• Developed high-performance video playback solutions for Disney+, Hulu, and ESPN Flagship on major consumer platforms including Xbox, PlayStation 5, and set-top boxes with constrained environments.

• Engineered native video players in Rust and C/C++ with support for multi-session playback (up to 4 concurrent streams), optimized for low-memory environments, across Live and VOD content.

• Integrated and optimized DRM technologies including Widevine and PlayReady using Common Encryption (CENC) for secure, hardware-accelerated video decryption across heterogeneous platforms. Included support for Multisession DRM license management & cross-platform DRM architecture refactoring across PS5, PS4, and Xbox targets

• Ported internal video engines to new hardware targets, ensuring compatibility with HLS streaming, adaptive bitrate (ABR) logic, and modern container formats like ISOBMFF and CMAF.

• Validated playback stability across codecs (AVC, HEVC, AAC, EAC3), subtitles (WebVTT, 608/708), and OS-level pipelines, while tuning multi-threaded performance under tight memory and latency constraints.

• Develop and debug against PS5 SDK and Xbox platform SDKs — spanning hardware decode pipelines and hardware-level decryption

• Collaborated with Product, Platform, and QA teams to deliver scalable playback for millions of users, while supporting CI/CD workflows using Jenkins, Docker, GitHub Enterprise, and JIRA within an Agile environment.

• Built and maintained distributed systems using Java, Spring WebFlux, and Angular to ensure high availability across internal Disney Parks, Resorts & Experiences platforms for test data management.

• Enhanced legacy Java/Spring Boot applications using object-oriented principles.

• Analyzed test results to identify and resolve performance and scalability bottlenecks.

• Developed automated test plans and scripts to replace manual processes and improve release reliability.

• Collaborated with cross-functional teams to triage defects and support continuous delivery.

• Support various projects and events for the Stevens community by helping with technical aspects of event set-up

• Conduct trainings for students and faculty on how to use various systems including mail and network access

• Provide on-demand technical support and software setup for students and faculty via phone support, ticketing system, walk-ins, on-site visits and remote

• Guide and assist other student workers.

• Support various projects and events for the Stevens community by helping with technical aspects of event set-up

• Conduct trainings for students and faculty on how to use various systems including mail and network access

• Provide on-demand technical support and software setup for students and faculty via phone support, ticketing system, walk-ins, and on-site visits

• Communicated with client representatives to design & build Salesforce Einstein ChatBot for customer

facing web based customer support. Workflows were then designed based on client specs. Java/Apex Object Oriented programming languages were heavily used for ChatBot back-end development heavily involving XML DOM parsing, SQL queries and AJAX/REST calls, to better customize the ChatBot.

• Communicated with both internal & client UI/UX designers when styling customer facing web ChatBot to ensure that the front end style of the ChatBot would match the client's vision which included, but was not limited to: company branding, style, colors, animations, icons, fonts, and layouts.

Using Javascript, HTML & CSS, these edits were possible when embedding the ChatBot to client websites.

• Fully designed & implemented an internal NodeJS web application for editing & analysis of uploaded XML documents, particularly Salesforce Einstein ChatBot XML representation. This solution cut common Chatbot Editing project time to minutes, while in some cases, manually editing common use cases would cost the Company days to weeks.