AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Group Leader - Image Processing and AI @ Philips | Engineering Leadership, Data Modeling
Specialties: Data science and analytics * Algorithms * Machine Learning* Deep Learning * Medical Image processing and analysis * Research and advanced solutions development in neurology, cardiovascular, radiation therapy, image guided interventions and MSK * Commercialisation of research output * Project and Product Management * R&D Collaborations * Healthcare technology initiatives for emerging markets * Intellectual Property and Publications * Software Architecture *DFSS - 18+ years of experience in delivering advanced diagnostic and image guided solutions in neurology, cardiovascular, radiation therapy, surgical interventions and MSK; building solutions for emerging markets. - Experienced coach of senior technologists in design and development of advanced heartcare solutions and algorithm development in artificial intelligence, medical image analytics and computer vision. - Experience in building successful team for technology development in niche healthcare space - Leader in commercialization of research output; Successful track record of bringing medical image analysis and machine learning use cases into production/clinical realization (GE AutoBone, Philips Pinnacle Dynamic Planning, Philips IMALYTICS) - 5+ years of experience in project and cross functional program management; Managing research collaborations for solution co-creation and validation. - 19 granted patents, 15+ peer-reviewed publications, 1 book chapter and 5+ invited talks - Hands-on experience in open source tools for machine learning, image processing and medical data visualization: VTK, ITK, Open CV, numpy, pandas, scikit-learn, Keras, Theano and Caffe
Manipal Academy of Higher Education
MS, Medical Software
January 1, 1998 – January 1, 2000
Manipal Institute of Technology
BE, Electrical and Electronics
January 1, 1994 – January 1, 1998
Philips
Group Leader - Image Processing and AI
March 1, 2024 – Present
Philips
Senior Scientist II
January 1, 2019 – February 1, 2024
Philips
R&D Manager
February 1, 2016 – December 1, 2018
Philips Research India
Principal Scientist
October 1, 2013 – March 1, 2015
Philips Research India
Sr.Domain Specialist - Algortihms/Medical Image Processing
April 1, 2011 – September 1, 2013
Philips Research India
Domain Specialist - Algortihms/Medical Image Processing
August 1, 2008 – April 1, 2011
Philips Research India
Software Architect
April 1, 2007 – August 1, 2008
GE Global Research
Lead Scientist
June 1, 2006 – April 1, 2007
GE Global Research
Research Scientist
February 1, 2004 – May 1, 2006
GE Global Research
Visualization Engineer
October 1, 2000 – January 1, 2004
Cultural Fit Analysis
The candidate has a very focused career path primarily within large medical technology companies (Philips, GE). While this demonstrates deep domain expertise, the lack of diverse industry experience or project types outside of medical imaging and algorithms might indicate a narrower cultural exposure. The target role of ML Engineer aligns well with their recent focus on AI, but the breadth of ML applications beyond medical imaging is not explicitly demonstrated. The candidate's experience is heavily weighted towards R&D and leadership within established corporate structures.
Soft Skills & Operational Fit
The candidate's career progression within Philips and GE, including roles like Group Leader and R&D Manager, suggests strong leadership, resource allocation, quality management, and communication skills. These are critical for operational fit in a senior ML Engineer role, especially in managing projects and potentially mentoring junior team members. The long tenure at Philips also indicates loyalty and stability.