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I’m Zakari Lee, a Senior AI & Full Stack Engineer focused on building scalable, AI-powered platforms. I design and deploy production-grade ML and MLOps ecosystems, with deep experience in Python and Go, high-throughput inference pipelines, and cloud-native infrastructures. I excel at turning research-driven ML into enterprise-ready applications, integrating LLMs, building intelligent microservices, and delivering end-to-end ML automation—from data pipelines and model training to monitoring, drift detection, and automated retraining.…I’m Zakari Lee, a Senior AI & Full Stack Engineer focused on building scalable, AI-powered platforms. I design and deploy production-grade ML and MLOps ecosystems, with deep experience in Python and Go, high-throughput inference pipelines, and cloud-native infrastructures. I excel at turning research-driven ML into enterprise-ready applications, integrating LLMs, building intelligent microservices, and delivering end-to-end ML automation—from data pipelines and model training to monitoring, drift detection, and automated retraining.

Zakari Lee

Full Stack Developer, Back-End Developer, AI Engineer, +1

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I’m Zakari Lee, a Senior AI & Full Stack Engineer focused on building scalable, AI-powered platforms. I design and deploy production-grade ML and MLOps ecosystems, with deep experience in Python and Go, high-throughput inference pipelines, and cloud-native infrastructures. I excel at turning research-driven ML into enterprise-ready applications, integrating LLMs, building intelligent microservices, and delivering end-to-end ML automation—from data pipelines and model training to monitoring, drift detection, and automated retraining.…I’m Zakari Lee, a Senior AI & Full Stack Engineer focused on building scalable, AI-powered platforms. I design and deploy production-grade ML and MLOps ecosystems, with deep experience in Python and Go, high-throughput inference pipelines, and cloud-native infrastructures. I excel at turning research-driven ML into enterprise-ready applications, integrating LLMs, building intelligent microservices, and delivering end-to-end ML automation—from data pipelines and model training to monitoring, drift detection, and automated retraining.

Available to hire

I’m Zakari Lee, a Senior AI & Full Stack Engineer focused on building scalable, AI-powered platforms. I design and deploy production-grade ML and MLOps ecosystems, with deep experience in Python and Go, high-throughput inference pipelines, and cloud-native infrastructures.

I excel at turning research-driven ML into enterprise-ready applications, integrating LLMs, building intelligent microservices, and delivering end-to-end ML automation—from data pipelines and model training to monitoring, drift detection, and automated retraining.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Lead AI/ML Engineer & Senior Full Stack Engineer at 5Q Cyber

July 1, 2023 - Present

Led the design and delivery of AI-first platforms built on Python (FastAPI, Django) and Golang microservices, steering shift toward intelligent RCM and cybersecurity automation. Collaborated across data science, backend, DevOps, and executive leadership to define model specs, integration patterns, and deployment lifecycles. Implemented enterprise-grade MLOps using AWS SageMaker, MLflow, Docker, and ECR with automated feature pipelines, training workflows, validation gates, drift detection, and multi-environment model rollout. Engineered RAG architectures with Pinecone and FAISS for semantic search and contextual document retrieval in cybersecurity domain. Delivered rapid POCs for LLM-based document intelligence and domain-specific assistants. Owned end-to-end LLM integration, triage, summarization, automated classification, and adaptive response automation. Built distributed inference engines using asynchronous Python workers, Golang nodes, Redis caching, and message queues capable of

AI/Backend Engineer (Python & Golang) at CodeBright

January 1, 2019 - June 1, 2023

Developed AI-driven backend systems powering real-time analytics, forecasting, and automated decisioning across healthcare and enterprise SaaS. Built and maintained high-volume ETL/ML pipelines spanning ingestion, preprocessing, transformation, inference, and analytics. Implemented FAISS and Chroma vector search for recommendations and semantic retrieval. Built event-driven, serverless AI systems with AWS Lambda, S3, SNS, SQS, and DynamoDB for elastic ML workloads. Exposed production ML pipelines via GraphQL and REST APIs for dashboards and client apps. Optimized Redis caches, SQL indices, and asynchronous API logic to boost throughput. Implemented high-speed Golang numerical modules to accelerate compute-critical processing chains. Established full-stack observability with Prometheus and Grafana; led migration from monoliths to Docker/ECS-based microservices. Built internal tooling for packaging, provisioning, and workflow automation. Collaborated with data scientists to productionize

Full Stack & Junior AI Developer at TruAdvantage

June 1, 2014 - December 1, 2018

Built full-stack platforms using Python (Flask), JavaScript, SQL; contributed to early ML-enabled automation features and predictive models for clients. Developed backend APIs with optimized SQL, caching, and performance tuning. Integrated APIs such as Stripe, Twilio, and Google Maps to enhance workflows. Supported ETL/analytics pipelines for BI dashboards and ML prototyping. Helped cloud modernization by migrating apps to AWS (EC2, RDS, Docker). Built POCs for predictive analytics and microservices. Created modular frontend components with React and Vue; developed automation tooling for logs, dataset cleanup, monitoring, and backups. Collaborated with senior engineers on architecture, security, scalability patterns, and cloud-native implementation.