Ark Dutt

About Me

Hi! I’m a recent University of Wisconsin–Madison graduate with degrees in Computer Science and Data Science, and a certificate in Economic Analytics. I have a keen interest in exploring new topics in the realm of computer science, data science and machine learning. I am a passionate problem solver, experienced programmer with an interest in Machine Learning and Artificial Intelligence. Passion, a strong work ethic, and attention to details are skills that I use on a daily-basis, which have propelled me to succeed in my work experiences to reach greater future goals.

Contact Details

Ark Dutt
69 W Squire Dr.
Rochester, NY, 14623, USA
(608) 960-5020
arksdutt@gmail.com

Download Resume

Letters of Recommendation

Education

University of Wisconsin-Madison

Computer Science and Data Science (B.S)• May 2025

Coursework: Data Structures and Algorithm, Data Modelling, Computer Architecture, Linear Algebra, Discrete Mathematics, Algorithms, Microeconomics, Intermediate Microeconomic Theory, Data Science Programming, Parallel & Throughput program, Data and Algorithms: Ethics and Policy, Machine Organization and Programming

British School Jakarta

International Baccalaureate• June 2021

Coursework: Maths AA HL, Physics HL, Chemistry HL, French SL, English SL, Economics SL

Work Experience

Fullstack Developer

Mountain House Media • Aug 2025 - Present

I developed full-stack features for a SaaS platform designed to help creative professionals in media production manage and track their ongoing projects, using Next.js, Node.js, Express, and Python; improved workflow efficiency by an estimated 30%. I led the integration of Generative AI capabilities—including image and video generation, background removal, and upscaling—by developing and optimizing Python-based microservices and APIs, enhancing user productivity by 15%. Moreover, I also collaborated with stakeholders to define technical requirements, prioritize feature roadmaps, and mitigate delivery risks, ensuring the platform’s development aligned with user needs and creative workflows.

Software Developer

Wisconsin Center for Education Research • Feb 2024 - Jun 2025

I contributed to the ongoing ONPAR research project with an Agile team of six, focusing on enhancing an educational technology platform using a robust tech stack including C#/.NET, SQL Server, and AngularJS. I developed an automated scoring report system for over 100 science lessons by integrating a new database and collaborated effectively with a diverse group of stakeholders, including developers, designers, and educational researchers, to accurately capture and implement project requirements.

Fullstack Developer

PBS Wisconsin • Sep 2024 - Jan 2025

I led a team of five developers to build and deploy an AR application using React.js, Flask, MySQL, and MindAR, integrating over 300 historical portraits to create a seamless 3D experience that increased user engagement by 20%. To enhance scalability and optimize cross-device performance, I leveraged MindAR and Three.js, reducing load times by 15%, achieving 99.9% uptime, and supporting over 50 monthly active users.

Machine Learning Researcher

Informatics Skunkworks • Sep 2024 - Jan 2025

I conducted machine learning research on renal cell carcinoma (RCC) using CT images, focusing on improving tumor classification accuracy. My work involved the development of convolutional neural network (CNN) models specifically designed to segment over 160 RCC tumors, which contributed to enhancing clinical decision-making processes by providing more accurate and reliable imaging insights. Additionally, I optimized the feature extraction process from CT scans, resulting in increased efficiency of the data pipeline and improved overall model performance. These advancements have the potential to streamline RCC diagnosis and treatment strategies.

Software Engineering Fellow

HeadStarter AI • Jul 2024 - Sep 2024

In this fellowship, I built over five AI applications and APIs using NextJS, OpenAI, Pinecone, and StripeAPI with a 98% accuracy rate. I was also leading a team of more than four engineering fellows where we developed projects from design to deployment using MVC design patterns. Additionally, I was being coached by engineers from Amazon, Bloomberg, and Capital One on Agile methodologies, CI/CD, Git, and microservice patterns.

Software Engineering Intern

TrustedNation • May 2023 - Aug 2023

In this internship, I spearheaded the development of both the backend and frontend components of the corporate website, restructuring the old frontend to a newer version using industry-standard tools like Next.js. This overhaul enhanced user experience and maintainability while improving and optimizing the website's rendering performance by 25%.

Student Technology Trainer

Software Training for Students • Nov 2022 - Jan 2024

I led several workshops and individual sessions focused on educating students in Data Science and Web Development technologies such as Python, R, HTML, CSS, and JavaScript. My dedication to high-quality instruction earned me an instructor rating of 4.80/5. Additionally, I created and refined STS workshop manuals, which led to a 75% improvement in student mastery rates.

Digital Engineering Intern

Adira Finance • Jun 2022 - Jun 2022

In this internship, I managed the database of new automobiles using MySQL and utilized React.js and Node.js to handle both the backend and frontend of the website.

Engineering Intern

Beehive Drones • Jul 2019 - Jul 2019

During this internship, I gained experience on using C, Arduino, and Python to program microcontrollers and microprocessors by applied them to enhancing the performance of Internet of Things (IoT). Additionally, I assembled and tested electronic components of drones, contributing to their performance testing and simulation.

Skills

  • Java
  • Python
  • R
  • SQL
  • HTML5
  • CSS
  • JavaScript
  • TypeScript
  • Swift

Get In Touch.

Connect with me