Doebi Alale — CTO of SourceValidate

About Me

Engineer, builder, and lifelong learner

I'm a versatile senior Machine Learning and Cloud Engineer with a decade-plus track record across data engineering, cloud automation, and enterprise-scale AI. I love integrating technologies — building what I think of as a neural network of systems, not just of tensors.

My work spans supervised and unsupervised learning, NLP, Retrieval-Augmented Generation (RAG), and agentic AI frameworks for document intelligence and autonomous reasoning. Underpinning it all is a strong foundation in secure, cost-efficient infrastructure built with Terraform, Ansible, containers, and multi-account cloud design.

I'm equally comfortable architecting an ML platform, mentoring a team, and translating deep technical trade-offs for executive stakeholders.

10+

Years across ML, data, and cloud engineering

60%

Inference cost cut by migrating models to AWS Lambda

10+

AWS, Azure, Terraform & CompTIA certifications

Multi

Secure multi-account cloud architectures delivered

Where I Lead

Chief Technology Officer, SourceValidate

SourceValidate is a product-authenticity platform that lets anyone confirm a product is genuine in seconds by scanning a unique, verifiable QR code — fighting counterfeiting across pharmaceuticals, beverages, cosmetics, and more. As CTO, I set the technical vision and own the platform end to end.

I architected SourceValidate as a fully serverless, multi-tenant system on AWS — designed to be effortless for consumers, affordable for manufacturers of every size, and secure by default. From the first line of infrastructure to the customer onboarding experience, I lead the engineering that makes brand protection accessible.

My responsibilities span architecture, security, delivery, and cost governance: defining the platform roadmap, building the deployment model that isolates each customer, and ensuring the system scales reliably while staying lean.

Visit SourceValidate

What I own as CTO

Platform & engineering leadership

Serverless verification platform on AWS Lambda, API Gateway, CloudFront, and DynamoDB.
Multi-tenant authentication with Amazon Cognito — per-tenant SSO and machine-to-machine (ERP) API access.
A reusable Terraform module and per-customer ops pipelines for repeatable, isolated deployments.
Quota tiers, anomaly detection, automated monthly billing/invoicing, and a Bedrock RAG support chatbot.
Security posture: least-privilege IAM, tenant isolation, and compliance-minded design.

What I Do

Where I create impact

End-to-end ownership — from research and architecture to production, observability, and cost control.

Applied AI & RAG

Retrieval-Augmented Generation and document-centric QA systems that improve grounding, relevance, and factual accuracy.

Agentic AI Systems

Autonomous agents with tool use, secure API calls, and multi-step reasoning orchestrated across real-world workflows.

MLOps & Pipelines

Reproducible training pipelines, model versioning, CI/CD, and observability with MLflow, W&B, and Airflow.

Cloud Architecture

Secure, cost-efficient multi-account AWS & Azure platforms provisioned as code with Terraform and Ansible.

Security & IAM

Least-privilege IAM, ABAC/RBAC, secure API access, and compliance-minded design across the stack.

Mentorship & Delivery

Onboarding, knowledge transfer, and cross-functional collaboration that lift team velocity and release reliability.

Current Roles

Leadership & current work

Chief Technology Officer

SourceValidate

As CTO, I lead the technology behind SourceValidate — a product-authenticity platform that fights counterfeiting with unique, verifiable QR codes. I own the architecture end to end.

Designed the serverless verification platform on AWS Lambda, API Gateway, CloudFront, and DynamoDB.
Built multi-tenant authentication with Amazon Cognito, including per-tenant SSO and machine-to-machine API access.
Shipped a reusable Terraform module and per-customer ops pipelines for repeatable, isolated deployments.
Added quota tiers, anomaly detection, automated billing/invoicing, and a Bedrock RAG chatbot for support.

Senior AI/ML Engineer

Tyndale USA Nov 2025 – Present

I build and optimize enterprise AI systems, with a focus on document intelligence, agentic chatbots, and responsible, governed LLM usage.

Designed RAG architectures powering document-centric question answering with stronger grounding and accuracy.
Optimized production chatbots for low-latency inference using AWS Bedrock Agents.
Integrated external tools and secure API calls into agentic frameworks for real-time data retrieval.
Drove SDLC best practices, LLM governance, observability, and cost controls across AI initiatives.

Career

Experience

A progression from hands-on infrastructure to senior AI/ML and technology leadership.

Senior AI/ML Engineer — Tyndale USA

Nov 2025 – Present · Hybrid

RAG architectures, Bedrock agentic chatbots, LLM governance, and secure, cost-aware AI delivery.

Chief Technology Officer — SourceValidate

Ongoing

Technical leadership of a serverless, multi-tenant product-authenticity platform on AWS.

Machine Learning Engineer — Techsur Solutions

Nov 2022 – Nov 2025 · Remote

Built supervised/unsupervised models and agentic systems; a stacked meta-model lifted accuracy 5%+. Designed Airflow pipelines with retraining triggers and cut inference costs 60% by moving models to Lambda.

Senior Data Engineer — Johnson & Johnson

Nov 2019 – Nov 2022 · New Jersey

Scalable ETL/ELT for batch and streaming data, SageMaker provisioning via Terraform, data lake/Redshift solutions, and 40% better pipeline reliability with Prometheus & Grafana.

Cloud Automation Engineer — Enterprise Holdings

Jan 2016 – Nov 2019 · St. Louis, MO

Built a network security hub, automated IaC with Terraform/Ansible/Jenkins, and saved 30% on monthly costs by migrating Splunk logs to S3.

Computer Technician — Alale Benign Resources

Aug 2012 – Dec 2015

Built and maintained PCs, networks, and operating systems — where the hands-on engineering foundation began.

Toolbox