Paul Doho
Fullstack/AI Engineer
I'm a full-stack software engineer with experience in building scalable applications, cloud infrastructure (AWS), CI/CD pipelines, and AI/ML systems.
Currently at Goldman Sachs, I focus on internal tooling and infrastructure projects. I contributed to building a documentation portal that transformed how engineering teams share and discover information across the organization. I am currently working on an internal full stack mobile app to help serve senior members of the firm.
I'm also a freelance AI/ML consultant at Excetra Lab, where I help businesses build production-ready ML systems and AI solutions.
I'm passionate about creating technology solutions that solve real-world problems, particularly in underserved markets.
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Experience
Excetra Lab
|AI/ML EngineerLondon, UK | Mar 2025 – Present
- Helped launch an AI consulting firm focused on building production-ready ML systems and AI solutions for enterprise-level clients
- Architected and deployed RAG-based document intelligence systems using Python, vector databases, and LLM APIs
- Developed asynchronous backend services with FastAPI to support real-time inference and high-speed data processing
Goldman Sachs
|Software Engineer II (Associate)London, UK | Jan 2025 – Present
- Develop enterprise solutions including Microsoft Teams and global notification systems using Graph API and SharePoint
- Architect NLP-powered documentation system using RAG patterns, vector embeddings, and GPT APIs to automate quality audits
- Engineer scalable backend services in Python, Go, and Java using AWS ECS, Lambda, and DynamoDB serverless architecture
- Optimized delivery lifecycles by 64% via GitLab CI/CD, saving engineering teams 4 hours of manual effort weekly
- Built high-traffic full-stack apps with React and Next.js, maintaining a platform serving 16k+ users and 1M+ monthly views
Goldman Sachs
|Software Engineer (Analyst)Salt Lake City, UT, USA | Jan 2022 – Dec 2024
- Engineered scalable UIs and front-facing components using React, TypeScript, and Gatsby to enhance internal client experiences
- Designed RESTful APIs in Java with MongoDB, improving data efficiency, reducing latency, and ensuring high reliability
- Architected cloud-native backend services leveraging AWS EC2, S3, and Lambda to deliver secure and scalable infrastructure
- Automated software delivery via CI/CD pipelines in Git environments, incorporating automated testing and containerization
- Collaborated with global teams to troubleshoot technical issues and refine data validation, minimizing system downtime
Projects
Monitoring service automating court tracking across ClubSpark and Courtside. Features intelligent 10-minute scraping, granular venue watches, and real-time Telegram and email alerts.
Ivory Coast Housing Platform
Contributing to a project bringing streamlined technology solutions to the housing sector in Cote d'Ivoire, helping modernize real estate processes.
Education
California State University
|Bachelor of Science|Computer ScienceNorthridge, CA, USA | 2018 – 2021
- Focused on software engineering, algorithms, and data structures
- Completed coursework in distributed systems, database design, AI models,and web development