About

Kaushik Jeyaraman is a highly skilled Machine Learning Engineer, Data Scientist, NLP Engineer, and Software Developer with over 3 years of experience in the industry. He has a unique blend of expertise in Software Development, Data Science, Machine Learning, and Natural Language Processing. He has worked in both fast-paced startup environments and mature mid-sized companies. Kaushik has developed various modules ranging from data mining, knowledge extraction, natural language processing, Semantic Search, and building Machine learning models. He is passionate about data science and software development and can bring high energy to any organization. Kaushik's technical competencies include Natural Language Processing, Machine Learning, Computer Vision, Data Mining, and Data Engineering. He is proficient in programming languages such as Python, Java, C, and C++. He is also skilled in using tools such as MLflow, OpenShift, Kubernetes, Docker, PySpark, ELK stack, ETL data pipelines, and Tableau. Kaushik has experience working with databases such as MySQL, Elasticsearch, Redis, and Neo4j Graph database. Kaushik has expertise in Machine Learning, including Natural Language Processing, Language Models, Regression Modeling, Random Forest, XGBoost, kNN Classifier, K-means Clustering, Feature Extraction, and Model Evaluation. Currently, Kaushik is working at Global Relay as a Machine Learning Engineer. He has worked on AutoML NLP based solutions that scale to provide custom models to over 10,000 customers. He has also implemented Hyperparameter tuning for 4 classification models and fixed issues in deployment scripts & CI/CD pipeline. In the past, Kaushik has worked at Zoomrx as a Software Development Engineer, Data Science, where he collaborated in a small team to build "Ferma.AI," a data-driven pharmaceutical congress management suite with an integrated AI-based semantic search that can handle 1000+ user traffic. He also worked at Zoho as an Intern - Software Developer, where he delivered a successful Proof of Concept for a feature in Enterprise product "BitLocker Encryption Management System." Kaushik holds a Masters's degree in Applied Data Science from the University of Victoria and a Bachelor of Engineering degree in Computer Science Engineering from New Horizon College of Engineering. Kaushik's technical skills include ML, NLP, Data Scientist, Software Engineer, Research Scientist, Search, Docker, Scikit, Neo4j, Kubernetes, Tensorflow, XG