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Nuel Edward

@nueledward

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AI/LLM Engineer at VISTA Lab, where I built a RAG framework indexing 400,000 clinical trial records with 95%+ recall.

Portugal

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At VISTA Lab, I designed and deployed an end-to-end AI generation framework, including a RAG pipeline over 400,000 clinical trial records. The semantic search system achieved 95%+ recall, with a 6,000x speedup over exact search.

I also fine-tuned Qwen2-7B-Instruct with LoRA on an NVIDIA A100 via SLURM, reaching a BERTScore F1 of 0.8358. I built the MLOps workflow with DVC, TensorFlow, Weights & Biases, and MLflow, and instrumented LLM pipelines with Langfuse and LangSmith.

Previously, I built and maintained Python/Django applications at Realmind Technologies and deployed containerized services on GCP/GKE and AWS EC2. At Virtual Intelligence Solutions, I migrated a CI/CD pipeline to GitHub Actions and optimized Techcabal’s database queries and caching strategy, improving page load speed by 60%.

Experience

Work history, roles, and key accomplishments

Current

AI / LLM Engineer

Current

VISTA Lab

Jun 2025 - Present (1 year 4 months)

Designed and deployed an end-to-end AI generation framework including RAG pipeline, Milvus vector database, LLM fine-tuning, and automated evaluation suite. Built a full MLOps pipeline with DVC, TensorFlow, Weights & Biases, and MLflow.

Python RAG Milvus LLM Fine tuning LoRAs TensorFlow DVC Weights Biases MLFlow Langfuse Langsmith PyMuPDF Tesseract OCR Selenium Slurm HPC

Software Engineer

Virtual Intelligence Solutions

Dec 2023 - Jun 2025 (1 year 6 months)

Maintained 100% uptime over six months through proactive monitoring and structured logging. Migrated CI/CD pipeline to GitHub Actions and conducted performance audit of Techcabal platform, improving page load speed by 60%.

Python GitHub Actions CI CD PostgreSQL MongoDB BeautifulSoup Pandas Performance Optimization Logging

Software Engineer

Realmind Technologies

Nov 2021 - Dec 2023 (2 years 1 month)

Built and maintained production Python/Django applications with PostgreSQL, Celery, JWT authentication, Docker, and REST APIs. Deployed and orchestrated containerized services on Kubernetes (GCP/GKE).

Python Django PostgreSQL Celery JWT Docker Kubernetes GCP GKE REST APIs React EC2 Railway Heroku DigitalOcean

Software Developer

OAA Study

Oct 2020 - Oct 2021 (1 year)

Automated large-scale data collection with Python and BeautifulSoup, improving data processing efficiency by 100% through pipeline automation and robust logging. Designed database models and integrated front-end with back-end APIs.

Python BeautifulSoup Data Processing Database Design API Integration Logging

Data Science Intern

Databytes Software Pvt Ltd

Jan 2020 - Sep 2020 (8 months)

Involved in end-to-end ML projects including scoping, data cleaning, visualisation, model development and evaluation, debugging, and version management.

Machine Learning Data Cleaning Data Visualization Model Development Model Evaluation Debugging Version Control

Education

Degrees, certifications, and relevant coursework

University of Évora

Master of Science, Artificial Intelligence and Data Science

2024 - 2026

Completed MSc in Artificial Intelligence and Data Science, with thesis research on AI-assisted clinical trial design, including a production-grade AI framework with fine-tuned LLM and RAG pipeline.