 2024

  • Presented my research to 200+ peers on "Feudal Networks for Visual Navigation" followed by a poster session
  • Networked with industry leaders and experts and discussed future research avenues

Microsoft and the Maryland Robotics Center - Microsoft Future Leaders in Robotics and AI Seminar Series Speaker

March 2024 - March 2024

  • Presented my work on "Feudal Networks for Visual Navigation" in a nationwide online seminar

Rutgers University / University of Alabama - The Legacy Program Guest Speaker

January 2024 - January 2024

  • Spoke to program students about my journey to becoming a PhD candidate in computer vision
  • Answered the students' questions about college, the tech field, and beyond

Rutgers University School of Engineering - Congress Visit Keynote Address

August 2021 - August 2021

  • Addressed Congressman Frank Pallone, Secretary of Commerce Gina Raimondo, and the general public in person and online
  • Spoke on the importance of my research, the benefits of socially cognizant robotics over regular robotics research, and how we can plan for a better technological future

Rutgers University - Novice 2 Expert Club Founder

January 2021 - December 2022

  • Started club for students to teach each other key robotics concepts in a non-intimidating environment
  • Organized club events, recruited student teachers, taught modules, and coordinated with university faculty

Rutgers/HTHS - High Tech High School Mentorship Program Mentor

September 2019 - January 2021

  • Mentored two female, high school seniors weekly in Professor Kristin Dana’s research lab at Rutgers University
  • Created and facilitated programming to help them learn computer vision and machine learning techniques

Theta Tau - Omicron Delta Chapter - Treasurer

December 2017 - December 2018

  • Managed the budget and supervised the collection of dues for the 2018 calendar year
  • Collaborated with the different chairs to come up with a fiscally feasible spending plan

Theta Tau - Omicron Delta Chapter - Dance Marathon Liaison

September 2017 - March 2018

  • Organized fundraising events for the team members to reach their charity goals
  • Facilitated communication between the Dance Marathon main offices and the Omicron Delta chapter of Theta Tau

Skills

Computer Vision
5 / 5
Socially Cognizant Robotics
5 / 5
Linux
5 / 5
Microsoft Office
5 / 5
Python
5 / 5
Claude
5 / 5
Deep Learning
4 / 5
Machine Learning
4 / 5
Anaconda
4 / 5
HabitatSim
4 / 5
Numpy
4 / 5
OpenCV
4 / 5
Pandas
4 / 5
Pytorch
4 / 5
Torchvision
4 / 5
Swift
4 / 5
Human-Computer Interaction
3 / 5
Temporal Sequence Modeling
3 / 5
Git
3 / 5
Matplotlib
3 / 5
Scikit-Learn
3 / 5
Objective-C
3 / 5
Pillow
2 / 5
MATLAB
2 / 5
CometML
1 / 5
C++
1 / 5
HTML + CSS + React
1 / 5
Java
1 / 5