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Data Scientist with over 4 years of industrial experience and 5+ years of expertise in developing Machine Learning, Deep Learning and Natural Language Processing applications along with 3 International publications.

A results-oriented Applied AI/ML Engineer with over five years of experience in crafting sophisticated speech recognition, Natural Language Processing (NLP), and Generative AI solutions. I possess a proven ability to deliver impactful, high-quality outcomes that align with business objectives. My technical proficiency encompasses Python, PyTorch, TensorFlow, and Hugging Face, complemented by expertise in cloud environments such as AWS and Azure. I am deeply passionate about driving innovation within the AI landscape and thrive in collaborative environments with dynamic teams.A results-oriented Applied AI/ML Engineer with over five years of experience in crafting sophisticated speech recognition, Natural Language Processing (NLP), and Generative AI solutions. I possess a proven ability to deliver impactful, high-quality outcomes that align with business objectives. My technical proficiency encompasses Python, PyTorch, TensorFlow, and Hugging Face, complemented by expertise in cloud environments such as AWS and Azure. I am deeply passionate about driving innovation within the AI landscape and thrive in collaborative environments with dynamic teams.

Data Science has been my major point of interest for a year now and my zest lies majorly in Machine Learning. I find easy coding in Python, but I never limit myself to learning Python just for Data Science.

I am a Data Scientist and Data Engineer with over five years of experience in Python, data analytics, and machine learning. I specialize in building data pipelines, deploying scalable machine learning models, and solving real-world problems using AI. I have extensive experience with tools like TensorFlow, Scikit-learn, and cloud platforms like AWS and GCP. As a freelancer, I work on a variety of projects, delivering end-to-end solutions that transform data into actionable insights for clients across multiple industries.

Currently, immersed in the captivating world of Generative AI, exploring its potential and pushing boundaries. With four years (4) of hands-on experience in building Hugging Face models for classification, NER, Summarization, and Question Answering, I've honed my skills in overcoming complex architectural and scalability challenges across diverse industries. Proficient in data modeling and processing, I apply machine learning and deep learning techniques to create practical solutions. I take pride in translating business requirements into meaningful deliverables.

With 7 years of experience in Data Science and a total experience of 12 years, I specialize in Natural Language Processing (NLP). My proficiency in NLP libraries such as NLTK, spaCy, OpenAI, and Hugging Face Transformers allows me to rapidly engineer and optimize models for production-grade deployment. My agile development skills, MLFlow expertise, and AWS proficiency ensure seamless model management and exceptional performance. I use powerful techniques such as Transformer Architecture redesign, Data Augmentation, and Hyperparameter optimization to guarantee optimal results. My strengths lie in developing LLM models for specific languages and domains, creating custom tokenization, and implementing Named Entity Recognition (NER) within NLP pipelines. My ultimate goal is to provide innovative NLP solutions that have a tangible impact. As the NLP field constantly evolves, I inspire creativity and offer game-changing solutions to ensure continued success.