Mark Anthony Alejo

Backend Engineer | Frontend Engineer | Full Stack Software Engineer
San Diego, US | www.linkedin.com/in/mark-alejo-531b7835b | github.com/MarkAnthonyAlejo | portfolio-tan-five-93.vercel.app
Target roles: Backend Engineer | Frontend Engineer | Full Stack Software Engineer
Mark is a full-stack engineer who pivoted from firefighting into software development, bringing discipline and high-pressure problem-solving to architecting AI-powered developer tools. He specializes in shipping production-grade applications that combine modern frontend frameworks with robust backend systems, with proven expertise in performance optimization and code quality automation.
Selected Impact Highlights
AI-powered VS Code extension for technical debt evaluation: Architected TypeScript/Node.js/LLM integration reducing manual code review time by 15 minutes per session
Code review leadership: Conducted 5+ code reviews weekly for junior and senior engineers, shipping 5+ full-stack applications
Full-stack performance optimization across multiple applications: Reduced page load times and API response latency by 30% through routing optimization and asynchronous workflows
QA Audit and Documentation Platform: Built React/Flask/PostgreSQL full-stack system with role-based access control for mission-critical hardware chain-of-custody
Core Professional Competencies
Superpowers: AI/LLM integration (GPT-4, OpenAI API) into production applications, Performance optimization (30% latency reduction, load time improvements), Full-stack development across React, Node.js, Python with secure API design, Code quality automation and technical debt analysis tooling, CI/CD pipeline implementation and automated testing frameworks.
Role fit: DevTools Engineer (Mid-level, adjacent), Full Stack Engineer (Mid-level, primary), AI/ML Integration Engineer (Mid-level, secondary), Backend API Developer (Mid-level, secondary).
Selected Work & Outcomes
Candidate Kit / HiringFunnel
CANDIDATE CONVERSION KIT

Mark Anthony Alejo

Backend Engineer · Frontend Engineer · Full Stack Software Engineer
Candidate thesis

Mark is a full-stack engineer who pivoted from firefighting into software development, bringing discipline and high-pressure problem-solving to architecting AI-powered developer tools. He specializes in shipping production-grade applications that combine modern frontend frameworks with robust backend systems, with proven expertise in performance optimization and code quality automation.

Routing destination

Route to Backend Engineer, Frontend Engineer, Full Stack Software Engineer teams building high-throughput services in the candidate's core stack.

15
AI-powered VS Code extension for technical debt evaluation
30%
Full-stack performance optimization across multiple applications
4
documented proof points
3
best-fit target roles
MARKET PLACEMENT SNAPSHOT

Where this candidate belongs

Page 3
Primary lane

AI/LLM integration (GPT-4, OpenAI API) into production applications. Performance optimization (30% latency reduction, load time improvements). Full-stack development across React, Node.js, Python with secure API design. Code quality automation and technical debt analysis tooling.

Strong adjacent lanes

DevTools Engineer, Full Stack Engineer, AI/ML Integration Engineer, Backend API Developer.

Work model

On-site. Based in San Diego, US.

Compensation positioning

Targeting $100K+. Currently: Software Engineer.

Fastest close path

Recruiter screen → hiring-manager review → technical conversation around AI-powered VS Code extension for technical debt evaluation, Code review leadership, Full-stack performance optimization across multiple applications.

Best-fit roles
Backend EngineerFrontend EngineerFull Stack Software Engineer
Industry bridge logic

Mark's work in DevTools Engineer, Full Stack Engineer, AI/ML Integration Engineer translates directly into adjacent domains with similar architecture, scale, and reliability needs.

Employer-facing guardrails
  • Primary production depth is the candidate's core stack. Other tooling framed as ramp/adjacent unless proven.
  • Leadership framing is technical leadership (mentorship, code review, architectural direction). Formal people-management should be validated per role.
  • Additional interests are personal/research at present, not production claim.
Proof Dossier / Evidence before assertion
PROOF SECTION

Proof is organized by system, not by claim.

The next pages convert the resume into a reusable proof index: production systems, platform architecture, org-wide pattern ownership, and technical leadership.

Systems & Frameworks4
AAI-powered VS Code extension for technical debt evaluationArchitected TypeScript/Node.js/LLM integration reducing manual code review time by 15 minutes per session
CCode review leadershipConducted 5+ code reviews weekly for junior and senior engineers, shipping 5+ full-stack applications
FFull-stack performance optimization across multiple applicationsReduced page load times and API response latency by 30% through routing optimization and asynchronous workflows
QQA Audit and Documentation PlatformBuilt React/Flask/PostgreSQL full-stack system with role-based access control for mission-critical hardware chain-of-custody
Powered by Mark Anthony Alejo at current role > ai/llm integration (gpt-4, openai api) into production applications > performance optimization (30% latency reduction, load time improvements) > full-stack development across react, node.js, python with secure api design > code quality automation and technical debt analysis tooling
MASTER PROOF INDEX

Master Proof Matrix

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This reusable proof index maps common senior/staff engineering requirements to candidate proof. Role-specific addenda extend — not replace — this base matrix.

AI-powered VS Code extension for technical debt evaluation
High

Requirement: Deliver on ai-powered vs code extension for technical debt evaluation at production scale.

Proof: Architected TypeScript/Node.js/LLM integration reducing manual code review time by 15 minutes per session

Fit: direct
Code review leadership
High

Requirement: Deliver on code review leadership at production scale.

Proof: Conducted 5+ code reviews weekly for junior and senior engineers, shipping 5+ full-stack applications

Fit: direct
Full-stack performance optimization across multiple applications
High

Requirement: Deliver on full-stack performance optimization across multiple applications at production scale.

Proof: Reduced page load times and API response latency by 30% through routing optimization and asynchronous workflows

Fit: direct
QA Audit and Documentation Platform
High

Requirement: Deliver on qa audit and documentation platform at production scale.

Proof: Built React/Flask/PostgreSQL full-stack system with role-based access control for mission-critical hardware chain-of-custody

Fit: direct
AI/LLM integration (GPT-4, OpenAI API) into production applications
High

Requirement: Ship work that requires ai/llm integration (gpt-4, openai api) into production applications.

Proof: Demonstrated at prior roles.

Fit: direct
Performance optimization (30% latency reduction, load time improvements)
High

Requirement: Ship work that requires performance optimization (30% latency reduction, load time improvements).

Proof: Demonstrated at prior roles.

Fit: direct
CANDIDATE DOCUMENTATION

Technical Proof Catalog

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AIVSC
AI-powered VS Code extension for technical debt evaluation

Architected TypeScript/Node.js/LLM integration reducing manual code review time by 15 minutes per session

CODERE
Code review leadership

Conducted 5+ code reviews weekly for junior and senior engineers, shipping 5+ full-stack applications

FULLST
Full-stack performance optimization across multiple applications

Reduced page load times and API response latency by 30% through routing optimization and asynchronous workflows

QAADP
QA Audit and Documentation Platform

Built React/Flask/PostgreSQL full-stack system with role-based access control for mission-critical hardware chain-of-custody

DTE
DevTools Engineer

Mid-level — role fit: adjacent.

FSE
Full Stack Engineer

Mid-level — role fit: primary.

AIMLIE
AI/ML Integration Engineer

Mid-level — role fit: secondary.

BAPID
Backend API Developer

Mid-level — role fit: secondary.

PROOF EXHIBITS

Visual Evidence Index

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GitHub — public engineering surface

github.com/MarkAnthonyAlejo — public repositories, contribution activity, and open source project surfaces.

Portfolio — HiringFunnel

https://gethiringfunnel.com/u/mark-anthony-alejo

Hosted candidate portfolio with positioning, proof points, and conversion kit surface for recruiter routing.

LinkedIn — professional network

www.linkedin.com/in/mark-alejo-531b7835b

Professional profile and recruiter connection path.

Personal site

portfolio-tan-five-93.vercel.app

Additional portfolio and technical writing surface.

CONTACT AND CALL-TO-ACTION

Contact Mark Anthony Alejo

Page 8

Route this candidate now.

This kit is designed to survive internal forwarding. The fastest next step is a recruiter screen, hiring-manager review, referral handoff, or direct call.

Primary fit: Backend Engineer, Frontend Engineer, Full Stack Software Engineer.

How to reach Mark
Location: San Diego, US
Book a call →
Direct outreach is routed via HiringFunnel to protect candidate contact info.
Internal handoff note

Mark Anthony Alejo is a San Diego, US-based Backend Engineer. Mark is a full-stack engineer who pivoted from firefighting into software development, bringing discipline and high-pressure problem-solving to architecting AI-powered developer tools. He specializes in shipping production-grade applications that combine modern frontend frameworks with robust backend systems, with proven expertise in performance optimization and code quality automation. Best fit: Backend Engineer, Frontend Engineer, Full Stack Software Engineer.