I am a passionate computer scientist with a strong background in full stack development, data science, and research. I enjoy building scalable, high-performance applications and infrastructure that enhance user experience and support data-driven decision making. My experience ranges from developing ML models and managing data pipelines to creating innovative web and mobile applications. I thrive in collaborative environments where I lead teams using Agile methodologies and work closely with clients and stakeholders. I continuously seek to improve and integrate modern technologies such as Docker, Prometheus, and Rust to build robust solutions. Open to relocation, I aim to grow my expertise and contribute to impactful projects.

Dylan Adal

I am a passionate computer scientist with a strong background in full stack development, data science, and research. I enjoy building scalable, high-performance applications and infrastructure that enhance user experience and support data-driven decision making. My experience ranges from developing ML models and managing data pipelines to creating innovative web and mobile applications. I thrive in collaborative environments where I lead teams using Agile methodologies and work closely with clients and stakeholders. I continuously seek to improve and integrate modern technologies such as Docker, Prometheus, and Rust to build robust solutions. Open to relocation, I aim to grow my expertise and contribute to impactful projects.

Available to hire

I am a passionate computer scientist with a strong background in full stack development, data science, and research. I enjoy building scalable, high-performance applications and infrastructure that enhance user experience and support data-driven decision making. My experience ranges from developing ML models and managing data pipelines to creating innovative web and mobile applications.

I thrive in collaborative environments where I lead teams using Agile methodologies and work closely with clients and stakeholders. I continuously seek to improve and integrate modern technologies such as Docker, Prometheus, and Rust to build robust solutions. Open to relocation, I aim to grow my expertise and contribute to impactful projects.

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Experience Level

Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate

Work Experience

Full Stack Developer Intern – CTO Letter of Recommendation at Liminal – Research Lab Management Startup
May 31, 2025 - August 18, 2025
Built DevOps infrastructure for a Dockerized production application, including logging and monitoring with Loki, Grafana, Prometheus, and automated testing using Playwright. Designed and deployed new product features such as REST API integrations for research paper retrieval, developer toast notifications with MongoDB, TypeScript (Svelte), and Python Flask. Improved search functionality by integrating Meilisearch’s federated search, enhancing query relevance and response times. Developed KPI visualizations for investors using PostHog. Transitioned DigitalOcean production environment from Docker Compose to Docker Swarm, boosting scalability, fault tolerance, and API key security.
Undergraduate Data Science Researcher at Purdue University - The Data Mine
December 31, 2024 - August 18, 2025
Collaborated with Pacers Sports & Entertainment to develop ML models analyzing international women’s basketball league performances compared to WNBA, using linear regression, decision trees, and random forests. Led a team of five researchers following Agile Scrum, organizing subteams for data analysis and architecture. Created and optimized data-processing pipelines with SQL and Python in Azure Databricks, including data cleaning, PCA, feature engineering, and visualization.
Contract Mobile App Developer at Boichik Bagels
August 31, 2024 - August 18, 2025
Managed a four-member team coordinating front-end design in Figma, Python back-end development, and client communications. Developed a dynamic data pipeline for a Bagel Finder app with Google APIs and Google Apps Script. Built real-time store locator powered by TypeScript and React Native. Contract was later canceled.
Undergraduate Research Assistant at Purdue University - CYNICS Research
March 31, 2024 - August 18, 2025
Analyzed time series trends using Python (pandas, scikit-learn) and signal processing to develop lossless embedding, recovery, and authentication algorithms for industrial sensors. Presented research to a general audience at the Atoms for Humanity poster session.

Education

B.S. in Computer Science at Purdue University
August 1, 2022 - May 1, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Education, Software & Internet, Professional Services, Media & Entertainment

Experience Level

Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate