Dylan Epstein-Gross

Associate Consultant

Tallahassee, Florida, United States2 yrs 7 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Strong background in robotics and AI research.
Experience with quantitative finance and machine learning.
Proven ability to lead technical projects and teams.

Stackforce AI infers this person is a Data Science and Robotics specialist with a focus on Machine Learning applications.

Contact

Skills

Core Skills

Quantitative ResearchReinforcement LearningTeachingQuantitative FinanceComputer VisionSoftware DevelopmentDeep LearningMachine LearningData StructuresRoboticsData ScienceData Analysis

Other Skills

Academic WritingAlgorithmsAmazon Relational Database Service (RDS)Analytical SkillsArduPilotBloomberg TerminalBootstrapC (Programming Language)Cascading Style Sheets (CSS)Cloud FirestoreCommunicationDebugging CodeDjangoEngineeringExpress.js

About

I love problem-solving through mathematics and computer science, and hope to apply these skills to industry or research. I am especially interested in robotics and artificial intelligence, and have experience with robotics research in a university setting. However, I am constantly working to further my experience and knowledge in all areas of computer science, as I greatly enjoy the field and the positive impact it can surely have on society.

Experience

2 yrs 7 mos

Total Experience

1 yr 6 mos

Average Tenure

1 yr 1 mo

Current Experience

Jane street

Quantitative Research Intern

May 2025 – Present · 1 yr 1 mo · New York, United States · On-site

Research intern applying internal Python ML tools to modeling and trading of fixed income products.

PythonMachine LearningQuantitative Research

Princeton university

Research Assistant

Sep 2024 – Present · 1 yr 9 mos · Princeton, New Jersey, United States · Hybrid

Undergraduate student researcher in Professor Chi Jin's group studying Reinforcement Learning with Execution Feedback. Theoretical research on Monte Carlo Tree Search and majority-vote inference methods, as well as empirical research into Outcome/Process Reward Models, for finetuning LLMs to surpass o1 on MATH datasets.

Reinforcement LearningLarge Language Models (LLM)Monte Carlo modelingResearchStatistical Inference

Susquehanna international group, llp (sig)

Quantitative Trading Intern

Jun 2024 – Aug 2024 · 2 mos · Bala-Cynwyd, Pennsylvania, United States · On-site

Excelled in intensive education on options theory, game theory, statistical forecasting, etc. for several hours per day
Worked on Global Delta Specials team to develop statistical and ML models for predicting stock market responses to macro events and computing effective orders against adversarial traders

ForecastingQuantitative FinanceQuantitative ResearchBloomberg TerminalOptions

Supervised program for alignment research

Student Researcher

Feb 2024 – Jun 2024 · 4 mos · Remote · Remote

Worked with Dr. Gabriel Recchia and other members of program to develop pipeline for producing annotations of question-answering screen recordings using LLM tools. Contributed to project by using OCR, GPT-4 Vision API, and Python data processing tools to identify and label events in the videos. Wrote large portions of and presented final paper and poster to the SPAR symposium, titled "Constructing AI-driven tools for screen recording analysis to facilitate LLM agent capabilitye valuations".

Optical Character Recognition (OCR)Computer VisionLarge Language Models (LLM)OpenAI APIAcademic Writing

University of washington school of oceangraphy

Summer Research Intern

Jun 2023 – Mar 2024 · 9 mos · Seattle, Washington, United States · On-site

Deep Learning Research Intern for Professor Georgy Manucharyan, designing ConvLSTM model in Tensorflow for predicting crucial missing values of Sea Surface Temperature that will inform maps of global ocean currents and ultimately aid in understanding climate change.

Python (Programming Language)TensorFlowData ScienceDeep LearningKeras

Ticket wallet, llc

Machine Learning Engineer Intern

Jun 2023 – Mar 2024 · 9 mos · Princeton, New Jersey, United States · Remote

Developed machine learning framework and data pipeline for automated ticket-selling with Tensorflow and Apache Spark integrated into AWS Sagemaker; contributed to app published on App Store in Fall 2023 and still in development (https://apps.apple.com/us/app/ticket-wallet/id6463562809).

Machine LearningPython (Programming Language)AlgorithmsTensorFlowData Science

The mcgraw center for teaching and learning, princeton university

Computer Science Tutor

Feb 2023 – Present · 3 yrs 4 mos · Princeton, New Jersey, United States · On-site

Peer tutor for COS 217 (Computer Systems), ORF 245 (Fundamentals of Statistics) and general R and C programming. Help individuals understand concepts and organize larger study halls.

R (Programming Language)ProbabilityStatisticsTeachingC (Programming Language)Communication

Princeton university computer science

Undergraduate Course Assistant - Grader - COS 226 (Data Structures and Algorithms)

Feb 2023 – Mar 2024 · 1 yr 1 mo · Princeton, New Jersey, United States · On-site

Grader for Data Structures and Algorithms (COS 226)
Responsibilities include grading students' programming assignments and providing concise and constructive feedback.

Data StructuresAlgorithmsJavaGradingDebugging Code

Princeton university

Research Assistant

Feb 2023 – Mar 2024 · 1 yr 1 mo · Princeton, New Jersey, United States · On-site

Undergraduate Research Assistant in Dr. Anirudha Majumdar's Intelligent Robot Motion Lab. Working with PhD student to develop and train monocular depth perception algorithms and wind-aware motion planners for CrazyFlie and Tello quadcopters via novel deep learning methods. Paper submitted to Princeton's Computer Science Junior Independent Work program and poster presented at 2024 Princeton Research Day -- "FutureFlow: A Deep Learning Approach to Short-Term Wind Gust Prediction and Control".

Machine LearningRoboticsPython (Programming Language)Deep LearningComputer VisionTime Series Analysis

Quantcap

Data Science Intern

Jan 2023 – Jan 2023 · 0 mo · Cambridge, Massachusetts, United States · Remote

Winter 2023 Intern, worked in small group to develop 1-D CNN model for short-term stock market prediction and portfolio allocation; presented overall returns of >30% to company CEO

Machine LearningPython (Programming Language)R (Programming Language)Data ScienceScikit-Learn

Hack4impact

Technical Lead

Sep 2022 – May 2024 · 1 yr 8 mos · Princeton, New Jersey, United States

Trained via 7-week MERN stack bootcamp. Have led small undergraduate team in weekly sprints to develop full-stack data visualization solution with React, Bootstrap, Flask, for partnered non-profit NJ Tree Foundation.

Software DevelopmentBootstrapReact.jsGitNode.jsCascading Style Sheets (CSS)+3

The daily princetonian

Junior Software Engineer

Sep 2022 – Mar 2024 · 1 yr 6 mos · Princeton, New Jersey, United States

Worked with team to maintain technical infrastructure and develop new features of online newspaper. Managing MERN stack app hosted on Google Firebase. Projects included database migration from Postgres to RDS, crosswords page in React, and Flask backend for business website.

FlaskSoftware DevelopmentDjangoReact.jsGitCascading Style Sheets (CSS)+5

Florida state university young scholars program

Student Researcher

Jun 2021 – Jul 2021 · 1 mo · Tallahassee, Florida, United States

Daily, intensive classes on Python programming, probability and simulation, and data science research techniques. Culminated with research project in 5-person group using data collected from FSU Geophysical Fluid Dynamics Institute -- presented findings to 60+ FSU faculty in final research symposium.

Data AnalysisJulia (Programming Language)NumPyResearchPandas (Software)

Florida state university

Research Intern

Oct 2019 – Jun 2022 · 2 yrs 8 mos · Tallahassee, Florida, United States

Aided risk-based robotics research by helping with algorithm development, testing, and visualization. Helped co-author conference paper accepted by International Conference on Robotics and Automation (ICRA).

MATLABArduPilotPython (Programming Language)OptimizationNumerical SimulationGit+1