Software Developer  |  Distributed Systems & Networking  |  Applied ML
MSc Electrical Engineering, McGill University

• 🎓 MSc Electrical Engineering — McGill University (Graduate Excellence Award, CGPA 3.77/4.0)
• 📄 Published researcher — routing optimization for collaborative UAV/IoT networks, IEEE ICC 2025
• 💼 Currently Research Software Developer at MCIN (McGill Centre for Integrative Neuroscience), building the open-source LORIS clinical research platform
• 🌐 Experience across networking & routing protocols, distributed systems, embedded/IoT, and applied machine learning
• 🧑‍🏫 Mentored 700+ students in Java, C++, Python, Networking, ML & IoT
• 📍 Based in Montreal, Canada — open to relocation

Research Software Developer — MCIN (McGill Centre for Integrative Neuroscience) · Feb 2026 – Present

• Full-stack contributor to the LORIS open-source platform; modernized legacy jQuery components to React and engineered clinical instruments while ensuring compliance with privacy standards
• Identified security vulnerabilities and functional defects for LORIS 29.0 via threat modeling (RBAC, session behavior) and SQL-based backend verification

Machine Learning Engineer — Ericsson · May 2025 – Aug 2025

• Developed a Django REST API for a distributed ML system with a frontend for topology configuration, dataset selection, real-time visualization, and progress tracking
• Built a distributed ML system using DDP for multi-machine training and communication scheduling; implemented topology detection/optimization and I²C-based hardware monitoring for real-time node observability and telemetry
• Built a real-time image streaming pipeline using Kafka, Redis, and JAMScript across edge devices, with automated testing integrated into CI/CD pipelines

Research & Teaching Assistant — Advanced Networking Research Laboratory, McGill University · Sept 2022 – Aug 2025

• Completed a Master's thesis on collaborative UAV network routing optimization: graph-based multi-hop routing in C++ using a modified Dijkstra's algorithm to solve the NP-hard Steiner Tree problem, achieving a 99% computation speedup with 14% deviation from optimal
• Formulated wireless network routing as an Integer Linear Program with resource allocation constraints; designed heuristics for multi-source multi-destination path optimization with collision detection, channel scheduling, and dynamic topology management
• Evaluated Layer 3 routing protocol behavior (AODV, DSDV, DSR) in the NS2 simulator, analyzing packet delivery ratios, convergence times, and routing table dynamics under varying conditions using TCL scripting
• Provided technical guidance to 700+ students across Java, C++, Python, Networking, ML & IoT courses — code review, debugging, and defect-free programming practices

Embedded Engineer (Software) — Jaipur Medical System · Jul 2019 – Jun 2022

• Developed a document management platform using Spring Boot with a RESTful API backend and microservices architecture, PostgreSQL via JDBC, Elasticsearch for full-text search, document versioning, RBAC with JWT authentication, and Docker containerization
• Developed a machine learning model to predict project acceptance rates via text analysis on historical technical specifications, improving decision-making efficiency by 25% in regulatory approvals

"Optimizing Collaborative UAV(Drone) Networks for Data Efficiency in IoT Ecosystems" IEEE ICC 2025

Languages

Networking & Systems

Backend & Frameworks

Data & ML

DevOps & Cloud

See the portfolio for the full project list.

• Internet of Things (IoT)
• Algorithmic Toolbox — University of California
• Quebec Scientific Entrepreneurship Program — Fonds de recherche du Québec