Samuel Jaja

ML/GenAI Engineer | RAG Systems & LLM Fine-tuning

AWS Certified AI Practitioner specializing in production GenAI systems, retrieval-augmented generation, and serverless cloud architectures. Building intelligent AI solutions for banking and regulatory compliance.

Featured Projects

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.

PythonLLaMALoRAChromaDBLangChain
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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.

FastAPIAWS BedrockTerraformNext.js
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MCP-Agentic-TraderNet

Autonomous multi-agent trading system with real-time market data integration, AI research tools, and strategy memory for acting on trading opportunities.

PythonCrewAIMCPReal-time Data
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RAG Document QA System

Production-grade document question-answering system using AWS Bedrock and LangChain for intelligent document retrieval and analysis.

AWS BedrockLangChainPythonFastAPI
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About Me

Experience

R&D Software Engineer

CypherCrescent | Jan 2022 - Dec 2024

Developed enterprise-grade backend services with 40% cost savings. Enabled 70% platform growth through efficient architectures.

Production Assistant

Cranswick Convenience Foods | Aug 2024 - Present

UK workplace experience ensuring data accuracy and compliance.

Education & Certifications

MSc. AI & Data Science (Distinction)

University of Hull, UK

Bachelor of Engineering

University of Port Harcourt, Nigeria

Certifications:

  • AWS Certified AI Practitioner
  • AWS ML Specialty (85% complete)
  • Databricks Fundamentals

Technical Skills

PythonFastAPIAWSLangChainRAG SystemsLLM Fine-tuningTerraformNext.jsC# .NETDatabricksDelta LakePyTorchTensorFlowDocker