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

Profile
At a glance

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
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.
Get QuoteAPI Development
High-performance RESTful APIs with FastAPI and Django handling 5K+ requests/day.
Get QuoteMLOps & Deployment
End-to-end ML pipeline deployment with Docker, Kubernetes, and cloud platforms.
Get QuoteTechnical Consulting
Strategic ML/AI implementation guidance and team mentoring for scalable solutions.
Get QuoteResume
Education & Experience
Education
ISBAT University
Specialized coursework in NLP, Cloud Architecture, API Design, and ML Deployment. Focus on production systems and enterprise-grade AI implementation.
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.
Harvard University (edX)
Mastered Python fundamentals, data structures, algorithms, and software engineering principles. Built comprehensive projects demonstrating clean code and testing practices.
Experience
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.
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.
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

E-commerce Semantic Search Engine

MLOps Pipeline Automation
News
Latest blogs
2024-12-15 / By Asiimwe PatrickBuilding a Production-Ready Sentiment Analyzer with 89% Accuracy
How I architected an NLP pipeline using FinBERT, spaCy, and FastAPI with RAG integration via Pinecone.
Scaling E-commerce Search with FAISS and Kubernetes
Deep dive into building a semantic search microservice that increased product discoverability by 25%.

2022-03-10 / By Asiimwe PatrickHow I Saved 780 Hours Annually with Python Automation
Case study of eliminating manual financial reporting through Python automation.
FAQ
Frequently Asked Questions
Have a question?
Say Hello!
Address
Mbuya Hill,
Kampala
Phone
+256786077227
connect.asiimwe@gmail.com