Lewis M.-AI/ML Engineer & Cloud Solutions Architect | Architecting Production-Grade Data & AI Systems | Generative AI | Python | GCP &
Check rate
Experience
Senior AI Engineer
Qubiten
- Lead end-to-end design and development of production-grade AI systems, from product discovery and architecture to deployment and scaling.
- Architect and build agentic AI platforms and domain-specific AI products (e.g., legal, civic, and knowledge assistants) using LLMs, RAG pipelines, and multi-agent orchestration.
- Own the full AI lifecycle: data ingestion and curation, embedding strategies, retrieval optimization, model selection, fine-tuning, evaluation, and continuous improvement.
- Design scalable backend services and APIs (FastAPI / Python), integrating AI workflows with web and mobile applications.
- Implement secure, cost-efficient AI infrastructure across cloud platforms, including monitoring, logging, and performance optimization.
- Collaborate closely with founders, product, and stakeholders to translate business and regulatory requirements into reliable AI systems.
- Establish best practices for AI safety, accuracy, explainability, and governance in real-world deployments.
- Contribute to product strategy, technical roadmaps, and long-term platform architecture for AI-driven products.
Senior Python Engineer (LLM Training & RLHF)
SuperAnnotate
- Perform technical audits of AI-generated Python code, evaluating algorithmic complexity, security risks, and adherence to production-grade design patterns.
- Author 'gold standard' reference implementations and detailed technical explanations to improve model reasoning and reduce hallucinations.
- Contribute to RLHF and alignment workflows, reinforcing enterprise software standards with a focus on maintainability, scalability, and correctness.
AI Research & Generative AI Specialist
Uber AI Solutions
- Collaborate with researchers and engineers to advance next-generation Generative AI systems through applied research and data evaluation.
- Translate high-level research objectives into structured data collection, benchmarking, and evaluation workflows.
- Design and refine AI benchmarking tasks aligned with scientific rigor, ethical standards, and real-world applicability.
- Create high-quality prompts, datasets, and evaluation artifacts that stress-test model reasoning and factual accuracy.
- Perform validation and fact-checking to reduce bias and misinformation in training and evaluation data.
Senior AI Engineer
High5
- Selected member of a curated global talent network supporting Fortune 500 and Global 2000 clients.
- Participated in AI-focused engagements spanning machine learning, NLP, and applied research.
GenAI Expert
TELUS Digital
- Led the design and prototyping of Generative AI solutions across enterprise platforms, focusing on automation and personalization.
- Advised product and engineering teams on GenAI architecture, including LLM selection, embeddings, RAG pipelines, and responsible AI governance.
- Built and evaluated AI-driven workflows using OpenAI APIs, LangChain, and vector databases.
- Drove experimentation, model evaluation, and performance optimization aligned with business objectives.
AI Data Specialist
RWS Group
- Evaluated and ranked LLM outputs using A/B testing, structured annotation, and qualitative feedback to improve accuracy and reliability.
- Designed and iterated on prompts to enhance coherence, factual grounding, and contextual reasoning.
- Supported RLHF pipelines by refining model behavior and alignment with human intent.
- Conducted AI safety and red-teaming reviews to identify risks related to bias, toxicity, and hallucinations.
AI/ML Engineer
Braintrust
- Architect, develop, and deploy end-to-end, production-grade AI systems, owning the full lifecycle from data ingestion and model development to secure API design and cloud deployment.
- Build and scale data-intensive backend services using Python (FastAPI, Flask), delivering clean, asynchronous REST APIs for real-time ML Inference.
- Design and ship advanced Generative AI systems, including: A production-ready Retrieval-Augmented Generation (RAG) pipeline for verifiable document analysis; A multi-agent LLM framework for robust function-call validation and tool orchestration.
- Implement MLOps pipelines using Docker, GitHub Actions, and Terraform across AWS and GCP, enabling automated training, validation, and deployment.
- Engineer secure, user-facing AI products with OAuth2/JWT authentication, supporting multi-tenant architectures.
- Design and optimize PostgreSQL and Redis data layers to achieve low-latency performance under production load.
Data Analyst
Qubiten
- Delivered data-driven insights through analytics, reporting, and dashboarding to support business and marketing decisions.
- Designed and maintained data models and pipelines across AWS-based analytics environments.
- Supported cross-functional teams with ad hoc analysis, experimentation, and performance reporting.
Data Analyst
Quebec
- Analyzed and interpreted complex data to support business decision-making.
- Designed and implemented data models, reports, and dashboards to streamline business processes.
- Collaborated with cross-functional teams to gather requirements and enhance data-driven strategies.
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Information Technology, Professional Services, and Government and Administration.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Information Technology, Business Intelligence, Marketing, Product Development, Research and Development, and Strategy.
Summary
A results-driven AI Engineer and dual-certified Cloud Solutions Architect (GCP & AWS) specializing in architecting, developing, and deploying secure, full-stack, production-grade AI systems. I possess a proven track record of owning the end-to-end project lifecycle, from high-level system design to hands-on implementation of sophisticated Generative AI applications, secure backends, and scalable cloud infrastructure. My expertise lies in building reliable, data-intensive products with a security-first mindset, evidenced by deep experience in authentication flows (OAuth2/JWT), MLOps, and optimizing high-traffic databases.
Skills
- Ai & Ml: Generative Ai, Llm Agent Workflows (Rag, Tool-Use), Multi-Agent Systems, Langchain, Langgraph, Prompt Engineering, Rlhf, Fine-Tuning
- Cloud & Devops: Gcp Professional Cloud Architect, Aws Solutions Architect, Docker, Ci/Cd (Github Actions), Mlops, Infrastructure As Code (Terraform), Serverless Computing
- Backend & Dbs: Python (Fastapi, Flask), Asynchronous Programming, Rest & Streaming Apis, Distributed Systems, Postgresql, Redis, Nosql (Mongodb)
- Security: Oauth2, Jwt, Token Handling, Secure Api Design, Rbac, Multi-Tenant Architecture
- Data Engineering: Apache Spark, Apache Airflow, Dbt, Sql, Etl/Elt Pipelines, Bigquery, Snowflake
Languages
Education
Jomo Kenyatta University of Agriculture and Technology
Bachelor of Science · Mathematics and Computer Science · Kenya
Certifications & licenses
AWS Cloud Solutions Architect
Building Data Lakes on AWS
AWS
Developing AI Applications with Python and Flask
IBM
Fundamentals of AI Agents Using RAG and LangChain
IBM
GCP Professional Cloud Architect
Generative AI Advance Fine-Tuning for LLMs
IBM
Google Business Intelligence Specialization
IBM Data Engineering Specialization
IBM
IBM Generative AI Engineering with LLMs Specialization
IBM
Open Source Software Development Methods
The Linux Foundation
Project: Generative AI Applications with RAG and LangChain
IBM
Statistics
Experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Lewis is based in Nairobi, Kenya and prefers 100% remote projects.
Lewis speaks the following languages: Swahili (Native), English (Advanced).
Lewis has at least 6 years of experience. During this time, Lewis has worked in at least 7 different roles and for 8 different companies. The average length of individual experience is 1 year and 8 months. Note that Lewis may not have shared all experience and actually has more experience.
Based on recent experience, Lewis would be well-suited for roles such as: Senior AI Engineer, Senior Python Engineer (LLM Training & RLHF), AI Research & Generative AI Specialist.
Lewis's most recent position is Senior AI Engineer at Qubiten.
In recent years, Lewis has worked for Qubiten, SuperAnnotate, Uber AI Solutions, High5, and TELUS Digital.
Lewis is most experienced in industries like Information Technology, Professional Services, and Government and Administration.
Lewis is most experienced in business areas like Information Technology, Business Intelligence, and Marketing. Lewis also has some experience in Product Development, Research and Development, and Strategy.
Lewis has recently worked in industries like Information Technology, Professional Services, and Government and Administration.
Lewis has recently worked in business areas like Information Technology, Business Intelligence, and Marketing.
Lewis holds a Bachelor in Mathematics and Computer Science from Jomo Kenyatta University of Agriculture and Technology.
Lewis has 11 certificates. Among them, these include: AWS Cloud Solutions Architect, Building Data Lakes on AWS, and Developing AI Applications with Python and Flask.
Lewis is immediately available full-time for suitable projects.
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Calculated based on our freelancers’ daily rates as of 9 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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