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Feven I.

Feven I.

AGI Research Intern (iCog Labs) — automated evaluation framework development

Ethiopia flagAddis Ababa, Ethiopia

Key Skills

Software

Other

Top Subject Matter

Agentic AI
LLM evaluation and factuality assessment
Fintech credit risk modeling and explainable AI

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

Fine-tuningFine-tuning

Freelancer Overview

AGI Research Intern (iCog Labs) — automated evaluation framework development. Brings 2+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other. Education includes Bachelor of Science, Addis Ababa University (2027) and Bachelor of Science, Africa to Silicon Valley (A2SV) (2025). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Evaluation, Rating, and Fine-tuning.

Labeling Experience

AGI Research Intern (iCog Labs) — automated evaluation framework development

Other

Developed automated evaluation frameworks to measure model factuality across 50+ configurations. Standardized model-selection processes by using systematic evaluation outputs to guide downstream choices. Performed assessment and calibration work consistent with AI training and iteration workflows. • Designed evaluation pipelines for factuality measurement across multiple settings • Standardized selection criteria based on evaluation results • Supported iterative improvement of agentic systems through measurable outcomes • Coordinated evaluation outputs with decentralized multi-agent integration work

2025 - Present

AI/ML Trainee (Kifiya Financial Technologies / 10 Academy) — training pipeline automation and explainability

OtherFine-tuningFine-tuning

Automated end-to-end Python pipelines for credit risk assessment using predictive modeling workflows. Leveraged Explainable AI techniques (SHAP/LIME) to provide transparency for financial decisioning. Refined data ingestion for large record sets to support model training and interpretation. • Built production-ready ML pipelines using iterative sprints • Applied SHAP/LIME-based explainability for interpretability • Prepared and refined datasets for 50,000+ records ingestion • Supported predictive insights used to improve partner sales via segmentation

2025 - 2025

Education

A

Addis Ababa University

Bachelor of Science, Software Engineering and Computing Technology

Bachelor of Science
2022 - 2027
A

Africa to Silicon Valley (A2SV)

Bachelor of Science, Data Structures and Algorithms

Bachelor of Science
2025 - 2025

Work History

A

Addis Ababa University

Full-Stack Developer

Addis Ababa
2025 - Present
I

iCog Labs

AGI Research Intern

Addis Ababa
2025 - Present