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Autopilot

Investment Banking Division–Equity Capital Markets (ECM)

• Developed the back end of a Chrome extension (Trakkr) with JavaScript, HTML, CSS, Java and Node.js that allowed team members to see which user stories are being worked on in real time.• Utilized WebRTC to connect from GCP to the Chrome extension. (Chrome rules disabled external JavaScript execution)• Expanded, and secured, Firebase’s Real Time Database by introducing security and authentication rules.• Efficiency of team members increased by 20% and accuracy of Ford’s internal development board counter increased by 60 after launching Trakkr. (Efficiency: time to complete one user story. Accuracy: delta of the items completed)• Caught a security critical bug (unauthorized server side directory traversal) leading to a pull request.

• Constructed an automated test harness that simulated human use over a period of 24-96 hours for medical sensors.• Utilized the Raspberry Pi and Arduino Platform to enable modularity between all sensors and control units.• Developed a test application that used multithreading in Python to satisfy the following edge case: two events taking place concurrently. • Caught, and mitigated, a race condition (duplicate data manipulation) leading to a pull request.• Ensured accurate serial data communication between the Raspberry Pi and Arduino Platform• Developed the test cases for the test harness in Python, C and lower level machine code (bit shifting).

• Developed a software feature toggle that enabled users to automate their 3D designs. Refactored, as well as ported, existing C# mass edit functionality to C++• Caught an elusive bug (unsuccessful language translation leading to a segmentation fault) in NX after testing extreme edge cases leading to a pull request. • Developed unit tests, as well as regression tests, for a new licensing feature for Siemens NX• Expanded the functionality of “mass edit” feature by enabling users to edit values of different types in one dialogue.• Caught another elusive bug (unauthorized memory manipulation from C++) in Siemens NX leading to a pull request.

• Deployed developmental Linux (Ubuntu) server to optimize BLAST+ Search algorithm. • Optimized BLAST+ (Basic Local Alignment Search Tool) Search algorithm for the developmental server. • Researched, as well as deployed, a GPU based BLAST+ algorithm to work in conjunction with the CPU. • Decreased average search time from 4 hours (240 minutes) to 8 mins on the developmental server. • Created scripts (in BASH and Python) that would update the BLAST Genetic Taxonomy database–as well as log the SHA256 Hash, file version and update date–regularly.• Converted a Google Doc instruction document to a fully functioning HTML instruction page (implemented Markdown for ease of use)

• Developed mechanism that kills cancer cells with blue light (borderline to UV Light on the color spectrum)• Utilized 3D printing to ensure rapid prototyping. With the rapid prototypes, our team was able to present each stage of our design iteration to our client. • Led developmental and purchasing efforts for this project.• Researched different design methodologies (Scrum, Agile, Waterfall) for this project.

• Acted as a key point of contact, skillfully handling inquiries about medication information, eligibility, transactions, and liability details.• Dealt with various types of insurance claims, demonstrating versatility and problem-solving skills.• Demonstrated proficiency in a range of insurance sectors, encompassing auto, home, and health insurance, with a specialization in residential and rental policies, HMO and PPO plans, and a thorough understanding of Medicare and Medicaid policies.• Applied practical knowledge and expertise in handling real-world insurance scenarios.