I am a senior ML engineer with 5+ years in research and building scalable AI systems. Recently completed my Master’s specializing in NLP from the University of Washington, and I've worked across the stack, from creating data pipelines, model research and building to scalable deployments using Kubernetes and AWS.
Previously a founding engineer at a Legal AI startup, where I led the development of their flagship NLP product, I’ve designed multimodal AI systems that saved millions in potential losses and evaluated and integrated LLMs like GPT-3, Gemini and LLaMA into Klaviyo’s email editor. Hands-on with PyTorch, Langchain, and MLOps. Currently working on improving compositionality in Generative AI models with a UW professor.
I’m ready to jump into a new role immediately or take on contract work! Feel free to reach out to me
I am a senior ML engineer with 5+ years in research and building scalable AI systems. Recently completed my Master’s specializing in NLP from the University of Washington, and I've worked across the stack, from creating data pipelines, model research and building to scalable deployments using Kubernetes and AWS.
Previously a founding engineer at a Legal AI startup, where I led the development of their flagship NLP product, I’ve designed multimodal AI systems that saved millions in potential losses and evaluated and integrated LLMs like GPT-3, Gemini and LLaMA into Klaviyo’s email editor. Hands-on with PyTorch, Hugging Face, and MLOps. Currently working on improving compositionality in Generative AI models with a UW professor.
I’m ready to jump into a new role immediately or take on contract work! Feel free to reach out to me.
I have been working as a Machine Learning engineer for more than two years. I have majorly worked on deriving insights from legal contracts. I have worked variety of different models such as building BERT based legal NER systems, question answering models for contracts, abstractive text summarisers using transformers. I have also been involved in developing auto-train pipelines and an hierarchical multi-classifier system that produces a RAG analysis for a given legal contract. Apart from NLP i have also worked on object detection and localisation task along with image captioning.
I also have experience in deploying the models to production using tf serving, docker and kubernetes.
More information about my work and various projects can be found in my CV.
Location: Seattle, WA, USA
Remote: Flexible
Willing to relocate: Yes
Technologies: Python, Pytorch, Tensorflow, Huggingface, Langchain, Pandas, Kubernetes, Docker, AWS, GCP, Elasticsearch, Microservices, Natural Language Processing (NLP), NLU, GenerativeAI, Computer Vision, Large-scale System Design
Resume: https://drive.google.com/file/d/1KdiYb9rMVuES6NlXGgCdVPFFviK...
Email: bhanuuw@uw.edu
Work Experience: 5+ years
I am a senior ML engineer with 5+ years in research and building scalable AI systems. Recently completed my Master’s specializing in NLP from the University of Washington, and I've worked across the stack, from creating data pipelines, model research and building to scalable deployments using Kubernetes and AWS.
Previously a founding engineer at a Legal AI startup, where I led the development of their flagship NLP product, I’ve designed multimodal AI systems that saved millions in potential losses and evaluated and integrated LLMs like GPT-3, Gemini and LLaMA into Klaviyo’s email editor. Hands-on with PyTorch, Langchain, and MLOps. Currently working on improving compositionality in Generative AI models with a UW professor.
I’m ready to jump into a new role immediately or take on contract work! Feel free to reach out to me