ML/NLP Engineer

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Description

TensorFlow JS/TS Elasticsearch Git Pandas Kubernetes C++ GCP Few-shot Learning SpaCy Scikit-learn Zero-shot Learning C Go React.js NumPy NLTK HuggingFace RLHF Docker SQL PyTorch Node.js D3.js OpenAI Playground OpenCV Linux RabbitMQ Rust HTML/CSS Redis Azure Ansible Keras AWS Ruby Databricks Cassandra Python Bash Apache Spark

I'm a new grad from SUNY Stony Brook and upcoming OMSCS student at GTech. I've worked on a breadth of ML experiences, from designing a pipeline for PDF data extraction at Rose, to infrastructure management and diagnosis at Twitter, to academic research at our Language Understanding and Reasoning Lab on Natural Language Understanding tasks for testing LLM limits. Have been working as an intern at various companies from August 2021 to February 2023, with lots of ownership over projects and autonomy. Looking for an exciting role, preferably in the ML/NLP space, and looking to work as an MLE/SWE/DS in ML teams or ML-adjacent teams.