
Education
Boston University - Boston, MA
Master of Engineering in Electrical and Computer Engineering
Specialization in Data Analytics
Jan 2024 - Currently enrolled
Texas A&M University - College Station, Texas
Bachelor of Science, Recreation, Park and Tourism Sciences
Certificate in Hospitality Management
Certificate in Tourism Management
December 2020

Skills
Programming & ML: Python, C/C++, PyTorch, TensorBoard, MATLAB, scikit-learn, OpenCV, JavaScript, Web Development, API use
Hardware & FPGA: Verilog, Xilinx Vivado, FPGA prototyping, multimeter/oscilloscope troubleshooting, non-linear microelectronics
Tools & Processes: Git, Linux, Windows, Microsoft Suite, Google Suite, Slack, Manufacturing Execution System (MES) / Tulip
Team work: Effective training, documentation, work instructions, tool maintenance, Kanban, time trials, Kaizen/5S culture, workplace safety

Experience
Curriculum and Self Study
Machine Learning
Transformers, Convolutional Neural Networks, Recurrent Neural Networks, Auto-encoders, Diffusion Models, Graph Neural Networks, Audio Processing, Hyperparameter Optimizers
Dataset selection, Data cleaning, Dataset pre-processing (train, validation, test, randomized order, data-specific operations)
Data Structures and Algorithms
B-Trees, Heaps, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph algorithms, NP-complete analysis, Recurrence, Approximation Algorithms
Current Projects
Transformer based Text-To-Speech model to gain greater experience with transformers, recurrence, and conversion of information using neural machine translation (See home page)
Dual-path Transformer based model for low latency audio enhancement and acoustic modeling

Form Energy
I thoroughly enjoyed this job. I learned a tremendous amount under the guidance of extremely talented engineers, scientists, and technicians. I was invited to work on different teams often because I get excited when there is a challenging problem and opportunity to learn.
Batteries are cool!
Engineering Technician
Aug 2023 - Jan 2024
Coordinated with experiment owners to design and execute custom processes for full and sub-scale components ensuring products meet specifications internally and across team requirements during time-sensitive designs of experiments
Documented and communicated non-conformance reports for all internal products to provide traceability during cell performance
Initiate / facilitate small and large improvement projects for the anode manufacturing area in conjunction with neighboring teams to optimize the workflow constrained by lab space
Resolve build issues on the manufacturing floor and in MES to provide clarity to all teams and stakeholders
Draft and maintain Manufacturing Execution Software (Tulip) applications for anode manufacturing processes in an R&D environment, taking input from experiment owners and stakeholders
Draft and maintain work instructions; perform time trials for new and existing processes to streamline processes

Process Technician
Aug 2022 - Aug 2023
Work with a multi-functional team to produce materials and components needed for experimental work and intended product
Implementation and improvement of manufacturing processes to move from 1 to 10 units per day (10x increase)
Cross-train 11 technicians on various processes to ensure skill coverage of across 24 hour operations resulting in a streamlined work-flow, increased throughput and improved defect flagging and enable transition from manual to semi-automated manufacturing
Communicate with technicians and engineers on logistics, training, potential improvements, failure modes, and process deviations
Collaborated cross-functionally with R&D engineers to translate pilot processes into robust production routines, writing first-draft SOPs for hand-off of duties from other teams to TechOps