Mar 2026 - Present
Systems Lead
Zeviel Law Firm
- Rebuilt the production platform into a high-performance Next.js architecture.
- Designed backend stability patterns and improved secure document workflows.

Founding Product & AI Engineer at Inkriv, machine learning researcher, and AI systems lead engineering the intersection of mathematics, scalable software, and intelligent product architecture.

Current vector
Where mathematics meets code.
5+
AI products deployed
PROMETHEUS
Research initiative
ALX
Software engineering alumni
Dedicated to robust AI solutions that bridge theoretical mathematics and production machine learning systems.
I work across machine learning research, backend architecture, and full-stack product delivery. My strongest zone is turning a complex model or workflow into a clear, reliable system people can actually use, including the Inkriv AI writing and personalization stack.
I translate papers, model behavior, and mathematical foundations into systems with measurable product value.
I design backend, data, deployment, and frontend flows as one coherent production surface.
I build quickly without losing the fundamentals: reliability, maintainability, and user intent.
Research / Systems / Product
A chronological mapping of professional milestones, algorithmic deployment, and systemic optimization.
Mar 2026 - Present
Zeviel Law Firm
Mar 2025 - Present
Inkriv
Jan 2024 - Feb 2025
Prometheus AI Program
Jun 2023 - Jul 2024
Holberton School
A curated selection of technical research, systems engineering, and machine learning implementations.
Privacy-aware edge surveillance using multimodal LLMs for real-time frame classification, contextual analysis, and autonomous decision-making.
Inkriv engineering work on an adaptive AI writing assistant with ghostwriting inference, retrieval, memory, and multi-model orchestration.
Available for remote research, systems architecture, AI products, and collaboration on technically ambitious work.
emmanuelay.adewumi@gmail.com