• Lead weekly recitations for 20+ students, grade assignments, facilitate code reviews, hold weekly office hours.• Teach concepts including functional/object-oriented programming in OCaml/Java, GUI programming, and algorithms.

Summer 2023

• Led embedded software development and electrical design of a cell-balancing and metrics monitoring printed circuit board (PCB) for a 112-cell battery accumulator.

• Improved accuracy of 500+ options' quotes by designing a stream processor in C# providing live metrics & issue isolation.• Published a UDP multicast feed of my stream processor’s analyses for consumption by market-making trading systems.• Developed software in Python to find errors in price computation delaying over 10 million quotes from going to the market.

• Engineered an anomaly detection & behavior prediction system for aircraft with C++ & Google Protocol Buffers. • Built a front-end visualizer for flight data using ReactJS and TypeScript, and generated testing data with MATLAB.• Led onboarding for new full-time employees to continue work on my software system due to its success in testing.

• Spearheaded the implementation of a geospatial wayfinding and localization system for a proprietary AR Platform.• Researched 40+ possible SDK solutions and presented candidates to executives.• Developed an augmented reality (AR) content management/delivery mobile app with C#, Unity, and Immersal AR SDK. • Integrated a REST API with the app for online AR content and designed a touch-based object manipulation interface.

I worked with Dr. Saikat Pal, a professor from the NJIT Department of Biomedical Engineering, on an internship in which I learned and applied methods of segmenting 3D models from CT data, finite element modeling, and compression/torsional analysis of finite element models.— Project Title: “Creating and Analyzing Finite Element Models of Spinal Cord Injured Veteran’s Knees to Predict the Success of using Exoskeletons for Renewing Ambulatory Ability”— Software Learned: Simpleware ScanIP, Altair Hypermesh, Abaqus CAE— Found errors in segmentation software and created a python program workaround— Presented work at NJIT Research Symposium in August 2019

— Worked under the direction of Dr. Hyunah Cho and Dr. Yong Guo— Researched and experimented with the 3D printing of hydrogels in order to create an analgesic capsule.— Made custom G-Code was in order to minimize extrusion time and promote efficiency. — Credited for my role in conducting experiments in the publication "Preparations of Rectal Suppositories Containing Artesunate" (see publications below).