Computer scientist in AI & ML, from research to working systems.
PhD, Computer Science · University at Buffalo (SUNY)Montréal, Canada
I design and build AI systems end to end: from research and model development to fast C/C++ inference, cloud training pipelines, and prototype SaaS-style tools backed by models for batch and inference workloads. I’m as comfortable making a model faster and tracking down a bug as I am shaping the product around it.
Agentic systems and RAG pipelines on ChromaDB, plus R&D on new model architectures.
Feed-forward nets, RNNs and LSTMs implemented from scratch for real-time, low-latency use.
Training, evaluation and deployment pipelines that carry models from experiment to working use.
Audio enhancement and real-time code, plus prototyped SaaS-style internal tools running batch jobs and inference.
PythonCC++PyTorchTensorFlowKerasChromaDBGoogle Cloud
LanguagesEnglish fluentFrench functionalPersian fluent
Research · Product design · Implementation · Optimization · Debugging
