• Developed the backend architecture and connected it to a React frontend for a job search platform for desktop and mobile devices.• Developed the backend codebase utilizing DRY principles applied to over 50 CRUD operations, improving maintainability, increasing modularity, and reducing redundancy. • Created complex queries utilizing Mongo’s multistage aggregation pipelines to transform and retrieve data efficiently.

• Developed the backend architecture for a product information page with a database of over 52 million records. • Performed an ETL process on a dataset by extending Node’s transform class capabilities for streams, allowing for a modular and fine tuned approach in data cleaning. • Optimized complex queries by building responses with Postgres’ JSON formatting functions and binary tree indexing, reducing query times from 60ms to 5ms. • Stress tested system architecture using Loader.io, K6, and CloudFront to pinpoint bottlenecks and scale accordingly. • Launched 7 EC2 instances to horizontally scale and handle load balancing with Nginx, allowing for a throughput of 1,850 RPS from an initial starting point of 750 RPS, an increase of over 145%.

• Developed a dynamic & modern frontend of a reviews section of an e-commerce product page with RESTful API.• Used React stateful components with a responsive UI to bring interactivity with the user and an API, allowing the user to filter, sort, and write reviews. • Utilized React Suspense to reduce time to first meaningful paint from 24s to less than 2s. • Implemented a TDD approach using Jest and Enzyme with a code coverage of 50%

• Developed a mobile friendly personal Dj website to promote my mixes and music I currently listen to, as well as a contact form to reach me via email. • Used progressive media queries to allow the website to dynamically resize between phone and computer screens. • Implemented React Hooks to initialize database queries and renders, based on specific state changes.

• Created bill of materials and routings for NPI frames, enclosures, and assemblies for the semiconductor and medical device industries. Created internal drawings and subassemblies in order to break down complex assemblies for fabrication. • Led the development of a new Class 6 cleanroom and assembly line layout for a multi-ton assembly for the next generation product for one of the top companies in the semiconductor industry. • Designed floor plans and assembly line layouts for complex projects, including a project consisting of over 1000 BoM line items and an assembly line spanning 100,000 square feet. • Implemented automation techniques where applicable, creating multiple scripts in VBA for company Excel workbooks to significantly speed up workflow and minimize mistakes.

• Established laser parameters, CNC speeds, and custom machine setups for prototype parts to allow for a quick machine setup and immediate success in laser cutting. Updated machine code for all production parts in order to reduce cycle times, lowering times up to 50% while retaining high quality. • Improved machine code to reduce variability in visual and dimensional quality for high volume, small parts. These improvements reduced waste and became standard for all parts.• Designed steps in standard machine setup to remove error causing variables, including performing preventative maintenance on CNC stages and spindle, offsetting cutting tools, and using dampers to reduce vibrations • Advised design engineers regarding tool paths and design for manufacturability. Managed and trained staff on how to complete tasks efficiently and effectively in laser cutting, metal cleaning, and quality control.

• Cross trained on all the aspects of the manufacturing facility for biomedical devices, from safely creating highly acidic solutions in the chemical lab to having sharp technical competency in laser cutting and quality control.• Improved upon a manufacturing process for a high volume production part, reducing its lead time by a week. • Designed a layout for a new quality control space, installed CNC machines, and mounted wastewater lines in a new manufacturing facility.

• Enforced policies and procedures for over 30 student employees in a fast paced food establishment. • Served about 700 customers per day that generated over $500,000 a year. • Placed orders following quarterly trends in inventory. • Developed new menu items and performed relevant cost analysis.• Assisted in the launch of a new food service operation on campus.

• Daily tasks included taking customers’ orders, allocating them to their relevant prep stations, processing payments, preparing menu items, preparing ordered food and drinks.• Kept a high standard of cleanliness and sanitation.• Recognized by management for keeping a high standard

• Oversaw the Heavy Vehicle Simulator during its experimentation period, ensuring successful testing and results.