With over 6 years of experience as a Machine Learning Engineer and a strong academic background in Data Science, I am eager to contribute my expertise in AI-driven solutions to your team. During my tenure at HyperVerge, I developed and deployed state-of-the-art multimodal Transformer models for identity verification, improving Named Entity Recognition accuracy by 30%. I also built large-scale data pipelines processing over 600 million data points, optimizing real-world AI applications across multiple geographies. My research-driven approach extends beyond industry; I have independently implemented and analyzed Transformer architectures and developed scalable NLP solutions leveraging Hadoop and Spark. Currently pursuing my Master's in Data Science at Uppsala University, I am deepening my expertise in deep learning. My technical proficiency includes Python, PyTorch, TensorFlow, and MLOps tools such as Docker and ONNX.
| ProfileType | Give Support |
| Primary Technology | Generative AI, AWS, Bash, C/C++, GCP, Kubernetes, Linux Power User, Python, Pytorch, Tensor Flow |
| Relavent Experiance | 6+ |
| Current Avalibility | Available |
| Mother Tongue | English |
| Gender | Male |
