8+ years experience
•
Built autonomous agent pipelines, reusable skills, and MCP integrations that run recurring engineering tasks end to end, cutting new-notebook onboarding from a week to under a day.
•
Rolled out the agentic tooling through adoption metrics, feedback loops, and migration paths rather than mandate, growing usage across the org without requiring anyone to opt in.
•
Cut CI build time from 19h to 2h (89%) by splitting jobs into parallel runs, on top of Jenkins parallelization and regression-suite stabilization, and reduced delivery cycle from ~28 to 10 days (64%), enabling near-daily releases.
•
Led a phased migration from single-server to a fault-tolerant tiered architecture (load-balanced application tier, database replication, compute on a shared HPC grid, self-healing monitoring), removing the platform's single point of failure.
•
Architected browser-driven simulation across four SerDes generations (112G, 128G, 224G 3nm, 448G), with parameterized channel-matrix analysis, configurable DSP parameters, and batch runs spanning 1000+ catalogued channels, up from ~300 in February 2026.
•
Owned the HSSLab platform end to end as top contributor, growing active users from ~30 to ~80 while retiring 90k+ lines of legacy code.
•
Embedded in a hardware engineering org spanning DSP, program management, and QA, landing platform and workflow changes across 100+ engineers through demonstrated value rather than authority.
•
Led migration from Gerrit to GitHub Enterprise, enforcing PR standards and per-model code ownership, and unified Jira, Jenkins, and Opsera into a single DevOps workflow.
•
Established documentation as engineering infrastructure: weekly KPI decks, Sphinx API docs, onboarding guides, and the HSSLab Web User Guide.
Designed and built the HSSLab platform from 0→1, the internal engineering platform the Staff role above now owns and scales.
•
Designed and built a Django web application with Celery + Redis for background job scheduling and reliable async processing of long-running simulation workloads.
•
Designed the initial Channel Library data model and search UX to store, query, and filter channel artifacts efficiently.
•
Integrated Papermill to execute parameterized .ipynb pipelines for automated reporting and batch analysis.
•
Scaled the Celery + Redis worker pool from 5 to 25 as simulation demand grew.
•
Implemented CI/CD with GitHub Actions to automate deployment and enforce a consistent release workflow on every merge.
•
Established Git branching strategy and PR review standards to improve code quality and team velocity.
•
Developed internal dashboards and reporting utilities using Matplotlib to surface key metrics and experiment results.
•
Evolved storage across MongoDB and PostgreSQL to improve persistence and query performance as access patterns changed.
Teaching Assistant - CSE Department
Santa Clara University
September 2023 – June 2024
•
Santa Clara, CA
•
Taught Introduction to Programming Languages.
•
Instructed Data Structures and Algorithms.
•
Led Operating Systems lab sessions.
•
Mentored students through debugging, assignments, and project milestones.
•
Supported course operations: office hours, grading support, and clarifying concepts with practical examples.
Led research and development for SMAR (Systematic Mobile Application Reviews) tool.
•
Led development for an HCI research tool end-to-end: requirements, UX iteration, implementation, and deployment.
•
Built a production-grade web application using React, Material UI, and Node.js.
•
Owned cloud deployment and operationalization using AWS (EC2, S3, Route 53) and Docker containerization.
•
Built/maintained data acquisition workflows (Play Store scraping) to support research and experimentation.
•
Conducted user studies and incorporated findings into iterative product improvements.
•
Coordinated a multi-person research/development team and aligned deliverables to lab goals and timelines.
•
Built a Python MVC application using Django with GraphQL integration and a Bootstrap-based UI.
•
Improved CI/CD workflows using Gerrit and Jenkins, reducing integration time by ~20%.
•
Collaborated with engineers to ship models through code review and automated pipelines.
•
Focused on maintainable structure, predictable deployments, and developer experience improvements.
•
Built an enterprise threat detection and response solution for SIEM workflows, improving security posture.
•
Created firewall log mapping and parsers using Logstash + Kibana, improving log analysis efficiency by ~30%.
•
Prototyped 30+ UI features using React and Redux to improve scalability and user experience.
•
Designed dashboards and widgets for Events, Signals, and MITRE ATT&CK tactics/techniques mapping.
•
Partnered with UX and cross-functional teams to translate feedback into actionable product improvements.
•
Mentored junior engineers and drove code reviews and quality practices across the team.
•
Architected a Digital Card Facilitator / Click-to-Pay solution at merchant checkout scale, emphasizing data integrity and reliability.
•
Implemented microservices using Java Spring Boot, improving scalability by ~50%.
•
Optimized SQL queries and added indexing to remove bottlenecks, improving retrieval performance by ~40%.
•
Built a secure JavaScript (ES6) SDK using the façade pattern with robust controllers and stronger security guarantees.
•
Integrated SonarQube and raised code quality across security, reliability, and maintainability (~70% improvement).
•
Created and maintained design documentation via Storybook to streamline cross-team collaboration.
•
Developed a Flask + MongoDB microservice to support a risk prediction model.
•
Performed ML time-series forecasting for ATM transaction frequency (~97% accuracy) and surfaced insights for stakeholders.
•
Delivered reporting via Power BI dashboards to visualize trends and operational metrics.
•
Engineered custom Alexa Skills for car and realtor assistants.
•
Used AWS Lambda, DynamoDB, and S3 for robust data handling and storage.
•
Improved performance and reliability through efficient AWS service integration.
•
Worked in a fast-iteration environment to validate ideas and ship usable prototypes.