prasid74

Location: San Diego, US

Remote: Yes (open to hybrid or in-person)

Willing to relocate: Yes (preferred Bay Area, NYC, Austin, and Boston)

Visa: F-1 OPT, 3 years of US work authorization (STEM OPT eligible)

Technologies: Python, PyTorch, Hugging Face, LLMs, PEFT/LoRA, RAG, LangGraph, NLP, Computer Vision, PySpark, Vertex AI, AWS, GCP, Docker, Kubernetes, W&B, Airflow, SQL, C++

Resume/CV: https://kubershahi.github.io

Email: kshahi@ucsd.edu

ML Engineer / AI Engineer with 2+ 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 researched uncertainty quantification for medical image registration at UCSD's BIAG Lab. MS CS (AI) at UC San Diego, GPA 4.0. Past projects span LLM agent evaluation under adversarial conditions, low-resource NMT with LoRA fine-tuning, and abstractive headline generation. Currently building a LangGraph-based agentic search system and a RAG-based document contradiction detector. Open to MLE, AI Engineer, Applied Scientist, and Research Engineer roles.

Location: San Diego, CA

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: kshahi@ucsd.edu

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.

How to apply for this role?

Hi, the form is closed, however, the role looks interested and I would love to be considered. I am local to San Diego, currently a MSCS student at UCSD with 2+ years of industry experience in ML Systems and Fintech. You can find more about my experience at https://kubershahi.github.io/

Location: San Diego, CA

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: kshahi@ucsd.edu

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.

Location: San Diego, CA (or Bay Area / NYC)

Remote: Yes (open to hybrid or in-person)

Willing to relocate: Yes

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: kshahi@ucsd.edu

ML Engineer / AI Engineer / Data Scientist 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 currently 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, low-resource NMT with LoRA, and abstractive headline generation. Open to MLE, AI Engineer, and Applied Scientist roles.