I am a seasoned Data Science Consultant with extensive experience in machine learning, deep learning, and natural language processing. With a strong foundation in Computer Science Engineering, I have spent the past several years developing and deploying AI-powered solutions across diverse industries.
Currently working with Valona Intelligence, I lead the development of multilingual AI translation systems that have doubled performance while reducing costs by 50%. My expertise extends to designing and implementing industry classification pipelines with significant accuracy improvements in production environments.
As a Machine Learning Engineer, I've built and deployed various NLP solutions including pre-trained embedding models and Large Language Models utilizing RAG techniques, achieving up to 95% accuracy in industry classification tasks. My experience with transformer architectures for Masked Language Modeling has enhanced context understanding across various applications.
My technical proficiency spans Python, PyTorch, TensorFlow, Hugging Face, and cloud infrastructure including AWS and Azure. I excel at developing end-to-end machine learning pipelines from research to production, with particular strengths in:
Natural Language Processing and multilingual systems
Deep learning with transformer architectures
Model deployment and optimization in production
Containerization using Docker and Kubernetes
Cloud-native ML solutions
Throughout my career at organizations like H10 AI, Expedite Commerce, Trantor, and BlackNet, I've consistently delivered solutions that enhance business performance, optimize costs, and drive innovation. I'm passionate about pushing the boundaries of AI technology and am seeking opportunities as an AI/ML Engineer where I can apply my expertise in ML, DL, and NLP to solve complex problems.
๐ Nationality | ๐ฎ๐ณ India |
๐ก Residency | ๐ฎ๐ณ India |
๐ Location | ๐ฎ๐ณ India |
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yugaljain1999 |
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https://linkedin.com/in/yugaljain03 |
Skilled in | machine learning deep learning python pytorch nlp deployment aws azure docker kubernetes fastapi |
Fluent in | english |
Preferred timezone | 0,+1,+2,+3,+4,+5,+6 |
Preferred annual pay (min) | $50,000/year |
Preferred hourly pay (min) | $25/hour |
Last seen | 18 days ago |
Signed up | 18 days ago |
Badges |
๐จโ๐ป Remote worker ๐ Early adopter |
2023 - Now: Data Science Consultant @ Valona Intelligence
2022 - 2023: Machine Learning Engineer @ Expedite Commerce
2021 - 2022: Machine Learning Engineer @ Trantor