Emmanuel
Adewumi
Engineering intelligent systems at the intersection of Mathematics and Machine Learning.
Building scalable architectures for the next generation of AI.
About Me
Engineering the future through innovation and precision.
Hello, I'm Emmanuel Ayobami (SCCSMARTCODE)
Passionate Machine Learning Researcher & AI Systems Lead driven by the mathematical foundations that power our digital world. I am constantly seeking opportunities to drive cutting-edge ML research and build the next big thing.
I specialize in building intelligent architectures, from advanced Agentic Orchestration and Deep Learning to real-time Personalization engines. I design scalable backends and engineer robust systems that bridge the gap between rigorous mathematical theory and practical, production-ready AI products.
Research-Driven Innovation
As a PROMETHEUS AI Research Team Member, I translate complex research papers into practical applications with solid theoretical foundations.
Production Excellence
Currently building Inkriv - an AI-powered writing assistant with advanced LLM capabilities, retrieval systems, and AI memory.
Continuous Learning
ALX Software Engineering Graduate with a systematic approach to building innovative solutions that solve real-world problems.
Technical Arsenal
Professional Experience
Full Stack Engineer & Systems Lead (Freelance)
Zeviel Law Firm
Led the rebuild and restructuring of Zeviel Law Firm's production platform, optimizing a complex frontend infrastructure into a refined, high-performance, single-stack Next.js environment. Taking ownership of the end-to-end system architecture, implementing backend stability paradigms, and optimizing database workflows for production reliability.
Founding Product & AI Engineer
Inkriv
Spearheading the core development of Inkriv, bridging Advanced Agentic Orchestration for AI Personalization. Directing the architectural implementation of Adaptive Learning pipelines, ghostwriting inference, and memory injection across the model stack. Engineered zero-downtime robust Backend environments connecting multi-modal features.
Machine Learning & Deep Learning Trainee
Prometheus AI Program
Completed an intensive program focused on machine learning and deep learning. Gained hands-on experience with model development, training, and deployment using PyTorch.
Software Engineering Trainee
ALX Africa
Completed a rigorous 12-month course covering foundational and advanced topics, including data structures, algorithms, system design, database management, and containerization.
Featured Projects
A showcase of my latest work in AI, machine learning, and software engineering.
SafeX Labs
Intelligent, privacy-aware edge surveillance system designed for real-time situational awareness. Features a two-layer intelligence architecture using Multimodal LLMs for frame classification and contextual analysis. Highly configurable and adaptive, providing autonomous decision-making at the edge.
Inkriv AI Writing Assistant
AI-powered writing assistant with personalized, adaptive AI. Built complete system from scratch at VingtAI, including ghostwriting pipeline, retrieval engine, and multi-model orchestration.
CChatAPP
System engineering project built entirely in C from scratch using Socket Programming and GTK for the GUI. Demonstrates low-level network programming, memory management, and client-server architecture without reliance on high-level frameworks.
Get in Touch
Feel free to reach out! Let's build something amazing together. 🚀