Mar 2026 - Present
Systems Lead

Zeviel Law Firm

- Rebuilt the production platform into a high-performance Next.js architecture.
- Designed backend stability patterns and internal productivity/case-management tooling, alongside secure document workflows.

Founding Product & AI Engineer at Inkriv, machine learning researcher, and AI systems lead engineering LLM post-training, preference optimization, reward modeling, and production intelligent software.

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 LLM post-training research (reward modeling, DPO, RLHF, preference learning), model fine-tuning, and scalable production architecture. My core focus is converting complex alignment methodologies and mathematical research into reliable, high-performance product systems.
I specialize in dataset engineering, supervised fine-tuning, reward modeling, and preference learning (RLHF / DPO) to align AI models with user intent.
I translate research papers, model internals, and mathematical foundations into empirical systems with measurable product value.
I design data pipelines, model serving endpoints, backend architecture, and client interfaces as one coherent production surface.
Model Research / AI Infrastructure / Full-Stack Engineering
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.
Available for remote research, systems architecture, AI products, and collaboration on technically ambitious work.
emmanuelay.adewumi@gmail.com