Hosea Kosgei
Hosea KOSGEI
Cloud Security Engineer · AI Systems Developer
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Hosea Kosgei

Cloud Security Engineer & Intelligent Systems Developer building solutions for real-world problems.

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© —— Hosea Kosgei. All rights reserved.

Experience & Background

A 2nd-year BTech student at Technical University of Kenya building at the intersection of cloud security and intelligent systems — actively seeking internship opportunities.

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Project Experience

CloudGuard — AWS Security Auditor
Personal Project
2025 — Present
Personal Project

An agentic AI tool built with LangChain and Boto3 that autonomously scans AWS accounts for security misconfigurations — open S3 buckets, overprivileged IAM roles, unencrypted databases — and generates actionable remediation reports.

Key Contributions

  • Built an agentic AI pipeline using LangChain that reasons over AWS API responses to identify security risks
  • Designed Terraform scripts to deploy a secured AWS baseline with restricted IAM roles, encrypted RDS, and private VPC subnets
  • Generated human-readable remediation reports so non-technical stakeholders can act on findings
  • Containerised with Docker for portable deployment across development and production environments

Technologies

PythonLangChainBoto3AWS IAMTerraformDockerAWS S3
AutoVerifAI
Personal Project
2025 — Present
Personal Project

An intelligent fraud-detection system targeting Kenya's car and heavy machinery financing market. Combines ML with financial guardrails to verify asset valuations, detect document forgery, and protect borrowers from predatory lending.

Key Contributions

  • Designed an ML-powered risk scoring engine using Scikit-learn and XGBoost
  • Built a document forgery detection pipeline to verify asset ownership and valuation claims
  • Architected a FastAPI backend with PostgreSQL for audit trails and explainable AI outputs
  • Containerised the full stack using Docker for portable deployment

Technologies

PythonFastAPIScikit-learnXGBoostPostgreSQLReactDocker
Enterprise Data Warehouse
Personal Project
2025 — Present
Personal Project

A cloud-native data warehouse consolidating siloed business data into a single source of truth, with automated ETL pipelines and real-time dashboards — the data backbone for intelligent systems.

Key Contributions

  • Designed dimensional data models using dbt on DuckDB
  • Built scheduled ETL pipelines with Apache Airflow
  • Created interactive analytics dashboards in Apache Superset
  • Stored raw and processed data layers on AWS S3 as a cost-effective data lake

Technologies

dbtDuckDBApache AirflowPythonApache SupersetAWS S3Docker

Looking for a Cloud Security or AI Intern?

I bring a strong BTech foundation in communications and networks, hands-on experience building secure cloud infrastructure and intelligent systems, and the drive to grow fast in a real engineering environment.

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