Hassan Akram
@hassanakram2
I build full-stack AI systems and cloud infrastructure end to end.
What I'm looking for
I’m a senior full-stack and AI infrastructure engineer with 10+ years of experience taking products from architecture through production. I own codebases end to end—mobile (React Native), backend (Node.js, NestJS, Python), and cloud infrastructure—while driving architecture decisions independently across sprint plans.
In recent roles, I’ve built GPU-backed AI inference on AWS SageMaker and ECS/EC2, implemented real-time pipelines with WebSockets and Kafka, and established reliable CI/CD with GitHub Actions, Docker, and Kubernetes. I also integrate enterprise systems (e.g., Epic EHR via REST/WebSockets), add monitoring and alerting (CloudWatch/structured logs), and ensure security, observability, and high-availability platforms at scale.
Experience
Work history, roles, and key accomplishments
Senior AI/ML Engineer
Apollo
Aug 2024 - Jun 2026 (1 year 10 months)
Owned the full AI infrastructure stack, deploying PyTorch model inference on AWS SageMaker and building real-time data pipelines for surgical workflow predictions. Integrated Epic EHR via REST APIs and WebSocket streams, and implemented CI/CD and monitoring for zero-downtime production deployments.
Built NLP pipelines with Python and spaCy for production deployment on AWS Lambda and ECS, meeting strict latency and throughput requirements. Developed React Native interfaces and designed scalable ETL workflows using PostgreSQL and Redis, while managing model versioning and observability.
Full-Stack AI Engineer
Ecomcircles
Mar 2021 - Jan 2023 (1 year 10 months)
Led architecture and delivery of a production AI platform spanning a React Native mobile frontend, NestJS backend APIs, PostgreSQL/Aurora, and AWS infrastructure. Deployed GPU-backed FastAPI inference and built real-time WebSocket/Redis pub-sub systems, implementing secure authentication, secrets management, and end-to-end CI/CD with zero downtime.
Full-Stack AI Engineer
ScaleUp Media
Nov 2019 - Feb 2021 (1 year 3 months)
Built and maintained data pipelines for production ML models, covering ingestion, transformation, validation, and feature engineering. Developed React Native mobile experiences for AI-driven content and analytics, integrating REST and WebSocket-based backend services deployed on AWS with Docker and CI/CD workflows.
Managed cloud infrastructure across AWS, GCP, and Azure for AI/ML workload environments, including networking, identity, and monitoring. Automated provisioning with Terraform and Ansible and built CI/CD pipelines using Docker and Kubernetes for ML model training and inference deployments.
Associate Software Engineer
Arbitrage Hero
Sep 2016 - Dec 2017 (1 year 3 months)
Built full-stack applications using React Native, Node.js, MongoDB, and Redis for real-time arbitrage tracking with WebSocket/Socket.io market data. Developed REST APIs and background jobs for high-frequency data ingestion and implemented production monitoring using Prometheus and Sentry.
Education
Degrees, certifications, and relevant coursework
National University of Emerging Sciences (FAST)
Bachelor of Computer Science, Computer Science
2012 - 2016
Earned a Bachelor of Computer Science degree from the National University of Emerging Sciences (FAST) between 2012 and 2016.
Availability
Location
Authorized to work in
Portfolio
github.com/hassanakramJob categories
Skills
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