Hello!
This is Asiimwe Patrick
Python Engineer | ML/NLP Specialist | MLOps Developer

Asiimwe Patrick - Senior Python Engineer

Profile

At a glance

Asiimwe Patrick profile picture

About Me

Passionate Python Engineer specializing in ML and NLP.

Python Engineer with hands-on experience in ML, NLP, microservices and MLOps. I engineer production-grade FastAPI/Django APIs, deploy transformer-based models, and optimize vectorized pipelines for low-latency inference. Proven collaborator across product and engineering teams, driving scalable solutions using Docker, Kubernetes and modern ML frameworks.

Oracle Certified Professional

Oracle Certified Professional
Generative AI & Data Engineering

Certified in Generative AI, Python Programming, and Data Engineering. Specialized in production ML systems and enterprise-grade API development.

Services

What I'm Delivering

ML/NLP Development

Production-grade machine learning models and NLP systems with 89% accuracy rates.

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API Development

High-performance RESTful APIs with FastAPI and Django handling 5K+ requests/day.

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MLOps & Deployment

End-to-end ML pipeline deployment with Docker, Kubernetes, and cloud platforms.

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Technical Consulting

Strategic ML/AI implementation guidance and team mentoring for scalable solutions.

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Resume

Education & Experience

Education

2023 - 2026 B.Sc. Artificial Intelligence & Machine Learning

ISBAT University

Specialized coursework in NLP, Cloud Architecture, API Design, and ML Deployment. Focus on production systems and enterprise-grade AI implementation.

2024 Machine Learning & Deep Learning Specializations

Stanford University (Coursera - Andrew Ng)

Completed comprehensive ML/DL specializations covering supervised learning, neural networks, CNNs, RNNs, and transformers. Applied advanced algorithms to real-world projects with TensorFlow and PyTorch.

2023 CS50's Introduction to Programming with Python

Harvard University (edX)

Mastered Python fundamentals, data structures, algorithms, and software engineering principles. Built comprehensive projects demonstrating clean code and testing practices.

Experience

2020 - 2022 Data Analytics Assistant

Belparthill Enterprises

Engineered Python automation scripts and Pandas data pipelines, containerized with Docker. Reduced manual reporting by 100%, saving 780 hours annually with 99.8% data accuracy.

2024 ML Engineer (Project-Based)

Stock Sentiment Analyzer - Fintech

Architected NLP pipeline using spaCy, FinBERT, and FastAPI with RAG integration via Pinecone. Achieved 89% sentiment accuracy, reduced hallucinations by 30%, handling 5K+ requests/day.

2023 Backend Engineer (Project-Based)

E-commerce Semantic Search Engine

Built FAISS-based semantic search microservice with LLM prompt chains. Deployed on AWS using Docker and Kubernetes, increasing search engagement by 25% with horizontal autoscaling.

Portfolio

Some Inspiration

  • All
  • FinTech
  • E-commerce
  • MLOps
  • Data Engineering
Stock Sentiment Analyzer
Python, FinBERT, FastAPI

Stock Sentiment Analyzer

E-commerce Semantic Search Engine
MLOps Pipeline Automation
MLflow, Docker, Kubernetes

MLOps Pipeline Automation

News

Latest blogs

Building a Production-Ready Sentiment Analyzer with 89% Accuracy 2024-12-15 / By Asiimwe Patrick

Building a Production-Ready Sentiment Analyzer with 89% Accuracy

How I architected an NLP pipeline using FinBERT, spaCy, and FastAPI with RAG integration via Pinecone.

2023-08-22 / By Asiimwe Patrick

Scaling E-commerce Search with FAISS and Kubernetes

Deep dive into building a semantic search microservice that increased product discoverability by 25%.

Scaling E-commerce Search with FAISS and Kubernetes
How I Saved 780 Hours Annually with Python Automation 2022-03-10 / By Asiimwe Patrick

How I Saved 780 Hours Annually with Python Automation

Case study of eliminating manual financial reporting through Python automation.

FAQ

Frequently Asked Questions

I specialize in Python with FastAPI and Django for backend development, scikit-learn, TensorFlow, and Hugging Face Transformers for ML/NLP, and Docker, Kubernetes for deployment. I'm Oracle Certified in Generative AI and have hands-on experience with production systems handling 5,000+ requests daily with 89% accuracy rates.

Yes, I'm based in Kampala, Uganda (GMT+3) and actively work with international clients. I have experience collaborating across time zones and maintain flexible working hours to accommodate different regions. I provide regular updates and use modern collaboration tools for seamless remote work.

Project timelines vary by complexity: Simple FastAPI services typically take 1-2 weeks, ML model deployment projects take 3-4 weeks, and complete MLOps pipelines take 6-8 weeks. I provide detailed project timelines upfront and maintain regular progress updates. My automation experience has helped clients save 780+ hours annually.

I work with both existing codebases and new projects. I have experience optimizing legacy Python systems, upgrading Django/FastAPI applications, improving ML model performance, and implementing MLOps practices. I follow SOLID principles and conduct thorough code reviews to ensure maintainable, scalable solutions.

I have practical experience in FinTech (sentiment analysis for financial markets with 89% accuracy), E-commerce (semantic search engines that increased engagement by 25%), and Data Analytics (automated reporting systems). I'm adaptable to new domains and focus on understanding business requirements to deliver tailored ML/API solutions.

Yes, I provide comprehensive post-deployment support including monitoring, bug fixes, performance optimization, and feature updates. I implement proper logging, monitoring systems, and documentation to ensure smooth operation. Support packages can be customized based on your needs - from basic maintenance to full MLOps management.

Have a question?

Say Hello!

Address

Mbuya Hill,
Kampala

Phone

+256786077227

Email

connect.asiimwe@gmail.com

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