Engineering AI systems while advancing model capabilities through research-driven design.
Designs and builds modular solutions across model architecture, distributed training, and inference, with emphasis on scalability, reliability, and performance.
Agent & RAG Systems · Distributed Training · Representation Learning · ML Systems Engineering · Performance Optimization · Multimodal Models
- VAAS ·
- VLM-Anatomy ·
- Pylette ·
- Danfojs ·
- VAAS: Vision-Attention Anomaly Scoring for Image Manipulation Detection in Digital Forensics ·
- Improving Image Embeddings with Colour Features in Indoor Scene Geolocation ·
- Computer Vision for Multimedia Geolocation in Human Trafficking Investigation: A Systematic Literature Review ·
👉 See more on Google Scholar·
👨🏾💻 See Research Engineering Codebase ·
- Test-Driven Development in MLOps ·
- ML Systems in Containerized Environments ·
- Production ML Systems on Cloud Platforms ·
More writing: Medium
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