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Paul Woods Senior Full Stack &AI SpecialistPW

Paul Woods

Senior Full Stack &AI Specialist
1 recommendation
  • Suggested rate
    £400 / day
  • Experience8-15 years
  • Response rate100%
  • Response time1 hour
The project will begin once you accept Paul's quote.
Location and workplace preferences
Location
Shotts, United Kingdom
Remote only
Primarily works remotely
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4Followers
15Repos
0Gists
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Skill set
Industry fields of expertise
Paul in a few words
Strategic and versatile Senior Full Stack & AI Specialist with 10 years of experience designing, developing, and scaling web applications and AI-powered systems.
Adept at transforming complex product visions into functional, elegant, and high-performance digital solutions across industries, including SaaS, eCommerce, and EdTech. Proven expertise in building GPT-driven applications, AI storytellers, voice & image synthesis pipelines, and fullstack platforms using React, Node.js, Next.js, and Python.
Blends frontend craftsmanship with deep backend and AI engineering, delivering seamless user experiences, custom APIs, real-time systems, and end-to-end solutions that drive measurable outcomes.
Experience
  • Bondit
    Senior Full Stack &AI Specialist
    May 2023 - Today (2 years and 1 month)
    Berlin, Germany
    • Built AI-powered portfolio analytics dashboards using React, Next.js, TailwindCSS, and D3.js, supporting realtime performance tracking for asset managers.
    • Developed predictive models for credit scoring and portfolio risk assessment using Python, FastAPI, and scikitlearn, integrated into the product’s core intelligence layer.
    • Integrated GPT-based AI commentary using OpenAI API, enabling automated financial insights and alerts across client portfolios
    • Built modular services with Node.js and PostgreSQL, orchestrated with Docker and deployed via AWS Lambda for low-latency financial data workflows.
    • Implemented document parsing and summarization pipelines using LangChain, fine-tuned for finance-specific context.
    • Delivered token-efficient AI agents for scenario simulation using Hugging Face Transformers, Redis queues, and custom prompt engineering.
    • Created CI/CD pipelines in GitHub Actions and established automated tests with Jest and Cypress, maintaining 90% test coverage.
    • Worked closely with data scientists, quant teams, and product to refine model outputs and improve user-facing ML features.
    • Led internal demos and technical docs for model interpretability tools, using Streamlit and Plotly Dash.
    • Owned the full lifecycle of AI + front-end hybrid features, from research to delivery in production.
  • VCoach GmbH
    AI Focused Senior Full Stack Developer
    January 2021 - January 2023 (2 years)
    Munich, Germany
    • Architected modular frontends with Vue.js, Nuxt.js, and TailwindCSS, enabling real-time adaptive coaching interfaces.
    • Designed backend services in Node.js + Express, with high-performance queues and pub/sub pipelines using Redis for real-time audio feedback processing.
    • Integrated DeepSpeech and WebRTC to provide users with near real-time speech analysis and voice coaching metrics.
    • Developed sentiment and tone analysis systems using Hugging Face, BERT, and custom label training, classifying coaching tone across diverse accents and languages.
    • Created structured prompt testing tools using LangChain, enabling fast experimentation across multiple coaching personas and scenarios.
    • Managed secure session-based audio processing and anonymized transcript storage using PostgreSQL and Supabase.
    • Added enterprise-grade auth and billing using Stripe, OAuth2, and granular permission roles for L&D admins.
    • Integrated user behavioral feedback models for tailored improvement plans using ML classification pipelines.
    • Led AI reliability audits with developers and coaching specialists to align predictions with real-world outcomes.
    • Delivered key AI features with a human-first design philosophy — always blending insights with actionable UX.
  • BJSS
    Software Engineer
    January 2018 - January 2021 (3 years)
    • Delivered high-performance web apps using React, Node.js, GraphQL, and MongoDB, serving sectors like insurance, transportation, and retail.
    • Designed backend microservices with NestJS and integrated them with real-time APIs and external vendor platforms.
    • Built UI component libraries in TypeScript for reuse across large-scale frontend apps, with full Jest + Storybook coverage.
    • Refactored legacy apps into microservices and SPAs, improving maintainability and CI/CD speed.
    • Implemented secure login and SSO systems using OAuth2, JWT, and role-based access controls.
    • Maintained robust CI/CD pipelines with GitLab, Docker, and deployment on AWS ECS.
    • Conducted architecture reviews and tech evaluations across squads, contributing to platform stability and scalability.
    • Acted as a technical lead during client handover processes, documenting all delivery pipelines and dev standards.
    • Trained junior developers and led bi-weekly knowledge-sharing sessions on frontend best practices.
    • Drove sprint delivery in close collaboration with designers, testers, and delivery managers.
1 recommendation
LM

Lukas Meier recommend Paul

Lukas MeierLM
Lukas Meier
VCoach GmbH
10/05/2025
Paul has consistently exceeded our expectations as a Senior Full Stack & AI Specialist. Their deep understanding of both front-end and back-end technologies, coupled with a strong expertise in AI, has played a pivotal role in transforming our products. Whether it's optimizing performance, implementing scalable solutions, or integrating cutting-edge AI models, Paul delivers exceptional results every time. Beyond technical prowess, he are a natural leader, mentoring others and fostering a collaborative environment. It's rare to find someone who combines innovation with practical execution, and Paul does it flawlessly.
Education
  • Bachelor of Science
    Teesside University
    2015
    Bachelor of Science in Computer Science
Certifications