Experience

Professional roles in AI research and machine learning engineering.

Forward Deployment Engineering

Tenacious Intelligence & 10 Academy

Feb 2026 – May 2026

Focus Areas

Agentic AIForward DeploymentSystem ArchitectureLLM Benchmarking

Highlights

Successfully completed a 12-week intensive Forward Deployment Engineering program, delivering 8+ production-ready AI systems.
Developed Oracle Forge (Data Agent Challenge), a multi-database analytics agent for the UC Berkeley DataAgentBench benchmark.
Built The Automaton Auditor (Digital Courtroom), a hierarchical multi-agent forensic system for code repository evaluation.
Implemented The Ledger (Agentic Event Store), exploring durable agentic state management and event-driven architectures.
Architected the Document Intelligence Refinery, an agentic pipeline for intelligent document classification and strategy-aware extraction.
Designed and deployed the Sales Agent Evaluation Bench, a framework for objective assessment of sales agent performance.
Engineered core utility systems including Conversion-Engine, Data-Contract-Enforcer, and Brownfield-Cartographer for legacy system mapping.

Freelance

Nov 2025 – Present

Focus Areas

Anomaly DetectionSignal ProcessingPredictive Modeling

Highlights

Designed and developed an end-to-end ML pipeline for detecting irregular behavior in network devices by analyzing noise spectrum variations.
Performed exploratory data analysis and feature extraction on raw signal data to identify patterns indicative of device anomalies.
Applied feature selection techniques to reduce dimensionality and improve model generalization.
Built and evaluated multiple predictive models, selecting the best-performing approach based on precision and recall trade-offs.
Delivered a production-ready prediction system capable of flagging anomalous network behavior in real time.

iCogLabs

Addis Ababa, Ethiopia

Feb 2025 – Sep 2025

Focus Areas

Neuro-Symbolic AICognitive AgentsTransformer Architectures

Highlights

Contributed to cognitive agent development within the OpenCog / Hyperon framework.
Implemented a nanoGPT model to gain deep understanding of transformer architecture and self-attention mechanisms.
Developed a neuro-symbolic AI model integrating an LLM with a knowledge graph.
Built a text sequence model using RNNs with LSTM layers for NLP tasks.
Developed a recommendation system and implemented core AI algorithms.

Omdena

Jan 2025 – Mar 2025

Focus Areas

Remote Vital Sign DetectionComputer Vision

Highlights

Developed a machine learning model for a web-based AI solution that detects vital signs using a standard mobile camera.
Enabled real-time health monitoring and remote physician assessment through computer vision techniques.