About

Argha Mukherjee is a skilled and passionate Machine Learning enthusiast with a focus on advancing the future of AI through innovative development and cutting-edge research. As a Doctoral Researcher in AI-CyberSecurity, Argha has gained extensive experience in EDA, Data Visualization, Linear Regression, Logistic Regression, Naive Bayes, and other machine learning concepts. He is proficient in implementing Deep Learning using Frameworks such as PyTorch, Keras, TensorFlow, etc. He is also well-versed in DevOps Engineering, including CI/CD, Jenkins, Deployments & BuildTools, Virtualisation, GitHub, Packages, Kubernetes, Docker, Continuous Integration, Continuous Deployment, etc. Argha has experience working with AWS technologies like Cloudwatch, S3, SQS, SNS, Redshift, EDX, Lambda, DW, etc. He also has knowledge of SQL deployment best practices. Currently working as a Sr. Software Developer (AI Engineering) at Citiustech, Argha is working as an AI Engineer in the Healthcare domain with IBM Watson Merge team. He has previously worked at UST and Amazon as a Software Developer and DevOps/Support Engineer, respectively. At UST, he designed custom algorithms to perform masking (encryption/decryption) while maintaining integrity. He also worked with Apache Kafka Streamsets, Java Key Store implementation for Security Keys, Apache Spark for bulk data handling, and designing the end-to-end product. At Amazon, he was responsible for shell scripting and debugging, code creation, reviews, and deployment. He also monitored metrics using AWS technologies like Cloudwatch, Dynamo DB, etc., and managed repositories and infrastructure scaling using DevOps methodologies. Argha has an impressive educational background, with a Doctor of Business Administration degree from Golden Gate University, a Master of Science in Machine Learning and Artificial Intelligence from Liverpool John Moores University, and a Post Graduate Diploma Degree in Machine Learning and Artificial Intelligence from IIIT Bangalore. He also has a Bachelor of Engineering in Computer Science & Engineering from Vishveshwaraiah Technological University. Argha has a broad and diverse tech stack, including AI, Research Scientist, Software Engineer, AWS, CI/CD, ML, Naive Bayes, DevOps, Keras, Deep Learning, SQL, NLP, TensorFlow, Pytorch, Python, Kubernetes, Docker, Kafka, Jenkins, Integration, BERT, Spark, test, Word2Vec, OpenCV, infra