AI Engineer / GMT+8
Mark Spencer Jordan
I build production-grade AI systems across LLM pipelines, prompt engineering, voice agents, computer vision, and automation.
98%
CV accuracy
5K+
organic visits
Sub-1s
coding assistant completions
Champion
thesis award
Live
voice portfolio guide
Voice portfolio agent
Ready to demo
projects
Selected Work
Case-study style snapshots of AI systems, prototypes, and production-facing work.
voice aiPersonal Portfolio - AI Voice Agent
This very website. An AI-powered portfolio where visitors can talk to a voice agent that navigates the page in real time.
Proof
Voice-first interaction with sub-600ms latency via Vapi
computer visionComputer Vision - Science Centre Optimization
Optimized CV models for a Science Centre, reaching 98% classification accuracy under strict memory constraints.
Proof
98% classification accuracy under memory constraints
machine learningGrow A Garden Chat - RAG Chatbot
AI chatbot using RAG with Pinecone that answers questions from the Grow A Garden wiki. Reached 5,000+ visits.
Proof
5,000+ visits with organic growth
web developmentCode Genie - AI Python Coding Assistant
Flask + Monaco Editor web IDE delivering sub-1s ghost-text completions for Python using an LLM selection loop.
Proof
Sub-1s ghost-text completions in the browser
machine learningAnimoEats - Award-Winning Thesis
Institutional Thesis Competition Overall Champion at DLSU-Dasmarinas. AI-powered platform addressing student nutrition.
Proof
Institutional Thesis Competition Overall Champion
skills
Capabilities
Not just a list of tools - the operating areas where I can turn AI into working product behavior.
AI & Prompt Engineering
Reliable prompt systems with tests, guardrails, and measurable quality.
Used in production NLP and prompt evaluation workflows.
Explore prompt systemsPrompt Guardrails
Production prompt architectures, policy boundaries, output constraints, and failure-mode handling
LLM Evals
Evaluation sets, async batch testing, LLM-as-judge scoring, regression tracking, and quality monitoring
RAG Pipelines
Pinecone vector DB, OpenAI embeddings, semantic search, document ingestion, and chunking
Prompt Injection Testing
Direct attacks, persona swaps, social engineering, data exfiltration attempts, and policy-compliance testing
Voice AI & Automation
Conversational interfaces that can listen, respond, and trigger UI actions.
This portfolio is wired with Vapi and client-side tool execution.
Explore voice aiVapi
Assistant configuration, call flows, STT/LLM/TTS orchestration, and client-side tools
ElevenLabs
Text-to-speech synthesis and voice integration through Vapi TTS providers
Function Calling / Tool Use
JSON tool schema design, mid-conversation tool invocation, client-side execution, and edge case handling
Process Automation
End-to-end workflow automation, API orchestration, and business process encoding at scale
Machine Learning & Computer Vision
Applied ML and CV work tuned for real deployment constraints.
98% CV classification accuracy under memory constraints.
Explore computer visionComputer Vision
OpenCV, object detection, model quantization, classification, and resource-constrained deployment
TensorFlow / Deep Learning
Model training, inference optimization, neural networks, and quantization
Python
Primary language for ML, automation, backend work, data processing, and evaluation frameworks
LangChain / Multi-Agent Systems
QA automation with multi-agent architectures, tool-use chains, and Streamlit deployment
Web & Development Tools
Full-stack prototypes and portfolio-grade apps that ship quickly.
Next.js, Flask, Streamlit, APIs, and production deployment workflows.
Explore ai mvpsTypeScript / JavaScript
Next.js, React, and type-safe frontend and backend development
Flask / Streamlit
Rapid prototyping, web app deployment, Monaco Editor integration, and custom domains
REST APIs & Webhooks
API integration, webhook handling, async processing, and error management at scale
Git & CI/CD
Version control, GitHub Actions, Vercel deployment, and collaborative workflows
experience
Experience
A credibility ledger of production work, client projects, research, and early founder experience.
AI Engineer
Built and maintained production NLP pipelines for multilingual customer service automation at enterprise scale.
- Improved classification reliability through data-driven prompt evaluation and regression testing
- Designed prompt injection and policy-compliance testing workflows for production LLM systems
- Built async evaluation infrastructure to support prompt quality monitoring and iteration
- Identified privacy and compliance risks in redaction workflows and supported architecture improvements
AI Engineer
Optimized computer vision models for a Science Centre, restructuring backend architecture and implementing quantization to meet strict memory constraints while achieving 98% classification accuracy.
- 98% classification accuracy under strict memory constraints
- Model quantization for resource-limited hardware deployment
- Backend architecture restructuring for CV inference performance
Prompt Engineer / AI Engineer Contractor
Freelance AI engineering across healthcare and social media automation. Curated clinical prompt templates, built RAG prototypes for therapy session automation, and optimized social media agent prompts.
- Curated 30+ prompt templates for psychological trial notes (Empiric Health)
- Built clinical session automation prototypes on Streamlit with RAG + Pinecone
- Optimized prompts for social media agent automation (Sintra AI)
Artificial Intelligence Intern
Completed intensive AI bootcamp and built a QA automation system using multi-agent architectures. Collaborated with cross-functional teams on AI-driven products.
- Developed QA automation system using multi-agent systems in LangChain + Streamlit
- Completed intensive one-month AI bootcamp on advanced ML concepts
- Collaborated cross-functionally on AI-driven solutions and product development
AI Intern
Developed a shipment tracking prototype using various APIs for logistics optimization.
- Built shipment tracking prototype integrating multiple logistics APIs
Founder
Founded an NFT project on Solana. Engineered smart contracts, managed a team of developers and social media managers, and built a game within the Sandbox Metaverse.
- Engineered Solidity smart contract for token accrual by NFT owners
- Led team of developers and social media managers
- Built game within Sandbox Metaverse
- Cultivated partnerships within NFT and Philippine tech sectors
about
Builder, Operator, AI Engineer
A practical AI engineer who cares about useful systems, measurable quality, and clear product outcomes.
Based in GMT+8
AI Engineer specializing in LLM prompt engineering, NLP pipeline architecture, and computer vision. Currently building production-grade customer service automation at enterprise scale, with a focus on reliable prompt systems, evaluation workflows, and privacy-aware AI architecture. From award-winning research to public AI tools, I consistently build practical AI solutions that make a real-world impact. Now expanding into voice AI and conversational agents - this portfolio itself is proof.
Location
Makati, Philippines (GMT+8)
Role
AI Engineer
Recognition
Thesis Competition Champion
Focus
LLM systems, voice AI, CV
5+
Projects
98%
Accuracy
Champion
Award
contact
Work With Me
Best fit: AI automation, prompt and NLP pipelines, voice agents, RAG, CV, and fast proof-of-concept builds.
I'm open to new opportunities and freelance work where the scope needs actual AI engineering: evaluation, guardrails, automation, voice UX, or model-powered product workflows.
markspencerjordan@gmail.com
Location
Makati, Philippines (GMT+8)
Resume
Resume available on request
Shared directly for the right role or project.