Timo Roman
AI EngineerDeep Learning computer vision | AI
NVIDIA
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Deep Learning computer vision | AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Overall 15+ years of experience in research, program, project & people management: research in statistical signal processing (PhD, 2006), industry R&D and standardization in mobile wireless (9 years), dived recently into Deep Learning and now leading the Deep Learning Applied Research team at NVIDIA Helsinki.
Teknillinen korkeakoulu-Tekniska högskolan
PhD, Signal Processing Science and Technology
January 1, 2001 – January 1, 2006
Swiss Federal Institute of Technology, Lausanne, Switzerland
Doctoral School in Communication Systems, Telecommunications Engineering
January 1, 2000 – January 1, 2001
EURECOM Institute, Sophia-Antipolis, France
MSc., Telecommunications Engineering
January 1, 1999 – January 1, 2000
Swiss Federal Institute of Technology, Lausanne, Switzerland
MSc., Telecommunications Engineering
January 1, 1995 – January 1, 2000
Lycee Camille Pissarro
French Baccalauréat, Scientific Track
January 1, 1992 – January 1, 1995
NVIDIA
Senior Manager, Deep Learning Applied Research
July 1, 2015 – Present
NVIDIA
Standardization Engineering Manager
November 1, 2013 – June 1, 2015
Renesas Mobile Corporation
Principal Researcher
December 1, 2010 – October 1, 2013
Helsinki, Finland
Nokia
Senior Research Specialist / Project Manager / 3GPP RAN1 Delegate
August 1, 2006 – December 1, 2010
Helsinki, Finland
Helsinki University of Technology
Researcher
September 1, 2001 – June 1, 2006
Espoo, Finland
STMicroelectronics
Research Engineer
December 1, 2000 – July 1, 2001
Geneva Area, Switzerland
Nokia Research Center
Research Engineer
January 1, 2000 – October 1, 2000
Helsinki, Finland
L'Oréal
Trainee
January 1, 1997 – January 1, 1998
Paris Area, France
LTE Release 11 Advanced User Equipment Receivers
September 1, 2011 – December 1, 2012
Renesas Mobile internal responsible for the LTE Release 11 Study and Work Items on advanced User Equipment receivers. Managed people working on link and system level performance, in close connection with implementation teams. Acted as rapporteur in 3GPP for Work Item, responsible for the progress of the work and chairing ad-hoc sessions during RAN4 meetings. The work item was successfully closed on time in December 2012.
LTE Downlink Physical Layer Research and Standardization
March 1, 2008 – June 1, 2010
In charge of LTE Release 8/9/10 downlink physical layer project, part of the joint R&D program between Nokia and Nokia Siemens Networks.
Cultural Fit Analysis
The candidate has a strong background in telecommunications and signal processing, transitioning into deep learning and AI at NVIDIA. While the core expertise is highly technical and research-oriented, the projects listed are primarily in telecommunications standardization, which is not directly aligned with typical AI product development or research in diverse AI domains. The shift to 'Deep Learning Applied Research' at NVIDIA shows adaptability, but the overall project diversity outside of telecommunications and specific deep learning applications (computer vision/graphics for autonomous driving) is limited. This might indicate a more specialized cultural fit rather than a broad one for a general AI Engineer role.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and project management skills through roles at NVIDIA, Renesas Mobile, and Nokia, where they managed teams and standardization programs. Their experience as a rapporteur in 3GPP indicates strong communication and negotiation abilities in a technical context. The long tenure at NVIDIA suggests stability and growth within a demanding technical environment. However, the provided data does not offer direct insights into stress handling, work attitude, or team collaboration beyond what can be inferred from leadership roles.