Happy Smile
@happysmile
Senior AI and Python engineer building production LLM, RAG, and scalable MLOps systems.
ZimbabweWhat I'm looking for
I’m a Senior AI & Python engineer specializing in machine learning systems, large language models, and cloud-native backend services. I build and deploy production-grade AI platforms, automation systems, and high-performance infrastructure that teams can rely on in enterprise environments.
Most recently, I architected enterprise-grade AI copilots using Python, FastAPI, LangChain, HuggingFace, and OpenAI APIs—automating support operations for 15+ departments and reducing manual ticket handling time by 63%. I’ve also built scalable RAG systems processing 12M+ knowledge documents with sub-800ms retrieval latency, and led migrations to event-driven microservices with Kafka and async FastAPI, improving backend throughput by 55%.
I focus on measurable outcomes across performance, reliability, and operational efficiency, from model monitoring dashboards (Grafana/CloudWatch/BigQuery) to distributed inference pipelines (Ray, MLflow, Kubernetes). I’ve collaborated to implement SOC2 and GDPR-compliant AI workflows and mentored engineers on LLM orchestration, prompt engineering, and MLOps best practices to reduce onboarding time by 35%.
Experience
Work history, roles, and key accomplishments
Senior AI Engineer
NeuroScale AI
Jul 2024 - Dec 2025 (1 year 5 months)
Architected and deployed enterprise AI copilots that automated internal support for 15+ departments, cutting manual ticket handling time by 63%. Built scalable RAG and ML inference pipelines (sub-800ms retrieval latency; +45% deployment frequency; -28% infra costs) and delivered fraud/payment models improving anomaly detection +31% and reducing payment failures by 22% in 6 months.
Machine Learning Engineer
DataMind Labs
Oct 2022 - Feb 2024 (1 year 4 months)
Built large-scale ML pipelines processing 500GB/day of structured and unstructured data with Airflow, Kafka, and Spark for predictive analytics. Improved campaign conversion 26% and retention 19% using XGBoost/TensorFlow, optimized inference APIs (1.8s→700ms) with FastAPI+Redis, and automated retraining/release with MLflow and GitHub Actions to cut manual deployment effort by 50%.
Python Backend Developer
Quantum Metrics Systems
Mar 2020 - Jun 2022 (2 years 3 months)
Developed Django/Flask backend services and REST APIs for analytics platforms with 250,000+ monthly active users. Implemented asynchronous task processing with Celery/RabbitMQ (4M scheduled jobs/month, 99.95% completion), added OAuth2/JWT authentication for enterprise SaaS security, and containerized with Docker/Kubernetes to reduce deployment rollback incidents by 38%.
Education
Degrees, certifications, and relevant coursework
Massachusetts Institute of Technology
Bachelor’s degree
2015 - 2019
Earned a Bachelor's degree at the Massachusetts Institute of Technology (MIT) from 2015 to 2019.
Tech stack
Software and tools used professionally
Availability
Location
ZimbabweAuthorized to work in
Job categories
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