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Hastika Cheddy
Hastika Cheddy
Full-stack AI/ML Engineer
Hastika Cheddy is a full-stack machine learning engineer and the author of an IEEE-published paper, specializing in the end-to-end architecture of production-grade AI systems. Her work focuses on translating complex business requirements into robust, secure, and scalable technical solutions.
🔷Core Qualifications:
🔹Academic Credentials: She is currently pursuing a Master of Science in AI from the University of Mauritius, building upon a Bachelor of Science in Software Engineering. Her undergraduate research was published by IEEE.
🔹Professional Experience: As the founding and sole Machine Learning Engineer at Cagan Tech Limited, she architected the company's entire AI and MLOps function from the ground up.
🔹Industry Recognition: Hastika is recognized by the LinkedIn community as a Top Voice in Artificial Intelligence, Machine Learning, Artificial Neural Networks, Data Engineering, Generative AI and Data Science.
🔷Areas of Technical Expertise:
🔹MLOps & System Architecture: Design and deployment of end-to-end CI/CD pipelines using Docker, Apache Airflow, and MicroK8s.
🔹Predictive Modeling & Data Science: Development, tuning (GridSearchCV), and evaluation of multiple classifiers for business problems such as customer churn prediction.
🔹NLP & Unsupervised Learning: Application of VADER sentiment analysis and K-Means clustering to extract actionable insights from user interaction and multi-source chat data.
🔹Cloud & Developer Ecosystems: Hands-on experience with Google Cloud Platform (GCP), including Generative AI, and the NVIDIA developer ecosystem.
🔷Core Qualifications:
🔹Academic Credentials: She is currently pursuing a Master of Science in AI from the University of Mauritius, building upon a Bachelor of Science in Software Engineering. Her undergraduate research was published by IEEE.
🔹Professional Experience: As the founding and sole Machine Learning Engineer at Cagan Tech Limited, she architected the company's entire AI and MLOps function from the ground up.
🔹Industry Recognition: Hastika is recognized by the LinkedIn community as a Top Voice in Artificial Intelligence, Machine Learning, Artificial Neural Networks, Data Engineering, Generative AI and Data Science.
🔷Areas of Technical Expertise:
🔹MLOps & System Architecture: Design and deployment of end-to-end CI/CD pipelines using Docker, Apache Airflow, and MicroK8s.
🔹Predictive Modeling & Data Science: Development, tuning (GridSearchCV), and evaluation of multiple classifiers for business problems such as customer churn prediction.
🔹NLP & Unsupervised Learning: Application of VADER sentiment analysis and K-Means clustering to extract actionable insights from user interaction and multi-source chat data.
🔹Cloud & Developer Ecosystems: Hands-on experience with Google Cloud Platform (GCP), including Generative AI, and the NVIDIA developer ecosystem.
Session: