Samuel Jaja
AI/ML Software Engineer | Multi-Cloud(AWS First)
AI/ML Systems Engineer and Full-Stack Developer with 5+ years of experience building intelligent systems that combine data engineering, machine learning, and cloud infrastructure. Skilled in LLM fine-tuning, Retrieval-Augmented Generation (RAG), and agentic AI using AWS (Lambda, SageMaker, Bedrock, Terraform). Experienced in distributed data processing with Apache Spark and PySpark on Databricks for scalable ML workflows and data lakehouse architectures, with cross-cloud experience in Azure and GCP. Strong background in Python, .NET, FastAPI, and React/Node for developing robust APIs and AI- driven applications. Passionate about creating production-ready, explainable, and compliant AI systems that improve human-computer interaction.
Featured Projects
A selection of production AI systems, machine learning projects, and data science work. View all repositories on GitHub (SWE) and GitHub (AI/ML/Cloud/Data Science/Engineering).
RevGeni CRM – AI-Powered Sales Pipeline
Built full-stack enterprise SaaS CRM with Next.js 16, TypeScript, PostgreSQL, and GraphQL API serving AI-driven lead discovery, automated email sequences, and pipeline analytics. Integrated GPT-4 and Exa AI for intelligent company search, flexible multi-LLM architecture, and sub-5s AI response times.
PRIME – Multi-Agent Financial Advisor
Enterprise-grade, fully-serverless multi-agent AI platform for autonomous financial investment analysis. Orchestrates 5 agents via SQS and Lambda, distributed cross-region Bedrock setup, RAG pipeline with SageMaker embeddings, and full SaaS UI. Provisioned with Terraform, Langfuse, and Cloudwatch observability.
StructureGPT – RAG System for Building Regulations
Fine-tuned LLaMA-3.1-8b using LoRA and 8-bit quantization for UK Building Regulations compliance. Deployed to production on Hugging Face L4-GPU at $0.8/active hour with RAGAS evaluation.
AI Digital Twin – Production Serverless Architecture
Built full-stack production AI system using serverless AWS (Lambda, API Gateway, Bedrock, CloudFront). Achieved <200ms global response times with Terraform IaC and automated CI/CD.
UK Road Traffic Accident Analysis - Big Data & Mining Project
Led an in-depth analysis of UK road traffic accident data using advanced data mining techniques to identify patterns, predict future accident occurrences, and provide actionable safety recommendations. This comprehensive project combined temporal analysis, geographical clustering, association rule mining, and time series forecasting.
News Article Classification - Machine Learning & Deep Learning
I implemented and compared multiple text classification models for categorizing news articles into World, Sports, Business, and Sci/Tech categories. Developed a comprehensive solution using traditional machine learning approaches (Naive Bayes, Random Forest) and deep learning models (LSTM, Bi-LSTM).
About Me
Experience
AI Associate
GW Power-Safe, UK | Current
Design and implement AI-driven solutions to enhance company workflows by streamlining procedures, integrating systems, and automating processes. Support the testing, evaluation, and refinement of AI agents to strengthen risk identification and management. Maintain and enhance reporting tools, ensuring accuracy, usability, and efficiency. Collaborate with non-technical staff to understand business requirements and translate them into AI-enabled workflows and solutions.
Full-stack | R&D Software Engineer
CypherCrescent, Nigeria | Jan 2022 - Dec 2024
Developed enterprise-grade backend services with 40% cost savings. Enabled 70% platform growth through efficient architectures. Event-Driven Design: Implemented CQRS pattern with MediatR for command/query separation and event notifications, enabling loosely coupled microservices communication via Pub/Sub messaging patterns. Azure DevOps Integration.
Software Engineering Intern (ML & Software Development)
Integral Computing & Research Centre | June 2019 - Dec 2019
Built computation tools using C# for engineering tasks and learnt the fundamentals of both Machine Learning and Software Development.
Education & Certifications
MSc. Artificial Intelligence & Data Science (Distinction)
University of Hull, UK
Bachelor of Chemical Engineering (B.Eng)
University of Port Harcourt, Nigeria
Certifications:
- AWS Certified AI Practitioner
- AWS Certified Generative AI Professional (Exp Dec 2025)
- Databricks Fundamentals
- Databricks Generative AI Fundamentals