End-to-end experimentation
Built data preprocessing, feature extraction, training, evaluation, and robustness-testing workflows for ML projects across security and scientific domains.
PythonML PipelinesEvaluation
Experience
Research, engineering, and ML implementation.
Six years across applied AI research and software engineering — from production REST APIs serving 1,000+ concurrent users to ML pipelines for hardware security and drug discovery.
Security-aware model building
Worked on adversarial robustness, explainability, hardware Trojan detection, IoT security, and model behavior in noisy or adversarial settings.
Adversarial MLXAISecurity
Engineering beyond notebooks
Brings backend/API experience, Git-based collaboration, Linux/HPC workflows, containers, and performance-focused implementation habits.
REST APIsLinuxDocker
Timeline
Roles and responsibilities.
Graduate Research Assistant
Wright State University
- Designed and evaluated adversarially robust ML pipelines for side-channel hardware security datasets.
- Built feature extraction, clustering, and adversarial evaluation workflows for hardware Trojan detection.
- Refactored preprocessing and inference stages for deterministic, reproducible batch experimentation.
Teaching Assistant and Research Mentor
Wright State University / NSF REU led by WSU and co-led by AFIT
- Served as TA for CEG 7350 Computer Architecture and CEG 7900 Trustworthy AI Hardware, supporting grading, exams, presentations, and student help hours.
- Designed lecture, assignment, and lab material for Trustworthy AI Hardware modules on buffer overflows, ML/deep learning, PUF attacks, Trojan detection, side-channel analysis, and adversarial robustness.
- Mentored NSF REU 2025 students Cole Castronova and Ryan Dang from June 9 to August 7, 2025, and supported the WSU-led interview/onboarding process for the 2025 and 2026 NSF REU cohorts: 9 interns each year, with 4 hosted at WSU and 5 at AFIT.
Research Associate
Wright State University
- Developed adaptive ensemble learning models for real-time financial fraud detection under concept drift.
- Integrated explainability methods to improve trust and usability in security-critical ML systems.
- Contributed to proposal and white-paper development, mentoring, and lab-level coordination.
Graduate Research Assistant
Wright State University
- Implemented distributed federated learning systems for secure and privacy-aware AI hardware.
- Developed ML-assisted hardware Trojan localization and detection algorithms.
- Designed parallel ML approaches for multicore environments and contributed to hardware security publications.
Research Student
Jeonbuk National University
- Developed CSatDTA for drug-target affinity prediction using convolutional self-attention.
- Worked with large-scale drug-target interaction data and preprocessing workflows.
- Combined AI, chemistry, pharmacology, and biology concepts for computational drug discovery.
Software Engineer
YBC Services
- Developed RESTful APIs serving React and Flutter frontends for HR management software.
- Supported software handling 1,000+ concurrent users.
- Led team planning, blocker tracking, and API development workflows.
Software Engineer
Bent Ray Technologies
- Built and deployed production web applications across e-commerce and enterprise platforms.
- Designed REST APIs for staffing and business systems with secure data exchange.
Education
Academic background.
PhD in Computer Science and Engineering
Wright State University
Technical focus: trustworthy AI, hardware security, side-channel analysis, adversarial ML, LLM systems, and AI for security.
Master of Science in Computer Science
Wright State University
Thesis: An ML-Assisted Golden-Free Hardware Trojan Localization and Detection Approach for Trusted Microelectronics.
Bachelor of Engineering in Computer Engineering
Tribhuvan University
Engineering foundation in software, systems, and computer engineering.
Skills
Technical stack by workflow.
AI / Machine Learning
Pythonscikit-learnpandasNumPyTensorFlowKerasPyTorchTransformersCNNsSelf-attentionClusteringAnomaly detection
Trustworthy AI and ML Security
Adversarial MLARTRobustness testingExplainable AISHAPLIMEPseudo-labelingSynthetic augmentation
Hardware Security
Hardware Trojan detectionFPGABasys 3Ring Oscillator NetworksPower/EM side-channelsFeature extractionGolden-reference-free detection
LLMs and NLP
LLM-assisted explainabilityRubric-aware scoringSynthetic transcriptsLongformerDistilBERTSBERTNLP classification
Systems / HPC
LinuxSLURMDockerSingularityJupyterSSH/SCPBashDistributed workflowsExperiment management
Web, APIs, and Security
REST APIsMicroservicesSwaggerPostmanGitGoC/C++WiresharktcpdumpZeekGhidraBinary Ninja
Professional Service
IEEE SaTC conference coordination.
Program leadership across conference planning, technical session organization, speaker communication, and on-site coordination for secure and trustworthy cyberinfrastructure research communities.
Conference coordination and program operations
IEEE Conference on Secure and Trustworthy CyberInfrastructure for IoT and Microelectronics
Under Dr. Fathi Amsaad's guidance, supported work that went beyond day-of volunteering: program structure, session planning, speaker coordination, chair communication, logistics, and recognition materials for the 2025 and 2026 conferences.
- Reviewed paper categories and helped update the division of tracks and sessions for in-person and online papers.
- Built full program agendas for SaTC 2025 and SaTC 2026.
- Reached out to keynote speakers, invited speakers, and panel participants to coordinate availability and agenda placement.
- Identified session chairs in discussion with Dr. Amsaad and sent them session, paper, author, and logistics details.
- Supported in-person registration, name tags, swag, on-site logistics, and volunteer mentoring during the conference.
- Designed the certificate template, coordinated chair signatures, and distributed signed certificates to recipients.
Awards and Leadership
Recognition and research development.
Graduate Student Excellence Award
Wright State University, April 2025
Awarded by the College of Graduate Programs and Honors Studies with a $400 graduate student excellence award.
Funded Trustworthy AI / XAI white-paper contribution
Research development under Dr. Fathi Amsaad's guidance
Contributed technical framing and white-paper drafting for a $100K funded Trustworthy AI / Explainable AI initiative.
Nepalese Student Association Treasurer
Wright State University
Managed operations and logistics for a 200+ participant student organization.
Research Mentorship and Lab Coordination
SMART Cybersecurity Research Lab
Coordinated research tasks, trained new students, supported documentation, and helped organize lab activities.