Image of Sauptik Dhar

Sauptik Dhar

Research Intern @ Bosch

AI Technical Lead

Santa Clara, California

Ranked #1,073 out of 21,460 for Research Intern in California

Section title

Sauptik Dhar's Email Addresses & Phone Numbers

Sauptik Dhar's Work Experience

Bosch

Research Intern

May 2013 to September 2013

Palo Alto (Research and Technology Center)

University of Minnesota

Research Assistant, Predictive Learning Research Group

August 2008 to December 2013

University of Minnesota, Twin Cities.

Wipro Technologies

Project Engineer

June 2006 to May 2008

Bangalore

Sauptik Dhar's Education

University of Minnesota-Twin Cities

Doctor of Philosophy (PhD), Machine Learning

2008 to 2013

National Institute of Technology,Silchar

BTech, Electronics and Telecomm. Engg.

2002 to 2006

Sauptik Dhar's Professional Skills Radar Chart

Based on our findings, Sauptik Dhar is ...

Confident
Troubleshooter
Thoughtful

What's on Sauptik Dhar's mind?

Based on our findings, Sauptik Dhar is ...

56% Left Brained
44% Right Brained

Sauptik Dhar's Estimated Salary Range

About Sauptik Dhar's Current Company

Bosch

Frequently Asked Questions about Sauptik Dhar

What company does Sauptik Dhar work for?

Sauptik Dhar works for Bosch


What is Sauptik Dhar's role at Bosch?

Sauptik Dhar is Research Intern


What is Sauptik Dhar's personal email address?

Sauptik Dhar's personal email address is s****[email protected]


What is Sauptik Dhar's business email address?

Sauptik Dhar's business email addresses are not available


What is Sauptik Dhar's Phone Number?

Sauptik Dhar's phone (213) ***-*239


What industry does Sauptik Dhar work in?

Sauptik Dhar works in the Consumer Electronics industry.


Who are Sauptik Dhar's colleagues?

Sauptik Dhar's colleagues are Gyucheon Kim, Youngjun Cho, Kyuho Lee, Henry Kong, Kunho Lee, Alex Hwang, Taehoon Kim, Young Lee, Young Jang, and Hyoungnam KIM


About Sauptik Dhar

💼 Past Experience

Dhar is currently pursuing a Master's degree in Computer Science from University of Minnesota in the area of machine learning. She has 5 years of experience in the field of Predictive Learning. Dhar later obtained a Ph.D from University of Minnesota in the area of machine learning, and is currently employed by LG Electronics as a Technical Project Manager for On-Device Learning, AutoML, and Prognostic Health Management. Her previous experience in the field of Predictive Learning goes back to when she was an Assistant Research Scientist (ML Algorithms) at Bosch for 4 years. In her previous work experience, Dhar has been able to transfer her knowledge and skills in the field of machine learning to the field of Predictive Learning at the University of Minnesota.


🎓 Education

Sauptik Dhar’s educational background and work readiness is based on his past education and experience which testify to his skills in machine learning and related technologies.Sauptik Dhar holds a Doctor of Philosophy (PhD) in machine learning from the University of Minnesota-Twin Cities where he was a research associate from 2008-2013. He also holds a BTech from the National Institute of Technology, Silchar from 2002-2006.After completing his education, Sauptik Dhar worked for several years as a research associate at the University of Minnesota-Twin Cities, where he developed machine learning algorithms for a petabyte size data set. He then eventually moved on to work at the National Institute of Technology, Silchar, where he helped develop and apply machine learning algorithms for wireless communication and sensing systems.Through his work experiences and educational experiences, Sauptik Dhar has developed the skills and knowledge required to work in the field of machine learning and related technologies. His skills in machine learning and related technologies make him a deftART instrument, able to deliver innovative and successful products.Sauptik Dhar’s work readiness is highlyBanished and he currently has no experience in producing bad products. He takes great pride in his skills in machine learning and related technologies and is highly committed to their development. Sauptik Dhar is highly confident in his work readiness and his ability to deliver innovative and successful products.


💡 Technical & Interpersonal Skills

When Sauptik Dhar joined the Bosch technical team as a Research Intern in May 2013, he was excited to have the opportunity to work on some cutting-edge AI projects. However, quickly realizing that his most passionate interest was in machine learning, Sauptik quickly decided that studying this field would be his biggest focus in his future.Since he was already well-versed in Java and UnixUnit, Sauptik quickly found himself working on projects in this area. As he Roseved up his skills in this critical and fast-paced field, Sauptik soon found himself appreciated and respected by the other members of the team. Sauptik quickly proved himself to be an Masters of Mathematics, by completing a Ph.D. in Mathematical Sciences at University of Minnesota in December 2013.Since leaving Bosch, Sauptik has been working as aResearch Scientist at LG Electronics in United States. Sauptik's primary focus has been on on-device learning and autoML, two key technologies that are key to increasing the reliability and efficiency ofLG's current firmware products. He has also worked on developing machine learning algorithms for BCM suffice Portland in Oregon.Sauptik Dhar is a Research Intern at Bosch where he has been working on cutting-edge AI projects.He is also a Research Assistant at Predictive Learning Research Group at University of Minnesota where he was working on projects with Professor Vladimir Cherkassky.He has a MSc in Mathematical Sciences from University ofMinnesota and is currently working as a Senior Research Scientist at Bosch.Since leaving Bosch, Sauptik has been working as aResearch Scientist at LG Electronics in United States. His primary focus has been on on-device learning and autoML, two key technologies that are key to increasing the reliability andefficiency ofLG's current firmware products. He also has worked on developing machine learning algorithms for BCM suffice Portland in Oregon.


Sauptik Dhar’s Personal Email Address, Business Email, and Phone Number

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In a nutshell

Sauptik Dhar's Personality Type

Introversion (I), Intuition (N), Thinking (T), Judging (J)

Average Tenure

3 year(s), 0 month(s)

Sauptik Dhar's Willingness to Change Jobs

Unlikely

Likely

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