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.
Remote: OK (Hybrid/In-person/Remote all OK)
Willing to relocate: Yes, specific locations (Seattle, VA, D.C., Boston, Northeast U.S.)
Technologies:
● Languages: Python, JS/TS, SQL, Rust, C++, C, Bash, Go, Ruby, HTML/CSS
● ML Frameworks: PyTorch, TensorFlow, Scikit-learn, Keras, HuggingFace, NumPy and Pandas (not strictly ML), OpenCV
● Natural Language Processing Tools: NLTK, SpaCy, HuggingFace, OpenAI Playground, RLHF
● Web Dev: React.js, D3.js, Node.js
● Cloud Tech: Cassandra, Redis, Ansible, Docker, Kubernetes, RabbitMQ, AWS (S3, SageMaker, Lambda, MTurk), GCP, Azure, Databricks, Apache Spark, Elasticsearch
● Misc: Few-shot Learning, Zero-shot Learning, Linux (My current OS is Arch), Git
GitHub: https://github.com/AbsolutUnit
LinkedIn: https://www.linkedin.com/in/baruaaneek
Resume/CV: https://imgur.com/a/bMZlqDM
Email: anbarua@proton.me
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.