Ibraheem Abdul-Malik

Ibraheem Abdul-Malik

Founding engineer and applied AI

Takes software from discovery to production: the interface, the services behind it, and LLM agents with retrieval, human review and access controls.

Austin, TX · hello@ibraheem.com

Experience

Architect Health · Healthcare vendor evaluation and procurement platform

Founding Engineer, Mainstay Health · Employee-benefits broker platform

Aug 2026 – Present

  • Building the broker platform: a TypeScript monorepo on row-level-security Postgres, with WorkOS auth and Terraform on AWS.
  • Took employer onboarding from prototype to production: payroll connection through Finch, an estimated monthly bill and a contract step.
  • Built eligibility census ingestion for messy employer files, with explicit COBRA and waiver decisions.
  • Owned the proposal-to-contract path, the team's first broker deliverable: shareable proposals, email delivery and e-signature, with status back to the broker.

Founding Engineer · New York, NY

Sep 2024 – Present

  • Owned the v1 platform from discovery to production with the founder, writing about two-thirds of the production code.
  • Rebuilt AI search as a Python tool-calling agent with 11 typed tools (Pydantic AI, Claude, pgvector), with tenant identity set by the session rather than the prompt.
  • Built an LLM service that scores 500+ digital health solutions against plan-design criteria, with human review for low-confidence matches.
  • Built a claims ROI pipeline that parses claims files with flexible column mapping, then scores provider quality and preventive-care ROI with LLM passes.
  • Took the platform through SOC 2 Type II, with 1,500+ backend tests and HIPAA safeguards: encryption at rest, audit logging and access controls for PHI.

Rocket Dollar · Fintech for self-directed retirement accounts

Software Engineer, Contract · Remote

Apr 2023 – Aug 2023

  • Migrated the backend from Serverless to FastAPI at a Series A fintech, cutting API latency 65%.
  • Built data-processing pipelines and API documentation that improved the developer workflow.

LinkedIn

Senior Software Engineer, LinkedIn News · New York, NY

Mar 2021 – Oct 2022

  • Led search relevance and recommendation systems for LinkedIn News, on a platform of 850M+ members.
  • Owned and overhauled the A/B testing infrastructure for News surfaces, improving experiment velocity and statistical rigor.
  • Drove UI decisions with online experimentation, instrumenting components for A/B tests and analytics to validate UX changes and inform rollout.
  • Built editorial tooling that streamlined publishing for 100+ News editors, letting them scale daily coverage.
  • Mentored junior and mid-level engineers through design reviews, and led the LinkedIn Black Inclusion Group NY chapter.

Software Engineer, LinkedIn News · New York, NY

Oct 2019 – Mar 2021

  • Owned event-driven processing systems handling millions of daily events at sub-second latency.
  • Built reusable microservices and tooling adopted across the team.
  • Delivered core features across Search, Inbox, Homepage and Notifications in LinkedIn News, full-stack from typed APIs to responsive UI.

Software Engineer, Sales Navigator · San Francisco, CA

Apr 2017 – Sep 2019

  • Led a front-end migration from legacy Ember to a modern component framework, cutting page-load times 30%.
  • Built a reusable component library with integrated analytics, standardizing UI across activation and onboarding flows.
  • Delivered full-stack features end to end: API design, backend and responsive UI.

Education

Harvard Extension School · Master of Liberal Arts in Software Engineering

2025

The University of Texas at Austin · Bachelor of Business Administration in Marketing

2008

Skills

Applied AI
LLM agents, RAG, tool use, structured outputs, human-review workflows, prompt-injection hardening, pgvector and embeddings
Experimentation
A/B testing infrastructure, search relevance, retrieval measurement
Healthcare and security
HIPAA, SOC 2, PHI access controls, audit logging, row-level security, AWS IAM
Engineering
Python, TypeScript, Django, FastAPI, React, PostgreSQL, AWS, Terraform, Kafka, AI coding agents (Claude Code, Codex)

Patent

US Patent 11,250,716: Network System for Contextual Course Recommendation Based on Third-Party Content

Feb 2022

A browser extension that extracts keywords from web pages and returns relevance-scored course recommendations. Microsoft Technology Licensing, LLC.