Senior Software & Machine Learning Engineer | AI Systems & Fintech Infrastructure
I design and deploy production-grade AI systems and high-scale financial infrastructure with a security-first architecture.
- Production LLM Systems: RAG orchestration, fine-tuning workflows, and model evaluation.
- High-Scale Fintech APIs: Secure, high-throughput microservices for regulated environments.
- Reliable MLOps Pipelines: End-to-end experiment tracking, reproducibility, and monitoring.
- Hardened Agent Frameworks: Safe tool-execution layers with validation, sandboxing, and RCE mitigation.
- LLM Orchestration: RAG system design (FAISS, ChromaDB), agentic workflows, and prompt engineering.
- Fine-tuning: QLoRA/LoRA workflows and model quantization for production efficiency.
- MLOps & Tooling: MLflow, DVC, FastAPI, Docker, and real-time observability.
- Backend & Scale: Java (Spring Boot), Python (FastAPI), Kafka, Redis, and PostgreSQL.
- Enterprise Scale: Architected systems processing 8M+ monthly transactions with integrations across 30+ financial institutions and 7 telecommunication operators.
- Security & Identity: OAuth2/JWT, AES-256 encryption, RBAC, and secure command execution.
- Credit Scoring Engine: Architected an automated, ML-driven credit scoring system for multi-tenant banking platforms.
- Causal Discovery: Applied causal discovery techniques on financial inclusion datasets to model policy intervention impact.
- Security Hardening: Implemented validation layers for tool use in agentic frameworks to mitigate RCE vulnerabilities.
Deepening enterprise LLM engineering expertise (RAG, fine-tuning, agents) through the Andela AI Engineering Bootcamp.
Open to enterprise AI engineering and distributed systems opportunities.
- Portfolio: habeneyasu.github.io
- LinkedIn: linkedin.com/in/habeneyasu
- Email: habeneyasu@gmail.com
- Location: Addis Ababa, Ethiopia