prasid74
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, RAG, Qdrant, Hybrid Retrieval (BM25 + dense), Cross-Encoder Reranking, PEFT/LoRA, LangGraph, NLP, Computer Vision, Slurm, PySpark, Vertex AI, AWS, GCP, Docker, Kubernetes, W&B, Airflow, SQL, C++
Resume/CV: https://kubershahi.github.io
Email: [email protected]
ML Engineer / AI Engineer with 2+ years of industry experience across ML systems, NLP, and large-scale data pipelines. Currently a Staff Research Associate at UCSD's Swartz Center for Computational Neuroscience (SCCN), building training infrastructure on EEGDash and braindecode for electroencephalography (EEG) foundation models, validated through retraining and fine-tuning runs on Slurm high-performance computing (HPC). Also working with UCSD's Biomedical Image Analysis Group (BIAG) on a PyTorch/CUDA pipeline for medical image registration-error regression (Pearson r = 0.874 on 147 held-out volumes).
Previously, at Melio, I built production Vertex AI training pipelines that cut experiment turnaround by 20%. At Vayana Network, I built distributed PySpark pipelines processing 5M+ invoices a year, plus graph analytics that contributed to 15% revenue growth.
MS in Computer Science (AI) from UC San Diego. Recent projects include a dual-corpus RAG pipeline for earnings-call contradiction detection with hybrid retrieval and reranking (CrossCheck), an LLM agent evaluation study under adversarial/deceptive conditions across 4 architectures, and low-resource English-Maithili NMT with LoRA fine-tuning. Open to MLE, AI Engineer, Applied Scientist and Research Engineer roles.
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, RAG, Qdrant, Hybrid Retrieval (BM25 + dense), Cross-Encoder Reranking, PEFT/LoRA, LangGraph, NLP, Computer Vision, PySpark, Vertex AI, AWS, GCP, Docker, Kubernetes, W&B, Airflow, SQL, C++
Resume/CV: https://kubershahi.github.io
Email: [email protected]
ML Engineer / AI Engineer with 2+ years of industry experience across ML systems, NLP, and large-scale data pipelines. Currently a Graduate Student Researcher at UCSD's BIAG Lab, where I built an end-to-end PyTorch/CUDA pipeline for registration-error regression, training a 3D U-Net that hit Pearson r = 0.874 on 147 held-out volumes. Previously built production Vertex AI training pipelines cutting experiment turnaround by 20% (Melio), and distributed PySpark ETL processing 5M+ invoices/year plus graph analytics driving 15% revenue growth (Vayana Network).
MS CS (AI) at UC San Diego, GPA 4.0. Recent projects include a dual-corpus RAG pipeline for earnings-call contradiction detection with hybrid retrieval and reranking (CrossCheck), an LLM agent evaluation study under adversarial/deceptive conditions across 4 architectures, and low-resource English-Maithili NMT with LoRA fine-tuning. Open to MLE, AI Engineer, Applied Scientist and Research Engineer roles.
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, RAG, Qdrant, Hybrid Retrieval (BM25 + dense), Cross-Encoder Reranking, PEFT/LoRA, LangGraph, NLP, Computer Vision, PySpark, Vertex AI, AWS, GCP, Docker, Kubernetes, W&B, Airflow, SQL, C++
Resume/CV: https://kubershahi.github.io
Email: [email protected]
ML Engineer / AI Engineer with 2+ years of industry experience across ML systems, NLP, and large-scale data pipelines. Currently a Graduate Student Researcher at UCSD's BIAG Lab, where I built an end-to-end PyTorch/CUDA pipeline for registration-error regression, training a 3D U-Net that hit Pearson r = 0.874 on 147 held-out volumes. Previously built production Vertex AI training pipelines cutting experiment turnaround by 20% (Melio), and distributed PySpark ETL processing 5M+ invoices/year plus graph analytics driving 15% revenue growth (Vayana Network). MS CS (AI) at UC San Diego, GPA 4.0. Recent projects include a dual-corpus RAG pipeline for earnings-call contradiction detection with hybrid retrieval and reranking (CrossCheck), an LLM agent evaluation study under adversarial/deceptive conditions across 4 architectures, and low-resource English-Maithili NMT with LoRA fine-tuning. Open to MLE, AI Engineer, Applied Scientist and Research Engineer roles.
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: [email protected]
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.
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.
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.
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: [email protected]
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.