SVC-04Current
Synchrony
AVP, Reliability Engineer
Jun 2026 — Present
Reliability engineering.
Detail pending · see Rev. C
Tyron Samaroo
AVP, Reliability Engineer at SynchronySoftware Engineer · ML Engineer
Long Island, New Yorktyronsamaroo.dev
Reliability engineer with 6+ years building high-scale cloud-native microservices, ML pipelines, and polished web experiences.
Fig. 1
Career pipeline · Jan 2020 → present
About
4 specs · 1 core · 4 interfaces
Detail B · Specifications
Focused on reliability, event-driven architectures, and shipping real projects.
Six-plus years that run from a CUNY research foundation, through ML engineering at PicoPortal and high-scale backend services at Capital One, to AVP, Reliability Engineer at Synchrony.
- Experience S.1
- 6+yrs
- Building production software since Jan 2020
- Education S.2
- MS
- Data Science & Engineering, City College of New York
- Certified S.3
- AWS×2
- Developer + Solutions Architect, Associate
- Shipped S.4
- 8projects
- From iOS side projects to full-stack dashboards
Fig. 2Context diagram · where the work concentrates
IF.1Cloud-native microservicesAWS · Go · Python · Docker · Kubernetes
IF.2ML pipelinesPyTorch · scikit-learn · FastAPI · Celery
Core serviceReliability
24×7 on-call · incident recovery
zero-outage migrations
IF.3Event-driven architecturesKafka · Lambda · Step Functions · SNS/SQS
IF.4Web experiencesReact · TypeScript · Next.js · Tailwind
Experience
4 services
Section C–C · Services, newest first
SVC-03
Capital One
Software Engineer
Jan 2022 — 2026
Key dimensions
- Repos migrated
- 100+
- Outages
- 0
- Tests written
- 300+
- Coverage
- 85%+
- Engineered high-scale backend services on AWS powering millions of monthly requests.
- Owned production reliability and 24x7 on-call support; cut MTTR from ~2h to <30min.
- Replatformed legacy batch processes into event-driven pipelines (Lambda, Step Functions, SNS/SQS).
- Led infrastructure migration across 100+ repositories as sole SME with zero outages.
- Wrote 300+ unit/integration tests achieving 85%+ code coverage.
Fig. 3Mean time to restore · before → after
Before
~2 h
After
<30 min
SVC-02
PicoPortal (IDOC)
ML Engineer / SWE
Dec 2020 — Dec 2021
- Automated the ML pipeline with Azure DevOps, Kubernetes, Docker, and Celery.
- Built inference APIs with FastAPI; integrated OCR + ML models.
- Managed PostgreSQL + Redis for data storage and caching.
SVC-01
Research Foundation of CUNY
Software Engineer
Jan 2020 — Aug 2020
- Built an admin tool with Ruby on Rails serving 500+ users.
- Automated browser testing with Selenium; reduced manual QA by 40%.
Skills
16 parts · 4 assemblies
Detail D · Bill of materials
| Part | Grade |
|---|---|
| PythonD.1.1 | Advanced |
| GoD.1.2 | Advanced |
| JavaD.1.3 | Proficient |
| TypeScriptD.1.4 | Proficient |
| Part | Grade |
|---|---|
| ReactD.2.1 | Advanced |
| FastAPID.2.2 | Advanced |
| Spring BootD.2.3 | Proficient |
| Ruby on RailsD.2.4 | Familiar |
| Part | Grade |
|---|---|
| AWSD.3.1 | Certified |
| DockerD.3.2 | Advanced |
| KubernetesD.3.3 | Proficient |
| TerraformD.3.4 | Proficient |
| Part | Grade |
|---|---|
| KafkaD.4.1 | Advanced |
| RedisD.4.2 | Advanced |
| PostgreSQLD.4.3 | Proficient |
| CI/CDD.4.4 | Advanced |
Note 1. Newer parts on the bench: SwiftUI and HealthKit, in use on iOS side projects (see StrideSlip).
Detail E · Components
Projects
1 revision · 6 components
Rev. D · Latest project update · June 2026
iOS build notes
An iPhone activity companion for daily steps, workout receipts, Lock Screen progress, and smarter Apple Health insights.
Read the build notesE.01Active
Full-stack portfolio dashboard with a FastAPI backend and a React frontend. Showcases projects, skills, and coding stats.
E.02Active
Mobile-first public map for Nassau, Suffolk, and NYC summer programs with a questionnaire flow, filters, source links, and location drawers.
E.03Active
Unified daily planner combining work block tracking, contest prep, and household coordination in one Next.js app.
E.04Active
Reusable Python library for end-to-end ML pipelines with data validation, feature engineering, and model evaluation.
E.05Completed
Bodybuilding contest-prep tracker with calorie/macro analysis, weight trend visualizations, and a progress photo timeline.
E.06Completed
Household task scheduler with fairness scoring, calendar views, and recurring chore management.
Opens this project's detail drawing sheet
Education
2 degrees · 2 certifications
Detail F · Inspection & certification
F.1Degrees
- MS, Data Science & Engineering City College of New York (CUNY)
- BS, Computer ScienceMinor in Mathematics · Queens College (CUNY)
F.2Certifications
| Item | Certification | Level | Year |
|---|---|---|---|
| F.2.1 | AWS Certified Developer | Associate | 2024 |
| F.2.2 | AWS Certified Solutions Architect | Associate | Not listed |
Detail G · Interface control
Public API
3 endpoints · GET · live
A real, live API behind the Personal Developer Dashboard. Profile, projects and stats, one request away.
Fig. 4 · Request traceSequence
$ curl https://dev-dashboard-api.onrender.com/api/me Live requestnot sent yet
Send makes a real GET from your browser. Status, size and round-trip time are measured live, not canned.