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Emmanuel Adewumi

EmmanuelAdewumi

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

Operating System

Architecting AI that survives contact with reality.

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.

Research-grade reasoning

I translate papers, model behavior, and mathematical foundations into systems with measurable product value.

Systems ownership

I design backend, data, deployment, and frontend flows as one coherent production surface.

Product acceleration

I build quickly without losing the fundamentals: reliability, maintainability, and user intent.

Technical Arsenal

Research / Systems / Product

PythonPyTorchDeep LearningFastAPIRAG SystemsAgentic AIPostgreSQLDockerNext.jsReactCC++System ArchitectureMLOpsMulti-model AI
Trajectory

Experience Vector

A chronological mapping of professional milestones, algorithmic deployment, and systemic optimization.

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.
Next.jsSystem ArchBackend Ops

Mar 2025 - Present

Founding Product & AI Engineer

Inkriv

  • Served as an Inkriv engineer building adaptive ghostwriting, retrieval, orchestration, and AI memory systems.
  • Built backend environments connecting multi-modal features, AI personalization flows, and data ingestion.
InkrivAgentic AILLM OrchestrationPython

Jan 2024 - Feb 2025

ML Trainee

Prometheus AI Program

  • Explored deep learning fundamentals through custom neural network architectures.
  • Analyzed transformer mechanics and language model dynamics.
PyTorchTransformersML Theory

Jun 2023 - Jul 2024

Software Engineering

Holberton School

  • Mastered algorithms, low-level programming semantics, and system design basics.
  • Built foundations across C, Python, databases, and containerized workflows.
AlgorithmsSystems CData Structures
8+ Projects

Featured Innovations

A curated selection of technical research, systems engineering, and machine learning implementations.

FEATUREDAI & ML

SafeX Labs

Privacy-aware edge surveillance using multimodal LLMs for real-time frame classification, contextual analysis, and autonomous decision-making.

Edge AIMultimodal LLMComputer Vision
FEATUREDAI & ML

Inkriv AI Writing Assistant

Inkriv engineering work on an adaptive AI writing assistant with ghostwriting inference, retrieval, memory, and multi-model orchestration.

InkrivFastAPIRAGAI Memory
FEATUREDSystems

CChatAPP

Low-level chat system built in C with socket programming and GTK, demonstrating memory management and client-server design.

CPOSIX SocketsGTK
AI & ML

Attention from Scratch

Transformer implementation from first principles, focused on self-attention, positional encodings, and model internals.

PyTorchMathematicsTransformers
1 star
AI & ML

GPT-2 from Scratch

Complete GPT-2 architecture implementation with attention mechanisms and training pipeline fundamentals.

PyTorchNLPFrom Scratch
AI & ML

RAG Grammar Enhancer

Real-time language refinement system using retrieval-augmented generation for contextual grammar and fluency suggestions.

RAGNLPRetrieval
APIs

VerisBot

Enterprise AI chatbot built with FastAPI and Hugging Face inference for production-grade conversational workflows.

FastAPIGemma-2Production
AI & ML

LinguaSync

Neural machine translation app with Transformer architecture, Flask interface, and Dockerized deployment.

TransformersTranslationDocker
Web Dev

SMP MultiSchool Website

Digital learning platform for multi-school academic collaboration, resources, and management workflows.

FlaskEducationWeb App
Open Channel

Let's Build the Future.

Available for remote research, systems architecture, AI products, and collaboration on technically ambitious work.

emmanuelay.adewumi@gmail.com