Pathik Ghugare is a talented and driven Machine Learning Engineer based in Mumbai, Maharashtra.
Pathik's professional journey has been marked by his exceptional contributions to the field of Machine Learning. He currently works as a Machine Learning Engineer at Pibit.ai (YC 21) in Bengaluru, where he has played a crucial role in conceptualizing and developing the Loss Run product. His responsibilities have included finalizing labels, annotation strategies, and training AI models for this innovative product.
Pathik's expertise extends to conducting extensive experiments with YOLOv5 and YOLOv8 models, exploring dataset variations, model sizes, and hyperparameter tuning (regmax) to optimize performance. He has also played a key role in deploying models as a service using GitHub CI/CD, Kubernetes, AWS ECR, CodeBuild, CodePipeline, AWS Lambda, and IAM, showcasing his proficiency in leveraging cutting-edge technologies and cloud services.

With a diverse skill set encompassing frameworks such as HuggingFace, Langchain, Llamaindex, PyTorch, TensorFlow, Keras, Pandas, MLFlow, and RAGAS, as well as tools like Git, GitHub, VSCode/PyCharm, Cursor.sh, LMStudio, and Ollama, Pathik is well-equipped to tackle a wide range of challenges in the field of Machine Learning and Artificial Intelligence.

Furthermore, Pathik's expertise extends to infrastructure and cloud services, including Kubernetes, Helm, Docker, AWS, Azure, GCP, and Runpod, enabling him to deploy and manage complex systems efficiently. He also has experience working with databases such as MySQL, PostgreSQL, and DynamoDB, further enhancing his versatility as a well-rounded professional.