About
Highly analytical Data Scientist with a strong foundation in Machine Learning and Deep Learning, specializing in developing and optimizing scalable AI/ML solutions. Proven ability to streamline complex data pipelines, enhance model performance, and implement robust MLOps practices, reducing manual effort by up to 70% and deployment errors by 40%. Adept at leveraging cloud platforms like AWS and Azure to drive significant improvements in system reliability and efficiency.
Work
Bangaluru, Karnataka, India
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Summary
Led the development and optimization of AI/ML pipelines and cloud-based solutions, significantly enhancing operational efficiency and model performance.
Highlights
Constructed robust data generation and model training pipelines using AWS Sagemaker and Azure ML, reducing manual effort by 60%.
Engineered object detection pipelines with CNN and Transformer models, achieving 75% detection and 90% classification accuracy.
Implemented MLOps best practices and automated end-to-end workflows via AWS Step Functions, decreasing manual intervention by 70% and deployment errors by 40%.
Streamlined CI/CD pipelines with GitHub Actions, cutting deployment time by 90% and ensuring consistent model deployment.
Integrated AWS CloudWatch and MLFlow for monitoring systems, reducing incident response time by 40% and enhancing reliability.
Remote, Anywhere, India
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Summary
Developed a responsive web platform and engineered robust user verification mechanisms to enhance user engagement and security.
Highlights
Spearheaded the development of a fully responsive website, improving cross-device compatibility and increasing user engagement by 35%.
Engineered robust user verification and authentication mechanisms, reducing fake bot registrations and spam posts by over 60%.
Integrated reCAPTCHA and Google's security layers for advanced bot detection and prevention.
Skills
Languages
Python, C/C++, Java, SQL.
Technologies/Frameworks
TensorFlow, Keras, PyTorch, OpenCV, Scikit-Learn, Matplotlib, Seaborn, Hugging Face, Streamlit, HTML, CSS.
Developer Tools
AWS (Sagemaker, Lambda, Step Functions, CloudWatch, S3), Azure ML, GitHub Actions, Docker, Neo4j, MySQL, Gradio, Heroku, Salesforce, Git, VS Code.
Concepts
Machine Learning, Deep Learning, Transformers, MLOps, Generative AI, OCR, Feature Engineering, Data Cleaning, Statistics.