ML Engineer / AI Engineer with 3+ years of industry experience across ML systems, NLP, and large-scale data pipelines. Built and shipped production Vertex AI training pipelines (Melio), distributed PySpark ETL processing 5M+ invoices/year and graph analytics driving 15% revenue growth (Vayana Network), and researching uncertainty quantification for medical image registration at UCSD's BIAG Lab. MS CS (AI) at UC San Diego, GPA 4.0. Projects span LLM agent evaluation under adversarial conditions, low-resource NMT with LoRA fine-tuning, and abstractive headline generation. Open to MLE, AI Engineer, Applied Scientist, and Research Engineer roles.
Remote: Yes (open to hybrid or in-person)
Willing to relocate: Yes (including Bay Area, NYC, or elsewhere)
Visa: F-1 OPT, 3 years of US work authorization (STEM OPT eligible)
Technologies: Python, PyTorch, Hugging Face, LLMs, PEFT/LoRA, RAG, NLP, Computer Vision, PySpark, Vertex AI, AWS, GCP, Docker, Kubernetes, W&B, Airflow, SQL, C++
Résumé/CV: https://kubershahi.github.io
Email: [email protected]
ML Engineer / AI Engineer with 3+ years of industry experience across ML systems, NLP, and large-scale data pipelines. Built and shipped production Vertex AI training pipelines (Melio), distributed PySpark ETL processing 5M+ invoices/year and graph analytics driving 15% revenue growth (Vayana Network), and researching uncertainty quantification for medical image registration at UCSD's BIAG Lab. MS CS (AI) at UC San Diego, GPA 4.0. Projects span LLM agent evaluation under adversarial conditions, low-resource NMT with LoRA fine-tuning, and abstractive headline generation. Open to MLE, AI Engineer, Applied Scientist, and Research Engineer roles.