Experience

1. Aug 2026 – presentExpected 2028

   M.S. Engineering (Interdisciplinary)

   San José State University

   Studying the intersection of robotics and AI.

2. 2019–2023Santa Cruz, CA

   B.S. Computer Science

   University of California, Santa Cruz

   • Explored network security and ethical hacking through the Slug Security Club’s workshops and competitions.
   • Relevant coursework: Computer Systems and C, Cryptography, Advanced Computer Networking, Principles of System Design, Artificial Intelligence, and Natural Language Processing.

1. 2026

   Evaluating detectors on driving scenes

   Evaluation harness, experiments, and analysis

   • Built an evaluation harness with dataset mappings, ignored-region handling, paired bootstrap comparisons, and recorded run configurations.
   • Found that multi-label NMS raises YOLO26m KITTI AP by 1.60 points at 640 px and reverses its AP comparison with the NMS-free head.
   • Compared transfer across driving datasets and accuracy/latency trade-offs on an 8 GB Jetson Orin Nano.

   Read report (PDF)cdn.sanity.io/files/ppk2h9tb/production/fc41d42d9b66390887e20ff239a1361e55975238.pdfEvaluation code and artifactsgithub.com/Adithya-Rajendran/HW1-2D-Detection

2. 2026

   When should a robot look again?

   Capture tooling, verification, and study design

   • Built Raspberry Pi capture tooling, registration checks, an offline verification core, and synthetic tests.
   • Analyzed four targets across twelve query images at one viewpoint; adjusted the evidence checks after observing failures.
   • Designed an arrangement-separated evaluation of view selection; held-out results are still pending.

   Project repositorygithub.com/Adithya-Rajendran/cmpe249-active-verification

3. 2026

   Local coding agents: task success and resource use

   Benchmark design, runs, telemetry, and analysis

   • Published per-attempt results, server manifests, task definitions, and telemetry for coding-agent experiments on one GX10.
   • Compared seven model/server configurations on 18 fresh-PR tasks and an 11-task SWE-bench Pro subset.
   • Measured task completion alongside time, GPU energy, memory, and parallel-agent behavior.

   Benchmark repositorygithub.com/Adithya-Rajendran/dgx-spark-benchmarksReleased dataset v0.3.0doi.org/10.5281/zenodo.23539595

1. May 2024 – Jul 2026RemoteFull-time

   Field Software Engineer I

   Canonical Ltd. (Ubuntu)

   Promoted from Associate Field Engineer after the first year

   Systems engineering, customer problem-solving, and technical communication across private-cloud deployments.

   • Led customer engagements from discovery and architecture through multi-rack OpenStack, Kubernetes, and Ceph private-cloud deployments, including erasure-coded Ceph.
   • Led a multi-site MAAS bare-metal rollout, advancing sites in parallel around blockers and teaching the process through a customer working session.
   • Diagnosed failures across Linux kernels, networking, switch configuration, and applications; provided bug fixes and documented root causes.
   • Automated deployments and operations with Python, Terraform, and Bash; created CIS and DISA STIG tailoring files and mapped controls to fleet-management tools.
   • Led technical presales and tailored OpenStack and MicroCloud demonstrations; drafted statements of work and mentored new field engineers.
   • Presented product demos to Forrester and Gartner analysts; co-presented SQL Server on Ubuntu with Microsoft at PASS Data Community Summit 2024.
2. Dec 2023 – May 2024Fremont, CA

   Cybersecurity Analyst Intern

   Technical Consulting & Research, Inc. (TCR)

   • Identified gaps between cloud-provider configurations and compliance requirements through fit-gap analysis.
   • Used MITRE ATT&CK to structure threat modeling and prioritize remediation.
   • Built Python automation and JavaScript demonstrations to reduce repetitive work and explain compliance requirements.
   • Implemented authentication and authorization with Auth0; applied least-privilege access and network segmentation.
   • Presented “Navigating AI Risks for Small Businesses” at IGNITE and Bucknell University conferences; explained security findings through reports and visualizations.

1. 21 Oct 2026Keeping a DGX Spark reachable under memory pressure
2. 30 Mar 2026A Homelab Built to Be Rebuilt
3. 26 Mar 2026Running GUI apps in LXD containers

1. Oct 2026

   One Flag and Two Gaps: What Zero-Shot COCO-to-Driving Detection Results Hide

   San José State University · CMPE 249 course report

   Read report (PDF)cdn.sanity.io/files/ppk2h9tb/production/fc41d42d9b66390887e20ff239a1361e55975238.pdfReport source and figuresgithub.com/Adithya-Rajendran/HW1-2D-Detection/tree/6e6a020c8556d4ca0e3de06a1d6f5de9f1ed46d6/paperEvaluation repositorygithub.com/Adithya-Rajendran/HW1-2D-Detection

Programming

Python · Bash · TypeScript · SQL · Git

ML and evaluation

PyTorch · scikit-learn · NumPy · pandas · OpenCV · TensorRT

Infrastructure

Linux · Docker · Kubernetes · OpenStack · Ceph · LXD · MAAS · Terraform

Networking and security

VLANs · PXE · OIDC · Auth0 · MITRE ATT&CK · CIS / DISA STIG tailoring

1. May 2018MTA: Security Fundamentals · Microsoft

Prior certifications

1. Sep 2023 – Sep 2026AWS Certified Solutions Architect – Associate
2. Aug 2022 – Aug 2025CompTIA Security+