Christopher D. Gomez
Current Security Clearance: Secret
❖ cdgomez@umass.edu ❖ 857-383-9973 ❖ linkedin.com/in/cdgomez ❖ www.cdgomez.com

WORK EXPERIENCE

MIT Lincoln Laboratory             Lexington, MA

Data Scientist/Machine Learning (ML) Intern                       2023

• Optimized the performance of convolutional neural network (CNN) models leveraging a customized variant of the Apache tvm compilation framework and TensorFlow Lite (TFLite).

• Simulated on-device ML training of convolutional neural networks to compare quantization techniques.

• Experimented on the generative limitations of the MIT Han Lab’s TinyEngine code generator system.

• Generated memory footprint visualizations for CNNs.

UMass Amherst Simulations (DREAM) Lab         Amherst, MA

Factory Production Simulation for Graph Metamodeling             2022

• Created Python code to generate and simulate synchronized queueing network (SQN) graphs, modeling factory production lines with a Generalized Semi-Markov Process (GSMP) formalization framework.

• Utilized sample graph structures as inputs and corresponding SQN simulation outputs for graph neural network meta-modelling (GrNMM) software to generate point estimates and i.i.d. samples.

Precisely Inc. Burlington, MA

Data Scientist/Machine Learning Intern                 2021

• Developed and presented project roadmaps on seamlessly integrating ML into the existing software architecture.

• Frequently took on a leadership role within the Agile/Scrum team, overseeing the aggregation and annotation of spatial data from diverse sources across various company sectors using a jointly developed .NET script.

• Processed extensive geospatial data while implementing support vector machine and neural network classifiers.

GRADUATE COURSEWORK (GPA 4.0)

Neural Networks Intelligent Visual Computing Natural Language Processing

Reinforcement Learning Algorithms for Data Science Systems for Data Science

Simulations and Causal Modeling Advanced Software Engineering Human Computer Interaction

AWARDS

National GEM Fellowship Recipient Provost Undergraduate Research Fellowship Computer Science Fellowship

Bay State Scholarship Silicon Valley CS Alum Scholarship CICS Fellowship

Flagship Award David Mix Barrington Scholarship Dean's List

SKILLS & INTERESTS

• Skills: PyTorch; machine learning; deep learning; reinforcement learning; neural networks; simulations; Python; Git; R; MATLAB; Java, SQL; sci-kit learn; numpy; pandas; matplotlib; NetLogo; data science; data analysis; data management; presentations

• Interests: comedy; hiking; spelunking; scuba; sci-fi/fantasy; Monty Python; 70s rock; garage rock; astronomy; Catan; environmental conservation; xkcd; board games; Leonard Cohen; Colombian coffee; every tea imaginable; baking; volunteering

OTHER EXPERIENCE

• Commonwealth Honors Scholar;  Nu Rho Psi Honors Scholar

• Relevant Biology/Neuroscience/Psychology coursework: Cellular & Molecular Biology; General Genetics; Behavioral Neuroendocrinology; Behavioral Neuroscience; Developmental Psychology; Method Inquiry in Psychology; Learning and Thinking; Organic Chemistry I, II, and lab; Introductory Bio 1, 2, and lab

• Teacher Assistant (TA) for CS 526 Scalable Web Systems 2022

• Academic Tutor (Computer Science/Biology)       2018 - 2022

• Residential Assistant: Oversaw learning and community development initiatives for 300+ students       2018 - 2021

• Group Leader for UMass ACM’s Machine Learning Research Club.       2019 - 2020

• Headed 14 students to find and review recent research within the machine learning field. 

• Taught 6 newcomers introductory machine learning models and foundational data science techniques.

• House Council President       2018 - 2019