Abraham Abram I.

WORK HISTORY

EDUCATION

ABOUT ABRAHAM ABRAM I.

I’m Abram, a software engineer passionate about building resilient backend systems, scalable infrastructure, and AI-powered applications that solve real-world problems. Over the past five years, I’ve worked across startups and enterprise teams, turning complex technical challenges into reliable, long-lasting systems.At Agenta.ai, I helped shape the foundation of an LLMOps platform by designing a project-scoped architecture that achieved true multi-tenancy and 99.99% uptime across production records. I led the migration from MongoDB to PostgreSQL, which boosted query performance by 200% while maintaining full backward compatibility. I also built a model registry and experiment tracking system that brought version control principles to LLM evaluation workflows—achieving 100% reproducibility and reducing debugging time by 65%.Before that, at AbaaChatPay, I deployed voice and facial recognition systems that processed thousands of daily authentication requests with sub-5-second response times. These projects deepened my understanding of performance optimization and secure ML model deployment in production environments.My earlier experiences at Sendme.ng and Wyreng.com taught me the value of designing for clarity and scalability—from reducing solar energy dashboard load times by 80% to leading the implementation of a fault-tolerant WebSocket infrastructure for real-time farm monitoring.Technically, I work primarily with TypeScript, Python, FastAPI, and Django, while leveraging AWS (Lambda, S3, RDS, EC2), PostgreSQL, MongoDB, and Redis to build and scale production-grade applications. I’m also deeply involved in Generative AI infrastructure, including RAG pipelines, LLM evaluation systems, and prompt optimization for real-world use cases.I approach engineering with a focus on systems that are built to last, not just to launch. This means writing maintainable code, designing for scalability from the start, and creating infrastructure that teams can confidently build on. I believe that the best engineering work shows its value over time, in systems that continue to perform reliably as requirements evolve.