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Hello, I'm

Samuel Setsofia

AI Architect & Machine Learning Engineer

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About Me

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Experience

4+ years
AI & Software Development

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Education

B.Sc. Biomedical Engineering
M.Sc. Artificial Intelligence

I’m an AI engineer passionate about building intelligent systems that move ideas from research to real-world impact. As a recent graduate from the prestigious MSAI program atNorthwestern University, I design cloud-native, agentic AI solutions spanning RAG architectures, multi-agent systems, and ML Ops pipelines. My work integrates large language models with scalable infrastructure to power human-centered innovation across education, healthcare, and global development. I’m driven by one goal — to transform how the world learns, builds, and collaborates with AI.

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Explore My

Key Skills

ML Architecture & AI

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RAG & Agentic RAG

Expert

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LLM Integration

Expert

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Agentic Frameworks

Expert

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Ensemble Methods

Experienced

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ML Ops

Experienced

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PyTorch & TensorFlow

Expert

Cloud Services

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AWS (EC2, Bedrock, Aurora)

Expert

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Lambda & CloudFormation

Experienced

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GCP & Azure

Experienced

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Auto-Scaling

Experienced

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Microservices

Experienced

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Docker & Kubernetes

Experienced

Data Systems & Vector DBs

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PostgreSQL pgvector

Expert

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Pinecone & Chroma DB

Expert

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Neo4j

Experienced

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MongoDB

Experienced

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Elasticsearch

Experienced

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Hybrid Search

Expert

Dev Stack & AI Tools

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Python & FastAPI

Expert

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LangChain & LangGraph

Expert

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Django & REST APIs

Experienced

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Cursor & Cursor AI

Expert

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Hugging Face

Experienced

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Amazon Titan & Bedrock

Expert

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Browse My Recent

Projects

Stroke Detection AI

Acute Stroke Detection using VAE

Deep learning project leveraging Variational Autoencoders to analyze facial symmetry and detect stroke symptoms through facial asymmetry reconstruction.

PyTorch VAE OpenCV Mediapipe
Food Fact AI

Food Fact Generator - GPT-2 Intelligence System

Advanced language generation model fine-tuned on 990K+ products to generate natural-language food descriptions with nutritional content and global availability data.

GPT-2 Transformers NLP 990K Products
MedEquip System

MedEquip - Medical Equipment Management

Full-stack maintenance management platform for healthcare institutions featuring predictive maintenance, real-time analytics, and inventory management.

React TypeScript Supabase PostgreSQL
Analytics Platform

Statistical Analysis & Visualization Platform

Cloud-based analytics system for the Global Poverty Research Lab at Kellogg, processing socioeconomic data for 2,000+ participants with real-time insights.

AWS SageMaker Plotly Dash QuickSight
CT Reconstruction

Low-Dose CT Image Reconstruction

Deep learning system using U-Net architecture to reconstruct high-quality CT images from low-dose scans, reducing radiation exposure while maintaining diagnostic clarity.

U-Net PyTorch Medical Imaging AWS GPU
LLM Research

LLM Persuasion Research

Investigating persuasive impact of Large Language Models across diverse demographic contexts at Northwestern University's C3 Lab.

LLMs Research Northwestern
Northwestern AI

AI Faculty Training Program

Led development of generative AI curriculum and workshops for 100+ educators, achieving 75% improvement in faculty AI proficiency at Northwestern University.

75% Improvement 100+ Educators Generative AI
Church System

Church Management System

Full-stack application with Neo4j graph database, automated CI/CD pipeline, and member attendance tracking improving pastoral care efficiency by 40%.

Neo4j CI/CD 40% Efficiency
Drug Discovery Project

Drug-Target Interaction Prediction

Ensemble machine learning models (Random Forest & XGBoost) for drug-target interaction prediction using molecular fingerprints from SMILES data.

Random Forest XGBoost SMILES
RL Game Agent

Oware RL Agent - Deep Q-Networks

Reinforcement learning agent using Deep Q-Networks to master the traditional African board game Oware through self-play.

Deep Q-Networks RL Game AI
IRC ChatBot

IRC Learning Companion ChatBot

Advanced document processing pipeline with hybrid RAG system achieving 93% information retrieval accuracy and 67% improved answer relevance.

93% Accuracy RAG System NLP
Medical AI Classifier

Medical Eye Disease Classifier

Computer vision model for automated eye disease classification using deep learning techniques for medical diagnosis support.

Computer Vision Medical AI CNN
Research AI Tool

Research Paper AI Assistant

AI-powered tool for research paper analysis, summarization, and knowledge extraction to accelerate academic research workflows.

NLP Research AI Summarization
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Get in Touch

Contact Me

šŸ“ Chicago, IL | (773) 200-7411