Background

Asman Makero Musa

Asman Makero Musa

Name: Asman Makero Musa

Profile: AI & Software Engineering Specialist

Degree: B.Sc. in Computer Science

University: University of Nairobi

Location: Nairobi, Kenya

Email: makeromusa17@gmail.com

Phone: +254 743 844 451

GitHub: makeromusa

LinkedIn: asman-musa

Core Competencies
Python & AI Scripting 95%
Prompt Engineering & LLM Benchmarking 90%
Low-Level Systems (C / C++) 85%
Databases (Oracle, SQL Server, 3NF Models) 90%
Linux System Administration (Red Hat) 85%

Professional Profile

Analytical Computer Science undergraduate at the University of Nairobi specializing in low-level systems programming (C/C++), AI workflows, and modern data architectures.

Experienced in Large Language Model (LLM) benchmarking, prompt engineering, agentic AI systems, and cloud-native AI services (Amazon Bedrock). Proven expertise in designing relational databases, automating system documentation, and evaluating technical code outputs for accuracy and structural logic.

Passionate about applying rigorous AI evaluation and software development principles in high-impact technical environments. Continuously building robust, scalable solutions across multi-agent systems, data automation, and cloud platforms.

Technical Expertise

A breakdown of tools, programming languages, architectures, and systems in my engineering stack

Core Languages
Python C C++ SQL (Oracle) SQL Server HTML5 & CSS3
AI & ML Architecture
Prompt Engineering LLM Evaluation & Benchmarking Multi-Agent Systems Generative AI Amazon Bedrock RLHF & Model Output Eval
Databases & Analytics
Oracle Database Oracle APEX SQL Server (SSMS) Power BI Excel & Statistical Modeling SQL Developer
Systems, Tools & Methods
Linux (Red Hat) Git & GitHub Streamlit Zapier Automation System Design Automated Tech Documentation Code Debugging

Resume & Background

Academic foundations, corporate experience, and engineering credentials

Summary

Asman Makero Musa

Analytical Computer Science undergraduate at the University of Nairobi specializing in low-level systems programming (C/C++), AI workflows, and modern data architectures. Passionate about applying rigorous AI evaluation and software development principles.

Education

Bachelor of Science in Computer Science

Expected Graduation: 2029

University of Nairobi, Nairobi, Kenya

Key Focus Areas: Low-Level Programming (C/C++), Data Structures & Algorithms, Database Management Systems, Software Engineering, AI Fundamentals.

Professional Experience

Intern – Operations, Credit & Customer Service

Equity Bank Kenya

Nairobi, Kenya

  • Managed customer support operations, CRM platform interactions, and end-to-end loan credit workflows in a fast-paced corporate environment.
  • Collaborated across cross-functional teams utilizing Microsoft Teams to execute daily operational tasks, sales reporting, and insurance services.
  • Applied rigorous analytical problem-solving and detail-oriented verification processes for client documentation and credit records.

Key Engineering Strengths

Autonomous AI Workflows & Multi-Agent Systems

Experienced in architecting autonomous multi-agent pipelines with structured handoffs, strict system prompt constraints, and cloud-native LLM integrations on Amazon Bedrock.

Technical & AI Projects

A selection of engineered systems, AI architectures, and full-stack solutions

  • All Projects
  • AI & Agents
  • Data & Systems
  • Applications
Capstone 2026 Multi-Agent Framework

Multi-Agent AI Automation System

PLP Academy Capstone

Architected an autonomous multi-agent framework utilizing three specialized AI agents communicating sequentially to accomplish complex workflows. Designed strict system prompt constraints and structured interaction protocols to ensure error-free handoffs and task execution.

Autonomous Agents Prompt Engineering Interaction Protocols Python
2026 Amazon Bedrock

Custom AI Architecture & Template Engine

Enterprise Cloud AI Integration

Engineered custom AI templates and model pipeline wrappers using Amazon Bedrock to deliver tailored enterprise outputs. Implemented system-level prompt parameters to evaluate response fidelity, latency, and context adherence across custom tasks.

Amazon Bedrock Generative AI Model Pipelines Latency Optimization
2025 – 2026 LLM Evaluation

Data Annotation, LLM Benchmarking & Automation

Independent / Applied Research

Performed comparative evaluations and A/B benchmarking across top commercial LLMs to analyze code correctness, reasoning quality, and hallucination rates. Integrated workflow automations utilizing Zapier and AI APIs to streamline output validation and data categorization.

A/B Benchmarking RLHF & Eval Zapier Data Annotation
2026 Streamlit & ML

Interactive Sports Analytics ("Bundesliga Wrapped")

Streamlit Web Application

Built and deployed an interactive web application leveraging Streamlit to visualize complex sports data and analytics. Integrated backend analytical scripts with a user-friendly frontend interface for real-time statistical generation.

Streamlit Python Data Visualization Machine Learning
2025 Oracle & SQL Server

Health Facility Resource Management System

Database Architecture & Auto-Documentation

Designed full-stack relational database models (3NF) using SQL Server and Oracle Database with Oracle APEX web interfaces. Built automated documentation pipelines directly from the backend to generate complete user and technical system documentation automatically.

Oracle APEX SQL Server 3NF Database Design Auto-Docs Pipeline

Certifications & Credentials

Verified technical credentials, cloud specializations, and professional training

Udacity & Amazon Web Services (AWS)

AI / Machine Learning Certification

Rigorous training on foundation machine learning models, cloud deployments, and AWS AI pipelines.

PLP Academy

Generative AI & Prompt Engineering

Specialization through AI Safari covering LLM architectures, prompt optimization, and agent design.

Cisco Networking Academy

Advanced C++ Programming

Object-oriented systems, memory management, pointers, and performance-critical software principles.

Red Hat Academy

Linux System Administration

Enterprise Linux command line, user management, bash automation, filesystem security, and networking.

Internet Society of Kenya

Networking Foundations

Network layer fundamentals, IP routing, domain name protocols, internet governance, and infrastructure.

Coursera

Foundations of Cybersecurity

Security postures, threat assessment, defense-in-depth principles, cryptographic basics, and system hardening.

Get in Touch

Feel free to reach out for collaboration opportunities, AI research, software projects, or inquiries

Location

Nairobi, Kenya

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