Hello, on this portfolio you will get to see my projects and experience my brand as a software engineer!
Mark Eric Fairweather
CTO & AI/ML Architect | 0-1 Startup Specialist | Full Stack Engineer
San Francisco · +1 (628) 249 2930 · rickyfairweather52@gmail.com
Summary
Mark is a 0-1 startup specialist who has architected AI and SaaS products from idea stage to millions of users. With extensive experience as a CTO and technical leader, he excels at building scalable systems and innovative AI solutions. His strongest skill sets include:
- ● AI/ML Engineering - Creating agentic systems, fine-tuning models, and developing multimodal AI pipelines
- ● Full-stack Development - Building scalable cloud-based distributed systems using MERN, GCP, AWS, and Docker
- ● Technical Leadership - Architecting systems, managing engineering teams, and driving product innovation
Work Experience
CTO & Architect (AI, ML & Fullstack Engineer)
Outdoorbuilders.com | May 2023 - July 2025
- Served as CTO and architect for an AI-first ERP system for the construction industry
- Created the first AI design flows delivering photorealistic renders of projects with precise products in 1 minute using an ensemble pipeline of models to autoclean and autoedit inputs
- Designed innovative UX flows requiring only 2 inputs and taking 4 seconds, revolutionizing industry standards
- Built an agentic AI-first ERP system centralizing intelligence for homeowners, contractors, and suppliers with custom CRM, RBAC, project management, and AI-powered chat systems
- Trained and deployed 200+ model ensembles in a cost-effective cloud cluster serving thousands of requests/second
- Developed frameworks for collecting and cleaning data from disparate internal archival sources
- Managed a team of 4 members working on data fidelity pipelines and collaborated with engineers on product development
Skills: MERN, GCP, AWS, Tanstack react-query, Docker, Diffusers, CLIP, ComfyUI, Python
Senior Full Stack Software Engineer & AI/Machine Learning Developer
Occams OPS | Sep 2024 - Feb 2025
- Led engineering of an on-prem enterprise AI stack for the legal industry ensuring data privacy & security
- Created agentic systems to generate fine-tuning datasets from diverse proprietary data sources including graph DBs, online records, and filesystem documents
- Finetuned an instruct LLM with 50 million+ entries of synthetic proprietary data to mimic legal behavior
- Built a search engine using dynamically generated DB queries, BM25 and Splade for context retrieval
- Developed a secure meeting agent similar to Fireflies, running on-premise with no internet connection and employing obfuscation techniques for data compliance
Skills: Celery, Rabbit MQ, Ollama, BM25, Splade, Typescript, NextJS, Python
Full Stack Software Engineer & AI/Machine Learning Developer
Story.com | Jun 2024 - Sep 2024
- Frontend Lead and ML engineer for an established B2C AI startup with > 1 million users
- Architected the first full AI movie production flows, combining AI image services, LLMs, and Eleven Labs to produce full episodes with consistent characters and narrative adherence
- Led platform refactoring and SEO initiatives, growing site traffic by 45% in 5 weeks and indexing over 500,000 new pages
- Implemented core flows for auth, subscriptions, and content production to optimize user experience and engagement
- Built multimodal AI generation pipelines with custom NLP and ViT NSFW prevention systems
Skills: Typescript, Tanstack react-query, tailwind, Open AI, Eleven Labs, Diffusers, NLP, Python, Pytorch
Software Engineer
Eduzuka
- Led development of a cloud-based education marketplace distributing knowledge content via advertising and content scheduling APIs
- Architected business-led features including dashboards, API abstractions, pipelines, and analytics
- Engineered search engine queries, payment integrations with Stripe & PayPal, and optimized for SEO
- Conducted user interviews and spearheaded user journey development based on business strategy
Skills: Git, Django, Flask, Postgres, Docker, Google Analytics, Hotjar, Facebook Marketing, Python, Javascript, HTML, CSS3, Node.js, NextJs, Distributed Systems
Engineer & Lead
Admiral
- Served as engineer and lead for e-commerce sites and dating apps for startups
- Built a centralized application for 58,000 restaurants, daters and users to manage social interactions with features including background check API and recommendation engine
- Developed a distance-based Machine Learning recommendation engine to match users based on profiles
- Cultivated lasting client relationships and trained colleagues to improve technical and business acumen
Skills: MERN, GCP, AWS, Docker, Cloudinary, Socket.io, Twilio, Machine Learning, Stripe, PayPal, Mpesa, Cloud
Data Engineer
PWC
- Supported data retention efforts at a Fortune 100 client with demonstrable impacts on bottom line and compliance with GDPR, CCPA, and CPRA laws
- Created a data validation and documentation pipeline from thousands of data sources to comply with CCPA
- Implemented a data standardization framework saving 3 hours per week per employee, substantially reducing costs and errors
Software Engineer
Fiskkit
- Developed social networking features including search and word processing with natural language libraries like Spacy
- Implemented SEO automation on React and Flask services
- Worked in a remote, agile, continuous integration environment with a team of engineers and designers
Skills: React, Redux, Django, Flask, Postgres, Docker, PHP, Agile, Continuous Integration, Git
Education
Minerva University
BSc in Computer Science with Applied Machine Learning & Artificial Intelligence
3.84 GPA, uncurved
Projects
Advanced RAG Systems
Developed a RAG application using intelligent database query construction, BM25, SPLADE and "Canopy querying" technique to expand queries for improved LLM precision. Implemented LLM agents for soft characteristic evaluation to trigger re-retrieval, regeneration, or reranking actions.
Prediction Models
Created synthetic datasets using local LLMs to re-architect and finetune BERT models for candidate fit prediction. Developed a hybrid recommendation engine utilizing feature engineering, sentiment analysis, and PCA.