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Emmanuel Adeleke

@emmanueladeleke1

Senior full-stack engineer building scalable AI-driven apps and low-latency APIs.

United States
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What I'm looking for

I’m looking to build scalable full-stack systems that ship low-latency APIs, trustworthy AI/LLM features, and analytics platforms—working in teams that value clean engineering, observability, and responsible use of AI.

I’m a Senior Full Stack Engineer with 6+ years of experience building high-scale, data-driven applications using React, TypeScript, Node.js, and Python. I also bring hands-on experience integrating AI/LLM-powered systems into production environments, with a strong focus on trust and responsible use of AI technologies.

I’ve designed and delivered scalable APIs, real-time systems, and analytics platforms serving tens of thousands of users. In recent roles, I built AI-powered applications supporting 50,000+ monthly users, implemented RAG-based pipelines for content analysis, and delivered high-performance REST APIs with sub-200ms latency across distributed microservices.

I’m equally focused on backend performance optimization and cloud-native architectures on AWS, including EC2, S3, Lambda, and RDS. I build scalable data pipelines, apply caching strategies like Redis, and champion test-driven development—achieving 88% coverage with zero P0 incidents while leading system design discussions and maintaining clean-code standards.

Experience

Work history, roles, and key accomplishments

II
Current

Senior Full Stack Engineer

I3INC

Nov 2025 - Present (7 months)

Built and scaled AI-powered applications supporting 50,000+ monthly users, including RAG-based pipelines for content analysis and retrieval. Delivered high-performance REST APIs (sub-200ms latency), improved retrieval via vector embeddings and PostgreSQL, and increased test coverage to 88% with zero P0 incidents.

PE

Senior Full Stack Developer

PepsiCo

Jan 2023 - Oct 2025 (2 years 9 months)

Built enterprise web applications using React, TypeScript, Python, and Node.js, supporting 10,000+ daily transactions. Designed data pipelines processing 2M+ records nightly, reduced query times from 1.8s to under 300ms, and built UI dashboards for 3,000+ internal users.

RI

Software Engineer

Rightpoint

Dec 2021 - Dec 2022 (1 year)

Built a RAG-powered enterprise knowledge chatbot that reduced manual research time by 60%. Improved retrieval accuracy from 62% to 91%, supported real-time processing of 3,000+ queries/day, and deployed AI workflow services on AWS with observability.

Education

Degrees, certifications, and relevant coursework

New York University logoNU

New York University

Master of Science, Computer Science

Completed a Master of Science in Computer Science at New York University.

SC

Sheridan College

Computer Software Engineering & Frontend Web Development, Computer Software Engineering & Frontend Web Development

Completed coursework in Computer Software Engineering and Frontend Web Development at Sheridan College.

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