Malick User
@malicklawton
AI engineer building production LLM/RAG systems that automate workflows end-to-end.
What I'm looking for
I’m a product-driven AI Engineer with 10+ years of experience building and shipping production systems across cloud infrastructure and modern AI stacks. I turn ideas into working products quickly—building MVPs from scratch and owning delivery end-to-end from architecture to production deployment.
At SnorkelAI, I architected and launched a production-grade RAG platform that enables natural-language access to large-scale enterprise data. I built end-to-end pipelines for structured and unstructured data, integrated processing workflows to clean/chunk/embed data, and delivered reliable semantic retrieval across millions of documents.
I also developed AI agents for multi-step reasoning and task execution by combining LLM inference with enterprise data retrieval and internal APIs. I’ve optimized retrieval using vector-based semantic search, metadata filtering, and ranking strategies—improving relevance and reducing response latency for real-time production workloads.
Previously, at TempusAI I built secure microservices for HIPAA-compliant clinical data handling, orchestrated scalable pipelines with Kafka and Spark, and deployed workflows using Airflow and cloud platforms. Earlier roles at Thoughtworks and Amazon Web Services strengthened my foundation in distributed systems, CI/CD automation, monitoring/alerting, and performance/reliability improvements—from reducing deployment time to cutting pipeline failures by 25%.
Experience
Work history, roles, and key accomplishments
Senior Full Stack / AI Engineer
SnorkelAI
Jan 2025 - Present (1 year 4 months)
Architected and launched a production-grade RAG platform enabling natural-language access to large-scale enterprise data and high-volume query workloads. Built end-to-end data pipelines and multi-step AI agents, improving relevance and reducing response latency for real-time production queries.
Built secure microservices backend services and REST APIs for large-scale clinical datasets with HIPAA-compliant role-based access control and audit logging. Orchestrated healthcare data workflows with Kafka/Spark and Airflow, reducing pipeline failures by 25% and improving data freshness from 2 hours to under 10 minutes.
Designed and delivered scalable microservices-based platforms using Go/Ruby and React/Angular for high-volume transactional systems. Developed CI/CD and infrastructure automation across AWS/Azure/GCP, migrated legacy PHP systems to modern React/Node.js architectures, and built event-driven real-time processing workflows.
Engineered and operated distributed backend services handling millions of requests per day on AWS infrastructure. Optimized performance to reduce latency by ~30%, improved reliability by ~40% incident-rate reduction, and achieved 99.9%+ service uptime with monitoring/alerting and incident response improvements.
Education
Degrees, certifications, and relevant coursework
Towson University
Bachelor's Degree, Computer Science
2011 - 2015
Completed a Bachelor's degree in Computer Science at Towson University from 2011 to 2015.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Skills
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