Neil is a Senior Software Engineer at Amazon. He is experienced working on low level firmware development as well as writing APIs for SDKs. He is familiar with Agile methodologies such as scrum and kanban. He is passionate about solving problems through efficient code and automating manual steps. He is also interested in machine learning and artificial intelligence and how it can be used in the field of autonomous driving.
Tech lead for the Amazon Photos desktop team - oversee a team of 4 devs and 1 QA to support the desktop app on macOS and Windows. Collaborate with cross functional teams across front-end clients (Mobile and Web) and back-end service teams to preserve customers’ memories
Working on the Amazon Photos desktop app for both macOS and Windows. Integrating new features and building delightful UIs for our customers.
Implemented new features and APIs for the Windows and Android Intel Context Sensing SDK to simplify customer’s interaction with Intel hardware.
Enabled new sensor use-cases for the Intel Integrated Sensor Hub (ISH) which was shipped in multiple
OEMs (Dell and HP).
Worked on the Phytec phyFLEX I.MX6 SOM and developed a simplified kernel for the Linux OS. Created a single-shot camera driver and xmodem protocol for the microcontroller as proof of concept. Complied with software development practices and documented performance test results.
Designed, implemented, and tested the system software for both a legacy and a new proprietary barcode scanner. The project involved the conversion of drivers, decoders, and other modules working on a 16-bit to a 32-bit ARM microprocessor as well as creating an automated testing system.
Implemented workfows to automate manual build processes and worked with a web based tool, AntHillPro, to configure and deploy changes in software codes and documentations.
Collaborated on different research areas including Frequent Pattern Mining, Resource Access Monitoring
of Android Systems and methods to analyze Social Networks and how they relate to Cyber Security.
- Published Master’s Thesis 2015: SCANNER: Sequence Clustering of resource Access to find Nearest Neighbors.
- Published IEEE DSC 2017: SCANNER: Sequence Clustering of Android Resource Accesses.
Provided students at RIT with academic assistance in Calculus, Multivariable Calculus and Physics.
Developed an Android and Flutter app that displays an inspirational quote from an author when a user requests one. The app makes a REST call to a Flask Python webserver deployed on Heroku which returns the quotes. Github Repo
- Evaluated Flutter SDK, Android app dev, Flask and Heroku
GPA: 3.87/4.00
Apart from coding, I am an avid NBA fan and love playing basketball. I also enjoy hiking and the peacefulness of walking in nature.
If I am not browsing the internet or reading about the latest tech, I also follow a few eSport games such as Dota 2, CS-GO, StarCraft 2 and love sci-fi or fantasy shows.