Teaching Assistant — McGill University
Aug 2024 – Dec 2024 · Montréal
Assisted in Information & Application Security, Software Design Patterns (Java), Database Systems, and Network Science.
security_researcher@bhagya:~$
$
█
$
█
[SECURE] Profile loaded successfully
█
scroll to decrypt profile
I'm a PhD student at McGill University focusing on security awareness in web application development.
I research static application security testing (SAST), secure software engineering practices, and developer experience.
Security Projects
-
Usability of Static Application Security Testing Workflows
Project aligned with SANER Conference 2025
Studying developer experience and usability of SAST workflows to improve adoption and effectiveness.
-
Secbyz
Privacy-enhanced technology for POS systems
Follows Quebec's Bill 64 and PIPEDA requirements for privacy compliance.
-
Secure Actions
Rule-based security testing for GitHub Actions
Security testing for Python projects, informed by SLSA and supply-chain security principles.
-
AutoML systems with HPO and CASH
End-to-end AutoML benchmark system to streamline model baselining for data scientists.
-
Decoding Gender Bias
Scalar inference method to analyze pragmatics in word embeddings and detect bias.
-
JavaParser & AST generation
Program analysis experiments using JavaParser and ASTs for quality and security checks.
-
Retrieval & Graph improvements
Improved graph search and SharePoint taxonomy; built document similarity & knowledge graph retrieval.
-
More
Curriculum learning scaling analysis; Conversational model using BERT; Resume parsing with NLP/NER.
Research Publications
-
Usability of Static Application Security Testing WorkflowsSANER 2025 Workshops (program listing)
-
A Large-Scale Exploratory Study of Android Sports Apps in the Google Play StoreInformation and Software Technology, 164, 107321, 2023
-
Studying the Practices of Deploying Machine Learning Projects on DockerProceedings of the 26th Int'l Conf. on Evaluation and Assessment in Software Engineering (EASE '22), pp. 190–200, 2022
-
Understanding User Perception of Mobile App Quality: A Large-Scale Multi-Dimension StudyMaster's thesis, Polytechnique Montréal, 2023
Professional Experience
Data Science Intern — Ericsson
Jan 2023 – Apr 2024 · Montréal
Improved workflows with MLOps/RLOps using MLflow; integrated Kubeflow on Kubernetes via Helm. Built an end-to-end AutoML system for baseline benchmarks.
AI Engineer Intern — National Bank of Canada
Nov 2021 – May 2022 · Montréal
Developed document similarity and knowledge-graph retrieval to improve employee search experience.
Practical Work Supervisor — Polytechnique Montréal
May 2019 – Present · Montréal
Tutored Software Quality Assurance (maintainability, performance, security testing with JUnit, JMeter, JProfiler/VisualVM, ZAP/SonarCloud).
Artificial Intelligence Engineer — impress.ai
May 2019 – Apr 2021 · Kochi
Led a small AI team; met with clients to define problems; proposed algorithms and architectures. Work mentioned in Singapore Parliament for reducing man-hours using technology.
Education
-
Ph.D., Computer Science — McGill University, Montréal (Sep 2023 – Sep 2027) · CGPA: 3.92/4
Research: Security awareness in Web Application Development - M.A.Sc., Computer & Software Engineering — Polytechnique Montréal (May 2021 – May 2023) · CGPA: 4/4
- B.Eng., Computer Science & Engineering — Cochin University of Science & Technology (Jul 2015 – May 2019) · CGPA: 9.5/10
Technical Skills
AI/ML Stack
Security Tooling
Cloud & DevOps
Languages
Activities & Outreach
- Teaching, mentoring, and open-source experiments in secure software engineering.
- Presentation for STL CTF 2025
- Companion tutorials dependency
- BUNFI: Buil and Fix an Learn-time security solution