AI Platform Architect | Cloud & Data Platforms | Applied AI | Technical Leadership
Senior AI and Data Platform leader with extensive experience designing, building, and scaling cloud native machine learning platforms and enterprise data-intensive systems. Proven track record leading large cross-functional engineering organizations, defining architecture strategy, and delivering AI-driven platform capabilities in Azure-based environments.
In addition to my professional work, I actively explore topics such as:
- training-data-attribution: Review and Experiments for TDA methods.
- llm-finetuning-lora: Fine-tuned a 7B model with LoRA.
- llm-evaluation-suite: Benchmark for testing LLM truthfulness/hallucinations.
- llm-quantization-benchmark: Benchmarking suite for LLM quantization methods, comparing performance, memory, latency, and throughput.
The repositories in this profile document practical experiments, research prototypes, and technical studies.
- multimodalperception: IEEE Journal paper on multi-modal object detection (Bosch Research).
- iterative-label-improvement: IEEE Conference paper on auto-labelling (Bosch Research).
