Professional Experience

Industry experience across Telecom Systems, Media Platforms, Cloud Infrastructure, and Healthcare Technology.

Software Engineer Intern – VoIP & Full Stack

HD Telecom Inc. · Toronto, ON

Internship · Aug 2025 – Jan 2026

Worked within a telecom engineering team supporting internal communication systems and automated voice workflows. Contributed to production-ready VoIP infrastructure, backend services, and mobile applications used by employees and operations staff.

  • Deployed and configured FreePBX (Asterisk) servers on Google Cloud Compute Engine, including SIP trunks, inbound/outbound routing, and extension management.
  • Engineered an automated provisioning API to dynamically register employee extensions and securely manage credential lifecycles, eliminating manual PBX administration.
  • Developed a Flutter-based internal employee application (Android/Web) integrating a SIP softphone and a real-time scheduling module for shift availability management.
  • Implemented Text-to-Speech (TTS) and Speech-to-Text (STT) integrations using external AI APIs to support IVR and automated appointment booking workflows.
  • Built a Node.js (Express) backend to handle call logic, booking validation, and secure RESTful communication between telephony servers and client applications.
  • Dockerized backend services and MongoDB using Docker Compose, enabling portable deployments for rapid internal and client installations.
  • Designed intelligent call routing logic prioritizing internal extension dialing over external AI services, reducing operational costs while maintaining 99.9% call reliability.

Technologies: FreePBX (Asterisk), VoIP (SIP), Flutter, Dart, Node.js, MongoDB, Docker, Google Cloud, AI APIs

Software Engineering Intern – Media Systems (IPTV R&D)

Fansipan Technologies · Toronto, ON

Internship · Aug 2024 – Dec 2024

Worked on research and development of IPTV client systems, focusing on large-scale data ingestion, client performance, and streaming reliability in heterogeneous production environments.

  • Designed ingestion pipelines for Xtream Codes and XMLTV (EPG) formats, handling complex metadata for Live TV and VOD catalogs.
  • Architected a Flutter-based IPTV client capable of parsing 20,000+ live channels in under two seconds using Hive (NoSQL) for local caching.
  • Validated player compatibility against third-party IPTV middleware, debugging authentication handshakes and optimizing stream stability across diverse server configurations.
  • Deployed local IPTV middleware servers to simulate production-grade payloads and stress-test parsing engines and local database performance.
  • Researched CDN scaling strategies and edge caching, benchmarking stream latency using AWS IVS and Cloudflare to evaluate glass-to-glass performance.
  • Built mock backend services using Node.js to simulate high-load and error scenarios (403, 404, geo-blocking), ensuring graceful client-side handling.

Technologies: Flutter, Dart, IPTV, Xtream Codes API, XMLTV, Hive NoSQL, HLS Streaming, Node.js, AWS IVS, Cloudflare

Manufacturing & Data-Driven Process Engineering Experience

PPG Industries · Canada

Engineering Role · Full-Time

Worked in a high-volume manufacturing environment supporting production systems, quality control, and data-driven decision support. Contributed to operational planning and resource optimization during periods of workforce and material constraints, including COVID-related disruptions.

  • Analyzed production and labor data to identify bottlenecks, variability, and inefficiencies impacting throughput and downtime.
  • Built and maintained Excel VBA/Macro-based tools to automate data collection, reporting, and scenario analysis for daily and weekly operational planning.
  • Used SAS and structured datasets to perform trend analysis and support process optimization initiatives.
  • Developed Power BI dashboards to visualize production performance, downtime drivers, and resource utilization for engineering and operations stakeholders.
  • Supported data-driven workforce and source allocation decisions during COVID-related manpower shortages and raw material constraints, helping balance staffing levels while minimizing unplanned downtime.
  • Collaborated with cross-functional teams to investigate quality deviations, perform root-cause analysis, and implement corrective actions based on quantitative evidence.

Core Skills Demonstrated: Data Analysis, Decision Support, Process Optimization, Power BI, SAS, Excel VBA, Root Cause Analysis, Cross-Functional Collaboration