Abbot Tubeine

Experience

Technical experience and applied work across engineering, security, and product.

A detailed look at each role—what was built, what was learned, and the technical context behind the work.

Timeline

Technical Experience and Applied Work

Eidos Health

Founder & CTO

Remote

  • Building a modern electronic medical records (EMR) platform designed for clinics and hospitals across Africa, covering patient registration, appointment scheduling, clinical documentation, physician workflow management, and operational analytics.
  • Architecting the core system around modular clinical workflows—intake, triage, consultation, lab orders, prescriptions, and discharge—so facilities can adopt modules incrementally without replacing existing processes overnight.
  • Designing the data layer to handle patient records, clinical notes, medication histories, and appointment graphs with strict access controls and audit logging to meet healthcare data handling requirements.
  • Leading product direction, technical architecture, and early user research with clinic administrators and physicians to validate workflow assumptions before building features.
EMR Healthcare Tech Full-Stack Product Architecture Africa Patient Management
eidos-health.com

CovenantIQ

Founder & CTO

Remote

  • Founded and leading development of CovenantIQ, an agentic AI platform for private credit teams that automates borrower reporting review, covenant extraction, compliance certificate analysis, and cited review memo generation.
  • Building agentic workflows that ingest credit agreements, financial statements, EBITDA addback schedules, and compliance certificates to identify covenant discrepancies, missing support, near-breaches, and borrower reporting risks.
  • Designing the core AI and document infrastructure for financial covenant intelligence, including document classification, source-grounded extraction, calculation comparison, human-in-the-loop review, and citation-backed audit trails.
  • Translating a manual, document-heavy private credit monitoring problem into a workflow-first AI product that helps analysts reduce review time, improve consistency, and surface portfolio risk earlier.
Agentic AI Private Credit Covenant Compliance Document Intelligence NLP LLM Workflows

Google

Software Engineer Intern

Mountain View, CA

  • Designed and shipped a new Ad Inspector feature that enabled publishers to inject custom GAM and AdMob test-ad configurations, reducing internal QA setup time by cutting manual test-ad creation steps across both iOS and Android Decagon SDK releases.
  • Wrote and validated SDK-level integration tests for the configuration parameter pipeline, catching 3 edge cases in cross-platform payload serialization before the feature reached beta.
  • Authored a technical design document evaluating two competing API surface approaches, presented trade-offs to senior engineers on the Ads SDK team, and drove the final decision on API boundaries that maintained backward compatibility.
  • Coordinated daily with the Android, iOS SDK, UI, and Product Management teams to scope requirements, resolve interface conflicts between platform-specific rendering paths, and deliver the feature within a single-quarter timeline.
Android SDK iOS SDK Ad Inspector GAM AdMob Protobuf Design Docs Cross-Platform
Launched product

Adam Networks

Offensive Security Engineer Intern

Ontario, Canada

  • Executed full-scope web application penetration tests against 4 client-facing applications following OWASP Testing Guide v4, identifying 12 vulnerabilities including broken access control, IDOR, and stored XSS across production environments.
  • Built and delivered proof-of-concept exploits for each critical finding, demonstrating real attack chains to development teams and reducing average remediation turnaround from 3 weeks to under 10 days.
  • Performed OSINT reconnaissance across public-facing assets, discovering exposed credentials in a client's code repository and an unsecured S3 bucket leaking internal documents.
  • Produced structured penetration test reports with CVSS-scored findings, step-by-step reproduction instructions, and prioritized remediation guidance that the engineering team used directly in sprint planning.
OWASP OSINT Penetration Testing Burp Suite Nmap CVSS Vulnerability Reporting

HeadStarter AI

Software Engineer Fellow

Remote

  • Led a team of four engineering fellows through weekly Agile sprints, running standups, backlog grooming, and retros while shipping 3 AI-powered applications from zero to production in 5 weeks.
  • Built a RAG-based customer support assistant using Next.js, OpenAI embeddings, and Pinecone vector search, achieving sub-2-second query response times on a 10K-document knowledge base.
  • Reduced generative model inference latency by 40% through request batching, parallel API calls, response streaming, and payload trimming—validated with custom timing instrumentation.
  • Integrated Stripe billing and subscription management into a SaaS flashcard product, handling webhook event processing, idempotent payment flows, and production error monitoring.
Next.js OpenAI Pinecone Stripe RAG Agile CI/CD Vercel

Abiex Security

Founder

Remote

  • Founded and operate a security consultancy delivering web application, API, and network penetration tests for small organizations and nonprofits that lack in-house security resources.
  • Designed the full engagement workflow from scoping questionnaires through final reporting, standardizing a repeatable methodology across OWASP web app testing, API fuzzing, and network enumeration.
  • Developed client-facing educational materials—threat model walkthroughs, remediation playbooks, and post-engagement debriefs—that translate technical findings into business-level risk language.
  • Configured and maintained internal testing infrastructure including Kali Linux environments, Burp Suite Professional, custom wordlists, and automated recon scripts for asset discovery.
Startup API Security Network Testing Burp Suite Kali Linux Reporting Client Education

FaithTech

Software Engineer

Remote

  • Collaborated with a distributed engineering team to build an AI-assisted Digital Missionary Assistant that routes and triages incoming correspondence, reducing manual review load for field workers.
  • Built Python automation pipelines that classify inbound message intent using keyword extraction and rule-based scoring, prioritizing genuine seekers for follow-up and filtering noise.
  • Designed the data flow architecture between the intake form, classification engine, and case management dashboard, ensuring clean handoffs and minimal data duplication.
  • Contributed to sprint planning, code reviews, and technical documentation within a volunteer engineering team spanning multiple time zones and skill levels.
Python AI Automation Workflow Design NLP Remote Collaboration