cv

Basics

Sean Brar

ML Systems Engineer

Los Angeles, California, US
Email [email protected]
Url https://seanbrar.com
Summary Google DeepMind GSoC '25 alumnus. ML systems engineer building evaluation and verification infrastructure for AI systems. Post-bacc CS & Mathematics.

Projects

  • 2025.06 - Present
    Pollux
    • Deterministic content-hash caching cutting API costs 90% on fan-out workloads
    • Single-flight async deduplication eliminating duplicate uploads across concurrent requests
    • Error hierarchy separating retry policy for generation vs. side-effect calls
    • Layered validation: mutation testing, property-based testing, contract/integration/golden tests
    • Published to PyPI; 113+ merged PRs across Python 3.10–3.14 CI matrix
  • 2024 - Present
    ContextRAG
    • 7 retrieval metrics with TOST equivalence testing and Holm-Bonferroni correction
    • Confirmed preregistered null hypothesis (adaptive ≈ uniform within 0.02 nDCG margin)
    • Reproducibility manifests tracking git SHA, dependency versions, and dataset fingerprints
    • 60+ experiment runs across 3 datasets at 91% test coverage
  • 2026.02 - 2026.02
    gh-templates
    • Pydantic contracts validating structured Gemini output at 99.97% success rate
    • Transient/permanent error taxonomy with resumable 40-worker async pipeline
    • Phi coefficient and point-biserial correlation with Benjamini-Hochberg FDR correction
  • 2024.12 - Present
    Cartridge
    • ONC RPC framing and XDR binary serialization in C# across 119 source files
    • 8-script verification harness: warning-fingerprint regression gating, stub-completeness scanning
    • Concurrent NFS client with semaphore-guarded state machine and TTL-expiring caches
  • 2024.09 - Present
    paperweight
    • RSS-first fetch routing with batched arXiv API fallback and Tenacity retry at 3 external boundaries
    • Golden-set scoring validation and SQLite-backed offline integration testing
    • Published to PyPI with 1:1 test-to-source ratio across 15 test files
  • 2026.02 - Present
    nullscope
    • 33 ns/call disabled overhead (matching bare function call cost) verified via GC-disabled benchmarking
    • contextvars-based async-safe scope hierarchy with token-reset semantics
    • Published to PyPI with OIDC trusted publishing and 5-version CI matrix
  • 2025.01 - 2025.02
    Traffic Object Detection Model
    • Benchmarked 8 architectures (YOLO, SSD, Faster R-CNN)
    • 76% mAP on custom traffic dataset

Skills

ML/AI
LLM APIs (Gemini, OpenAI)
RAG Systems
Evaluation Harness Design
Async Pipelines
Verification & Testing
Mutation Testing
Property-Based Testing
Equivalence Testing
Reproducibility Infrastructure
Programming
Python
C/C++
C#
Bash/Shell
Systems & Tools
Linux
Docker
AWS
CI/CD (GitHub Actions)
mypy (strict)

Work

  • 2023.08 - 2025.01
    Support and Systems Engineer
    ELEMENTS
    Tier 2/3 Linux support for enterprise media environments.
    • Tier 2/3 Linux troubleshooting for enterprise media clients
    • Custom Python API integrations for client services
    • Cross-timezone international collaboration
  • 2023.02 - 2024.12
    Founder & Systems Engineer
    Latido203 Creative LLC
    Founded technical consultancy serving creative agencies.
    • Led six-figure, 5-person app development initiative
    • Administered AWS infrastructure (EC2, Route53, SES)
    • Continued as technical consultant through 2024
  • 2022.07 - 2023.01
    IT Coordinator
    Brisa Del Mar Strategies
    Technical infrastructure and data analysis for political campaign.
    • GPT-powered meeting minutes system (2 hours → 5 minutes post-meeting)
    • WireGuard VPN deployment on Raspberry Pi/Docker
    • Full data recovery after critical drive failure

Education

  • 2025 - Present
    Post-Baccalaureate Studies
    Glendale Community College
    Computer Science and Mathematics
    • Data Structures, Discrete Mathematics, Computer Architecture, Calculus sequence
    Courses: CS/IS 211, CS/IS 125, MATH 103EH, CS/IS 135
  • 2021 - 2022
    Bachelor of Arts
    California State University, Los Angeles
    Political Science and Government
    • Summa Cum Laude, 3.9/4.0 GPA
    • Computer Information Systems minor
    • Best Undergraduate Paper Award
    • National Pi Sigma Alpha writing nominee
    Courses: CIS 4380, CIS 3050, CIS 3010, CIS 4840
  • 2016 - 2021
    Associate Degree for Transfer
    Glendale Community College
    Political Science and Government
    • Academic Honors at graduation
    • Unix/Linux systems coursework
    Courses: CS/IS 172, CS/IS 193

Certificates

AI & Machine Learning
AI/ML Certificate Program
Caltech Feb 2025
AI Strategy
Cornell Jun 2023
Machine Learning Foundations
Amazon Web Services Apr 2022
Systems & Infrastructure
CompTIA Network+
CompTIA Jun 2024
CompTIA A+
CompTIA May 2024

Organizations

Professional
Association for Computing Machinery (ACM) 2021-PRES
Academic
Pi Sigma Alpha 2021-PRES
Service
National Eagle Scout Association 2021-PRES

Interests

Research Interests
ML Evaluation & Verification
Reinforcement Learning
Reproducibility Infrastructure
Current Projects
LLM Output Validation
Evaluation Harness Design
Academic Paper Triage

Awards

  • 2022
    Best Undergraduate Political Science Paper
    California State University, Los Angeles
    Faculty-selected outstanding research showcasing superior analytical thinking and methodology.
  • 2013
    Eagle Scout Rank
    Boy Scouts of America
    Highest rank achieved by only 4% of scouts, demonstrating exceptional leadership and project execution.

Volunteer

  • 2012.04 - 2012.12
    Eagle Scout Project Leader
    Boy Scouts of America
    Planned and executed community service project, demonstrating project management and leadership.
    • Multi-level approved project plan
    • Team-based implementation management
    • On-spec community project delivery