# Mihir P. > Software Engineer @ Figma Location: New York, New York, United States Profile: https://flows.cv/mihir Hi, I’m Mihir! I’m an enthusiastic problem solver with a deep passion for continuous learning, building, and collaborating with others. My professional journey has led me to thrive in the dynamic startup space, where I've honed my skills in bringing 0 to 1 products to life while working closely with cross-functional teams. My core interests are in entrepreneurship and the application of AI/ML, where I'm dedicated to turning innovative ideas into solutions that address societal pain points. I'm also driven by the practical use of AI/ML to tackle real-world problems. My interests and passions rapidly grew during my time at Duke University, where I studied Computer Science and Computational Biology & Bioinformatics. I'm eager to connect with like-minded individuals and explore opportunities to make a meaningful impact! If you'd like to chat more, please use https://calendly.com/mihirpaithane/chat to schedule some time. ## Work Experience ### Software Engineer @ Figma Jan 2024 – Present | New York, New York, United States ### Software Engineer @ Convoy Inc Jan 2020 – Jan 2023 | Seattle, Washington, United States ### Undergraduate Teaching Assistant @ Duke University Jan 2018 – Jan 2020 | Raleigh-Durham, North Carolina Area Held weekly consulting hours and graded assignments for CS260: Computational Genomics, taught by Dr. Alexander Hartemink. ### Software Engineering Intern @ Convoy Inc Jan 2019 – Jan 2019 | Greater Seattle Area Interned as a Software Engineer on the Data/Machine Learning (ML) Platforms Team at Convoy. Built a Model-Agnostic Machine Learning Performance Analysis Tool to help: (1) Improve the accuracy of the pre-existing machine learning models used throughout Convoy and (2) Streamline the model iteration process. Built the service using NodeJS, Typescript, React, Python, and AWS. ### Software Engineering Intern @ AdStage Jan 2018 – Jan 2018 | San Francisco, California Worked on two projects related to incorporating machine learning algorithms and other novel algorithms into the backend infrastructure of AdStage's Automate product: (1) Predictive Cross-Platform Ad Performance System: Using proprietary cross-network advertising data of AdStage's customers, I built a predictive modeling system to help customers gain insight into future performance of their advertising data across all platforms (Facebook, AdWords, Bing, LinkedIn, and Twitter). This modeling system was built using PostgreSQL to interface with AdStage's databases and Keras and Tensorflow to develop the machine learning models. The model was built using a stacked LSTM architecture and transfer learning. (2) Budget Reallocation Optimization System: Using proprietary network advertising and budgeting data of AdStage's customers, I am currently building a budget optimization system to help paid lead-gen marketers automate the reallocation of their marketing budget across a selection of entities, ranging from Ads, Ad Groups, and Accounts. The budget optimization algorithm utilizes performance metrics and spend data to assist marketers in spending as close to their budget as possible. In addition, I have assisted with various backend and frontend bug fixes. ### Artificial Intelligence and Neural Network Developer @ Duke University Health System Jan 2017 – Jan 2018 | Raleigh-Durham, North Carolina Area Developing a variety of convolutional neural networks for cancer detection. Creating neural network infrastructure with Python, Tensorflow, and Keras. Worked on anomaly detection for breast calcification detection in mammograms. ### BassConnections Fellow @ Duke University Jan 2017 – Jan 2017 | Raleigh-Durham, North Carolina Area Research fellow for the project on Oculomotor Response as an Objective Assessment for Mild TBI in the Pediatric Population led by Dr. Cameron Bass, Dr. Bruce Capehart, Dr. Jason Luck, Dr. Adam Mehlenbacher, and Dr. Carrie Muh. Developed a machine learning system that utilized convolutional and recurrent neural networks to aggregate and classify proprietary head trauma data recorded from a novel "DASHR" device. Used Python, Tensorflow, and Keras to develop neural network infrastructure. ### Rajagopal Lab - Undergraduate Student Researcher @ Duke University Health System Jan 2016 – Jan 2017 | Raleigh-Durham, North Carolina Area Assisted in Dr. Rajagopal's lab with sterilization and procedures. Performed laboratory procedures such as Miniprep, Maxiprep, Media Prep, and Cell Culture Preparation. ### Medical Shadow @ Student Jan 2015 – Jan 2017 | Various Locations (1) Shadowed Dr. Dishant Shah - Neuroradiologist in Richmond, VA (2) Shadowed Dr. Raj Mehta - Neurosurgeon at CJW Hospital in Midlothian, VA (3) Shadowed Dr. Chester Sharps - Orthopedic Surgeon at Tuckahoe Orthopedics in Tuckahoe, VA (4) Shadowed Dr. Aniket Vadnerkar - Infectious Disease Doctor at BGMC in Phoenix, VA ### Rock Climbing Counselor @ Peak Experiences Jan 2013 – Jan 2016 ### Robotics Teacher @ Academy Of Academic Excellence Jan 2014 – Jan 2016 ## Education ### Bachelor’s Degree in Computer Science, Computational Biology and Bioinformatics Duke University Jan 2016 – Jan 2020 ### High School Degree in High School Degree Science, Math, Engineering, and Technology Center at Mills E. Godwin High School Jan 2012 – Jan 2016 ## Contact & Social - LinkedIn: https://linkedin.com/in/mihirpaithane - Website: https://calendly.com/mihirpaithane/chat --- Source: https://flows.cv/mihir JSON Resume: https://flows.cv/mihir/resume.json Last updated: 2026-03-23