IBM Research Labs [ MAR 2018 - Present]
Published:
Tool usage: Python, docker , OpenShift , pytorch, FastAPI
At present Jay is working as Advisory Research Engineer , developing AI solutions for enterprise automation using Machine Learning, Deep Learning, Natural Language Processing, Process Mining, and cloud-native tools. He created significant business impact for IBM by developing several AI solutions for products/platforms and lead several proof-of-concepts(POC) on AI use-cases with clients. Along with creating business impact his day to day work involves contributing to reserach papers and patents. Below are few example projects and POCs
- Developed knowledge curation from documents solution, curated knowledge was used for bootstrapping chat-bots, enhancing document search, and constructing knowledge graphs
- Used by 300+ accounts and A-level research accomplishment with over 25M USD per year revenue
- 2 OTAA awards, from IBM and client for project contributions
- Developed automated ticket dispatching system for assigning correct resolver group to tickets. Used a combination of automated rules,SVM and deep learning methods to achieve human-level accuracy
- Work published in AI magazine in deployment practices and best deployment paper award at IAAI
- Used by 12 different clients and served over 2 Million tickets till date
- Developing AI for business automation platform for busines/IT process discovery, performance monitoring, workforce insights and process automation on the event logs
- A-level research accomplishment with revenue of 3M USD
- 2 product related patents, Application paper at ICPM
- OTAA award for leading and developing the product features
- Client-POCs:
- Bootstrapping chat-bots for retail and manufacturing domain documents and evaluating chat-bot knowledge gap with SME in the loop
- Process discovery from banking application click-stream data, to identify the process behind application interactions and cognitive load estimation, automation recommendation for applications
More details on projects can be found in ‘projects’ section
Apart from his daily work , he likes to mentor student/professionals willing for a switch to Data science/ML related roles.