Dylan Nichols

I am currently contributing as a Data Engineer Intern with the Rochester Red Wings, where I focus on building and improving data pipelines that clean and transform raw information into a usable state for downstream analysis and operations.

My work includes creating robust transformation logic and supporting the team's data infrastructure in AWS, with a focus on effectively managing the club's customer database and enabling more reliable, scalable data access.

This role has strengthened my practical experience with data engineering workflows, cloud infrastructure, and the real-world operational needs of a data-centric business environment.

At Excellus BlueCross BlueShield, I worked with stakeholders to design and build a 9-agent LLM pipeline in LangGraph that automates insurance appeal evidence gathering to support medical decision-makers. The system quickly surfaced policy criteria alongside supporting evidence and highlighted relevant source documents with citation-level traceability.

I also engineered an intelligent document processing pipeline that combined PyMuPDF extraction with a Databricks OCR fallback for scanned PDFs, improving ingestion speed and reliability for medical documentation.

To deliver the full product, I built and deployed the end-to-end web application in Flask on Databricks Apps, including authentication with bcrypt and Unity Catalog, REST APIs for document upload and ingestion, real-time pipeline tracking, and a multi-tab review interface for sorting policy criteria and managing reviewer workflows.

My team and I are working with the RIT SPORC Lab to research a phenomenon in LLM fine-tuning which leads to safety degradation when fine-tuned.

This is a critical issue in the field of LLM safety, as it suggests that fine-tuning can inadvertently make models more vulnerable to adversarial attacks.

We are not the first people to observe this phenomenon, and because of the work that has already been done by the SafeDelta team, we have a strong starting point for our research, and a tool that we hope to build on to further understand this issue and how to mitigate it.

**Pictures from the SafeDelta paper showing the safety degradation phenomenon.**

I had the opportunity to step into a Team Lead role for a 5-person software engineering group. Together, we built U-fund, a full-stack donation platform.

I was responsible for the Agile lifecycle—coordinating our meetings, managing deadlines, and keeping the team aligned through four major sprints.

I was also the primary developer for our Angular front-end. I designed and built out five core pages, establishing a coherent UI/UX, and successfully integrated them with our Java backend.

The best part of the project was seeing our team dynamics improve sprint after sprint, resulting in faster delivery times and a much higher-quality platform.

Our project was recognized by many to be the most impressive in our class, receiving accolades from peers and instructors.

We worked so well as a team that we even ended up going to play basketball together after class one day, which was a testament to the team chemistry we built over the course of the project.

Someone described a well-built physics engine to me as 'art'. My immediate thoughts were: That's kind of true, and, I wonder if I could build one. So, I did.

What you are looking at is a real-time 2D physics engine that I built entirely from scratch in Python. Instead of taking the easy route and using a pre-built physics library, I wanted to understand the raw math. I wrote the core mechanics myself—modeling rigid-body motion, gravity, and elastic collisions using pure vector math and time-step integration.

Every object on this screen maintains its own state and evolves millisecond-by-millisecond based on real Newtonian equations, simulating energy loss and boundary constraints until they naturally come to rest. The engine is heavily optimized, capable of handling approximately 10,000 independently simulated entities and their collision detection before experiencing any significant performance drops. It was an incredible exercise in object-oriented design and numerical stability, and I'm currently working on extending it to include spatial partitioning and object-to-object collisions.

Technology is only as powerful as the people who have access to it. Recently, I traveled to the Philippines on a humanitarian mission focused on closing the digital divide, and providing necessary help to the local communities.

Working alongside a dedicated team of eight, we partnered with local politicians and educators to build a sustainable computer technology program from the ground up. My hands-on work involved refurbishing three school computer labs and engineering their local networks and servers to ensure the students had a reliable infrastructure.

Beyond the hardware, the most rewarding part was stepping into the classroom to deliver digital literacy training to over 40 high school students and teachers, ensuring they had the skills to maintain, utilize, and grow the program long after we left.