AYOMIDE IBRAHEEM
@ayomideibraheem
Senior AI engineer specializing in production NLP, embeddings, and low-latency services.
What I'm looking for
I am a senior AI engineer with 8+ years building production NLP models, embedding-based retrieval systems, and low-latency AI services at scale, combining deep systems engineering (C/C++) with end-to-end Python ML ownership to deliver reliable, cost-efficient AI features. I design and train transformer-based models, implement production ML pipelines, and optimize inference for throughput and cost, shipping AI-native product capabilities used by enterprise customers.
I have led development of brand-aware embedding retrieval, low-latency FastAPI inference services, and A/B experimentation frameworks, and I mentor engineers on production ML design, debugging, and monitoring best practices. My background includes high-performance backend systems, memory and concurrency optimization, and integrating ML outputs into enterprise production services.
Experience
Work history, roles, and key accomplishments
Senior AI Engineer
Anyword
Nov 2020 - Present (5 years 3 months)
Designed and trained transformer-based NLP models and embedding retrieval systems powering millions of AI-generated marketing texts per month; reduced model iteration time from weeks to days and improved copy relevance and conversion lift for paid campaigns.
Developed high-performance C/C++ backend services and memory-efficient, low-latency systems processing millions of daily requests; integrated ML outputs into production APIs and implemented data pipelines for ML training and evaluation.
Education
Degrees, certifications, and relevant coursework
Columbia University
Master of Science, Computer Science
2015 - 2017
Master's Degree in Computer Science focused on advanced topics in systems and machine learning, completed from 2015 to 2017.
Columbia University
Bachelor of Science, Computer Science
2011 - 2015
Bachelor's Degree in Computer Science covering foundational coursework in systems, algorithms, and software engineering, completed from 2011 to 2015.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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