Hi, I'm Husen Yusuf
I design AI systems, multimodal data pipelines, and production-grade software for real-world execution.
Lead AI Engineer at EaglepointAI, focused on large-scale training data systems, evaluation pipelines, prompt and reasoning design, and scalable AI product architecture. I bring 4+ years of experience spanning applied AI, full-stack engineering, and intelligent product delivery.
LLM and agent training
Prompting, reasoning design, and evaluation systems
Training data pipelines
SFT, RL workflows, labeling, and data governance
Production AI systems
Architecture, scalability, QA, and multimodal execution
Current Role
Lead AI Engineer
EaglepointAI
4+
Years building software and AI products
About Me
I'm an AI-focused software engineer who builds the systems behind modern intelligent products, from data pipelines and model evaluation frameworks to full-stack interfaces that expose AI capabilities cleanly to users.
At EaglepointAI, I lead AI engineering efforts around SFT and reinforcement learning data workflows, multimodal data generation, evaluation systems, and production readiness for AI agents. That work sits at the intersection of quality, scale, and reasoning reliability.
My background across product engineering, applied AI, and team leadership lets me move comfortably between architecture, implementation, and delivery. I work with Python, TypeScript, React, Next.js, FastAPI, NestJS, Flutter, and the tooling needed to ship robust AI systems end to end.
Focus Areas
LLM training workflows, multimodal data systems, evaluation and benchmarking, prompt engineering, AI agent reliability, and production-ready software architecture.
Work Experience
- Lead the design and development of large-scale data pipelines for AI model training, including supervised fine-tuning (SFT) and reinforcement learning workflows.
- Architect and manage high-quality data generation systems for coding, reasoning, and multimodal AI tasks across text, image, audio, and video.
- Oversee data annotation, labeling, and validation processes to improve accuracy, consistency, and downstream model performance.
- Build and refine evaluation and testing frameworks for AI models, including automated validation, benchmarking, and comparative analysis.
- Guide teams in prompt engineering, dataset curation, and structured reasoning design for LLM and agent training.
- Collaborate with cross-functional teams to implement data governance, traceability, and quality assurance pipelines.
- Optimize workflows for multimodal AI agents to support robust performance across diverse inputs and real-world execution environments.
- Drive high-level decisions on AI system architecture, scalability, and production readiness.
- Served as the main technological and technical lead at NAS Printing and ICT Solutions, overseeing the development and implementation of digital products, resulting in improved operational efficiency.
- Designed and developed client-facing websites, mobile applications, and custom systems tailored to business requirements, enhancing user engagement and satisfaction.
- Delivered solutions for consultancy firms, travel agencies, and private healthcare institutions using NestJS and Prisma, leading to streamlined operations and increased client satisfaction.
- Led and mentored a team of interns, providing hands-on training and technical guidance, which supported their growth and ensured project success.
- Contributed to the development of an Amharic-speaking chatbot for a humanoid robot at the Ethiopian Science Museum.
- Worked on face detection and recognition algorithms to identify high-profile officials and pre-registered guests, ensuring personalized interactions.
- Implemented voice-to-text and text-to-voice conversion systems to enable the robot to communicate in Amharic.
- Designed and implemented full-stack solutions for online restaurant report tracking systems, monitoring sales, inventory, and performance metrics.
- Built a QR code-based restaurant menu system that enabled customers to browse menus and place orders seamlessly via their smartphones.
- Developed customized online and in-person meal ordering systems, ensuring flexible and user-friendly order management.
- Implemented secure and efficient payment systems, applying best practices and modern development frameworks.
- Collaborated with a team to develop the QawQal super app using the Flutter framework.
- Engineered private and group chat features to enhance real-time user communication.
- Developed video and audio call functionalities for the Swil MiniApp, boosting user interaction and engagement.
- Integrated RESTful and GraphQL APIs to ensure seamless data exchange and maintain robust app performance.
- Developed Telegram bots for student registration, tutorial access, and automated payments.
- Built Telegram Mini Apps for tutorial upload (admin) and viewing (students).
- Integrated payment handling and user verification.
- Automated customer support, group management, and content posting.
- Led all Telegram-based development, improving onboarding and operational efficiency.
Skills
Projects
Developed an immersive virtual tourism platform featuring AI-driven guides, panoramic site exploration, and personalized recommendations.
Contributed to the development of Selam, the first Amharic-speaking humanoid robot, showcased at the Ethiopian Science Museum.
Built a multifunctional super app combining services like video sharing, chat, and movie streaming for a unified user experience.
Designed and implemented a comprehensive POS and restaurant management system, including order tracking, billing, and inventory management.
Education
Contact Me
Phone
GitHub
github.com/Huseny