Senior Software Engineer · San Diego, CA
Engineering reliable systems where software, infrastructure, and AI meet.
I build AI-assisted validation systems|
Senior engineer with 5+ years of experience delivering production-grade software across modem RF integration, Linux systems, distributed diagnostics, automation, and ML-enabled test intelligence. I turn ambiguous engineering problems into reliable platforms used by cross-functional teams at scale.
Engineering outcomes
Built for scale, reliability, and measurable impact.
A professional senior-engineer portfolio should lead with outcomes. These are the themes I repeatedly deliver across software, systems, and AI-enabled engineering workflows.
Technical depth
Systems-minded software engineering.
I operate comfortably from low-level Linux/process concepts to cloud-native services and AI-assisted engineering workflows.
Linux & systems engineering
Diagnostics, telemetry, profiling, shell scripting, file systems, signals, process control, and performance optimization.
LinuxC/C++PythonBashDiagnostics
Cloud-native DevOps
Containerized services, Kubernetes deployments, Jenkins pipelines, scalable automation, multi-branch delivery, and build reliability.
DockerKubernetesJenkinsCI/CDGit
AI/ML engineering
ML-enabled diagnostic frameworks, pattern recognition, signal processing, computer vision, and AI-assisted regression prediction.
PyTorchTensorFlowOpenCVPandasTransformers
Core toolkit
PythonGroovySQLC++CC#MATLABFlaskDjangoReactNode.jsFastAPIAWSAzureGCPJiraPerforceAgile/ScrumSystem DesignCode Review
Career timeline
Experience that combines scale, ownership, and cross-functional delivery.
Recent work focused on RF software integration, infrastructure automation, distributed diagnostics, and AI/ML-assisted validation systems.
Senior Software Engineer — Modem RF Software Integration
Qualcomm Inc · San Diego, CA
- Managed version control and code delivery across multiple branches, proactively resolving conflicts and debugging build failures to keep integration pipelines stable.
- Built and deployed Dockerized Flask applications to Kubernetes, enabling automated scaling and resilient cloud-native operation.
- Developed Python tools for system diagnostics, telemetry, and node-level monitoring across large compute clusters.
- Created scalable Jenkins CI/CD pipelines and containerized build environments that improved automation efficiency and reduced execution time by 40%.
- Designed logging, profiling, and analytics tooling for cross-team debugging, regression analysis, and operational insight.
- Partnered with hardware, firmware, and data science teams to build ML-enabled diagnostic frameworks that improved test coverage and reduced regression defects by 25%.
Software Engineer — Consultant
Manpower · San Diego, CA
- Created log-analysis frameworks and automated diagnostic scripts using Linux system calls and device-level data streams.
- Enhanced distributed processing workflows with Bash automation, Pandas, and multi-process Python services.
- Developed data-processing and visualization pipelines with NumPy, Pandas, and Matplotlib to accelerate RF validation analysis and decision-making.
Peer Leader / Educator
UTSI · The University of Texas at Arlington
- Led review sessions across AI, machine learning, data mining, object-oriented programming, computer vision, operating systems, C, C++, and architecture fundamentals.
- Mentored peers in applied ML concepts including KNN, decision trees, SVM, OpenCV fundamentals, and supervised vs. unsupervised learning.
Selected work
Projects with production instincts.
Autonomy01
Autonomous UAV Delivery System
Engineered a self-navigating drone using Linux-based compute, Python, OpenCV, DroneKit API, and ArduPilot for target delivery and real-time obstacle avoidance.
- 95% delivery accuracy
- 1st place, 2021 Raytheon Drone Showcase
Systems02
Maverick Shell
Implemented a Bash-like shell prototype in C with command execution, file-system navigation, piping, forking, exec, and signal handling.
- Low-level OS process management
- C, Linux, signals, file descriptors
Startup03
Homework Sakiyo
Founded and built an online academic assistance platform for Nepal using Flask, Google Cloud Firestore, and real-time database services.
- Full-stack product ownership
- Cloud-backed web application
Education & credentials
Academic foundation in computer science, data systems, and AI.
Master of Science in Information Studies
Computer Science & Data Systems Focus · Trine University
Advanced databases, network management, cloud computing, cybersecurity, data science & big data, systems engineering analysis, OOP, and project management.
Bachelor of Science in Computer Science
The University of Texas at Arlington
Dean’s List across five semesters. Coursework included algorithms, operating systems, databases, AI, ML, information security, robotics, and computer vision.
Certification
Credential: 6GUwntLw
Deep Learning Specialization · DeepLearning.AI
Five-course specialization covering neural networks, hyperparameter tuning, CNNs, sequence models, and applied deep learning foundations.
Let’s build
Interested in senior-level systems, AI/ML, or infrastructure work?
I’m always open to meaningful engineering conversations around high-scale software platforms, AI-assisted workflows, cloud-native tooling, and reliable automation.