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Computer Vision Engineer at Meta
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Good working experience in video compression and computer vision algorithm development. Developed several deep learning and classical machine learning based solutions for AR, ADAS and generic vision problems. Interested in deep learning applications for generative modelling of images.
Tampere University of Technology 1965-2018
Master of Science (M.S.), Signal processing
January 1, 2011 – January 1, 2013
SJCE Mysore
BE, Electronics and Communication
January 1, 2002 – January 1, 2006
Meta
Computer Vision Engineer at Meta
April 1, 2022 – Present
Zurich, Switzerland
ShareChat
Principal Data Scientist
September 1, 2021 – March 1, 2022
Bangalore Urban, Karnataka, India
BYJU'S (Think & Learn Pvt. Ltd.)
Senior Research Engineer
September 1, 2019 – September 1, 2021
Bengaluru Area, India
Whodat™
Senior Researcher
June 1, 2018 – September 1, 2021
Netradyne
Deep learning
January 1, 2017 – May 1, 2018
Bangalore
LensBricks
computer vision engineer
June 1, 2016 – December 1, 2016
Bangalore
Samsung R&D Institute India
Technical Lead, Multimedia and Vision group
September 1, 2013 – May 1, 2016
Bengaluru Area, India
Nokia Research Center, Tampere, Finland
Research assistant
September 1, 2011 – July 1, 2013
PathPartner Technology
Senior Software Engineer
June 1, 2007 – August 1, 2011
Bengaluru Area, India
Toshiba Embeeded Software India Pvt Ltd.
Associate Software Engineer
August 1, 2006 – June 1, 2007
Bangalore
Natural Language Processing Nanodegree
Udacity
June 24, 2026 – Present
Reinforcement Learning Specialization
Coursera
June 24, 2026 – Present
Neural Networks for Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Probabilistic Graphical Models 1: Representation
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background working in various companies from startups to large corporations (Meta, Samsung, Nokia), suggesting adaptability to different organizational cultures. The roles primarily focus on Computer Vision, Machine Learning, and Signal Processing. While the target role is 'Data Analyst', the candidate's experience is heavily skewed towards research and engineering in CV/ML, which might indicate a potential mismatch with typical data analyst responsibilities (e.g., SQL, A/B testing, business intelligence, dashboarding). The breadth of skills is strong within their specialized domain, but less so for a general data analyst role.
Soft Skills & Operational Fit
The candidate's resume highlights a strong focus on research and development, indicating analytical thinking and problem-solving skills. The progression through senior and principal roles suggests leadership potential and ability to work in complex technical environments. However, without psychometric test results or interview data, specific soft skills like teamwork, stress handling, or communication clarity cannot be fully assessed.