Ajith Namboothiri
Senior Project Manager at IBM India Ltd
- Role
- Advisory Project Manager at IBM
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Ajith Namboothiri
A competent professional with an experience of over 25 years in IT specializing in Data Science, AI, Machine Learning, and Large Language Models. Proven expertise in managing and delivering cutting-edge projects in AI, data engineering, mobile applications, and cloud-native development. Skilled in Python, React.js, and prompt engineering, with a strong background in developing and deploying AI solutions on platforms like Watson X.SpecialitiesMachine Learning, NLP, Python, React JS, Summarization, Action Item Extraction, Sentiment Analysis, Prompt Engineering
Experience
Advisory Project Manager
Nov 2003 — Present · Bangalore, IN
Currently managing the squads working on Big Data, Analytics, Cognitive and Mobile projects. Big Data : Formed a team of Big data professionals and developing an enterprise data platform for IBM. The technology stack involved are Hadoop,HDFS,DB2, DataStage,Oozie, Kafka, elastic search, Spark, Flink, Kubenetes, Docker, Java, Python. Analytics & Cognitive: On the IBM enterprise data platform, tools are built for the producers and consumers of the data to do Cognition and analytics. Watson, Bluemix, Python, R and SPSS are part of the technology stack. Mobile Application development team in IBM: Built a team of Mobile application developers and delivered Hybrid mobile applications using Worklight, html, css,javascript, jquery, angular js and dojo. Developed mobile applications for different industry requirements and delivered them in Android and IOS platforms. After handling delivery manager, project manager and technical manager in legacy and Web technologies, excited to work on this growing technology area.
Education
Mar Athanaseus College of Engineering
Bachelor of Technology (B.Tech.), Computer Engineering
1990 — 1994
International Institute of Information Technology Bangalore
PG Diploma in Data Science, Data Science
2017 — 2018
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