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Ubong Jeremiah

@ubongjeremiah

Senior Software Engineer focused on AI orchestration, event-driven backends, and cloud-native scaling.

Belarus
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What I'm looking for

I’m looking to build production-grade AI systems—RAG and orchestration, event-driven backends, and scalable data pipelines—where I can improve latency and reliability, ship fast with strong CI/CD, and grow in a high-accountability engineering team.

I’m a Senior Software Engineer with 5+ years of experience architecting and scaling production-grade systems in AI, finance, and e-commerce. I focus on Python internals (asyncio, memory management) and cloud-native infrastructure, with a deep emphasis on FastAPI and AI orchestration.

I’ve reduced data processing bottlenecks by over 80% through event-driven architectures and optimized data pipelines. At Innowise, I architected a RAG-based pipeline using LangChain, increasing prediction accuracy by 42%, and used LangGraph to orchestrate multi-state workflows from image feature extraction (CV) to report generation.

I also build high-concurrency, observable services—designing asynchronous event-driven systems with FastAPI and RabbitMQ for 50k+ daily requests with sub-second latency. In parallel, I re-engineered automated pipelines (6 hours to 45 minutes), improved monitoring and CI/CD (downtime down 60%, deployment under 20 minutes), and delivered dashboards and quality-control platforms using React/Angular and modern cloud tooling.

Experience

Work history, roles, and key accomplishments

Innowise logoIN
Current

Senior Software Engineer

Innowise

Jan 2024 - Present (2 years 5 months)

Architected a RAG-based valuation pipeline with LangChain that increased prediction accuracy by 42% using real-time local market data. Built an asynchronous FastAPI + RabbitMQ event-driven backend handling 50k+ daily requests with sub-second latency, and implemented monitoring/CI-CD to reduce downtime by 60% and deployment time under 20 minutes.

Innowise logoIN

Senior Software Engineer

Innowise

Feb 2020 - Dec 2023 (3 years 10 months)

Developed a scalable AI computer-vision defect detection pipeline on GCP that automated inspections and reduced manual labor by 70%. Built real-time grading/notification microservices processing 10k+ items per day with zero data loss, and delivered Angular dashboards that improved decision-making speed by 50%.

Education

Degrees, certifications, and relevant coursework

MU

McPherson University

Bachelor of Science, Computer Science

Earned a B.Sc. in Computer Science from McPherson University in 2016.

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