• Develop, debug, and maintain Next.js and React Web applications related to provincial government services of Ontario.

• Developed front-end of compiler in Python using PLY (Lex & Yacc) for generating abstract syntax trees (ASTs) from interface description language (IDL) files.
• Designed and implemented an automated client-service (RESTful) API generator for standardized communication (e.g., HTTPS, SOME/IP, MQTT) in Rust Programming Language using a combination of Rust, Python, and Jinga2 (Template Engine).
• Designed and developed a VSCode Extension (developed in TypeScript and CSS) to deliver business critical hardware information (HTML pages) to automotive engineers via a React front-end user interface.
• Designed and implemented a scalable Node.js Language Server (developed in TypeScript, CSS, and Python) to provide features (go-to-definitions, snippets, syntax highlighting, error diagnostics) in assisting hardware engineers with IDL file generation.
• Maintained all software using semantic versioning and Git-based version control systems.
• Wealth of hands-on experience in debugging software using the latest language-dependent debugging tools (LLDB, PDB, Firebug, Chrome Developer Tools).

• Applied Agile and Scrum methodologies (Kanban board, Story boards, Github Scrum boards) to manage backlog, sprints, and code reviews.
• Translated technical systems specifications provided by teammates into functional software applications.
• Routinely scheduled walkthrough sessions with project team members to share development progress and coordinate across members for next steps.
• Engaged in both small team (< 20) and larger organizational meetings (> 100) to coordinate efforts across multiple layers of the Ford organization.

• Provided mentorship (at request) to junior software developers and engineers regarding industry practices (testing, integration, optimization) and standards (RFCs).
• Routinely prepared software design specifications and reports for software applications developed.
• Provided post-implementation support, debugging, and technical assistance across software deployment releases.
• Git based documentation always submitted to ensure sufficiently capture all necessary details for software development or diagnosis.

• Led complete software development life cycle for front- and back-end components of Time in Daylight Vision Health feature revealed at Apple WWDC 2023 Keynote.
• Implemented software application to send internal data for development operations (DevOps) to Apache server endpoints.
• Designed and implemented back-end server (using Node.js, Express.js, jQuery, HTML, CSS) used in development-operations for sending (via HTTPS protocol) and storing internal data to non-relational database (mongoDB) endpoints.
• Utilized authentication mechanisms (Okta Authentication) and front-end user profiling (login page) for securing accessibility to headless Content Management Systems (headless CMS) used for developing internal asset distribution services.
• Developed progressive web and mobile applications (PWAs) with offline capabilities, push notifications, and responsive layouts.
• Managed software applications across a diverse range of operating systems (Apple and non-Apple devices), ensuring cross-functional compatibility where required.
• Extensive hands-on experience with large-scale IaaS platforms supporting engineering operations.
• Optimized software applications for accessibility (AODA/WCAG) under branch of Vision Health.
• Maintained all software using semantic versioning and Git-based version control systems.
• Wealth of hands-on experience in debugging software using the latest language-dependent debugging tools (LLDB, PDB, Firebug, Chrome Developer Tools).
• Ensured software quality through rigorous unit, continuous integration, and quality assurance (QA) testing.

• Implemented machine learning algorithms (in C language) involving Apple watch sensors to predict time spent in direct sunlight.
• Implemented advanced computational models of the human visual system (using Python, C language, and Julia).
• Developed low-level algorithms for predicting human visual perception relative to content being rendered on display panels to evaluate and improve display technologies.
• Designed and conducted user studies to evaluate human vision for novel display technologies.
• Performed rigorous literature reviews on topics related to modeling visual perception and health, along with compiling summaries and reports of findings in written, oral, and presentation formats.
• Performed statical analyses on behavioral data to draw inferences and generate predictive models of human perception, primarily focused on vision.

• Routinely utilized Rapid Application Development (RAD) methodologies with teammates to expedite proof-of-concepts for incubation efforts.
• Track record of meeting immediate deadlines for delivering software deliverables to relevant stakeholders.
• Experience in collaborating with corporate lawyers to assess licensing and distribution models for proprietary software being developed.
• Worked with UI and UX exclusive graphic artists to define and utilize assets within front-end software applications according to story boards, wire frames, and mock-ups.

• Coordinated with product owners, designers, and large cross-functional teams in Agile/Scrum environments.
• Experienced in generating (cloud-based) documentation for reports, roadmaps, software design documents (RESTful APIs), high-level design diagrams, and software specifications.
• Experienced at keeping diverse stakeholders across Apple aware of product development progress using multivariate approach (organization dependent).

• Led complete software development life cycle for Vision Health feature measuring contrast sensitivity on mobile devices as revealed at Apple WWDC 2019.
• Led software development, especially front-end UI and UX design, for prototyping progressive software applications (mobile and web) related to Vision Health.
• Developed reusable front-end (UI and UX) components for development of Vision Health software applications.
• Maintained all software using semantic versioning and Git-based version control systems.
• Wealth of hands-on experience in debugging multitude of software instances using latest debugging tools (LLDB, PDB, Firebug, Chrome Developer Tools).
• Ensured software quality through rigorous unit, continuous integration, and quality assurance (QA) testing.

• Implemented advanced computational models of the human visual system (using Python, C language, and Julia).
• Designed and developed low-level algorithms (in Python, C language, and Julia) for evaluating Front-of-Screen (FoS) technologies.
• Performed rigorous literature reviews on topics related to modeling visual perception and health, along with compiling reports of findings in written, oral, and presentation formats.
• Designed and conducted user studies to evaluate human vision for novel display technologies.
• Performed statical analyses on behavioral data to draw inferences and generate predictive models of human perception, primarily focused on vision.

• Track record of organizing and informing relevant stakeholders of project progress through variety of documentation and visuals, along with coordinating next steps in product cycle.

• Coordinated with product owners, designers, and large cross-functional teams in Agile/Scrum environments.