Ing. Vishal Kesti

Key Achievements:  Streamlined the data gathering process and significantly improved workflow productivity by 80% by integrating machine learning.  Improved data precision by including scanned documents that were previously excluded. Implemented OCR that handles scanned data with up to 90% accuracy.  Reduced manual effort by 60% with entity recognition.  Incorporated a state-of-the-art transformer model to classify extracted information into relevant and irrelevant data sets.

Key Achievements:  Reduced manual work by 70% for the test team. Condensed log analysis for bug identification by 1-2 days per bug.  Recognized with the Manager’s Choice Award for consistently completing deliverables on time.  Liaised cross-functionally within the organization to present test cycle reports and suggest improvements to the testing process.  Played a key role in developing a continuous delivery pipeline for the test cycle using Jenkins.

Key Achievements:  Built a multiclass model to organize test cases more efficiently, resulting in improved quality of service for the customer and a more stable test bucket for the organization.  Created a model to classify errors using supervised machine learning, helping testers write effective test cases to address customer needs and significantly diminishing manual work.

-Artificial Intelligence -Machine learning -NLP -BIG DATA with SPARK -DEEP Learning -Neural Network