Manu Gond
Sr. SDE at AMD
Sundsvall, Västernorrland County, Sweden
Summary
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Senior🎓
Top SchoolManu Gond is a senior software developer and doctoral researcher with eight years of experience at the intersection of computer vision, applied machine learning, and GPU graphics. Currently working on plenoptic technologies—light field capture, novel view synthesis, and augmented telepresence—he focuses on generating new views and scene priors from single or multiple images using implicit and semi-implicit representations. As an Early Stage Researcher in the Plenoptima network, he holds a dual PhD enrollment at Mid Sweden University and TU Berlin and has interned at Logitech on real-time rendering and view synthesis. He previously built ML-driven recommendation systems and backend services at Must, giving him practical deployment experience alongside research depth. Now at AMD he applies GPU ML compute and graphics expertise to bridge research algorithms and production-scale acceleration. Known for combining rigorous academic work with hands-on systems engineering, he often blends parallel programming and IoT insights into computer-vision solutions.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Mid Sweden UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Technische Universität BerlinMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Calcutta
Stackoverflow
174reputation
351kreached
6answers
0questions
Github Skills (55)
mathematics10
twitter-sentiment-analysis10
recommendation-engine9
algorithms9
machine-learning9
machine-learning-algorithms9
physics9
google-cloud9
sentiment9
science9
data-structures9
filtering8
computer-science8
sentiment-analysis8
recommendation-system8
Programming languages (7)
Github contributions (5)
3ZadeSSG/FAQs-Bertelsmann-Challenge-AI-2019-20
Feb 2020 - Feb 2020
FAQs in Slack channel of Udacity's PyTorch Scholarship Challenge.
Contributions:25 commits, 26 pushes in 1 day
pytorchudacitydeep-learningpytorch-scholarship-challengemachine-learning
3ZadeSSG/ContentBased-Movie-Recommendation-using-Sentiment-Analysis
Jun 2019 - Jun 2022
A Hybrid Recommendation model based on sentiment analysis on tweets and item based filtering to closely match preferred recommendation.
Contributions:27 commits, 19 pushes, 2 comments in 3 years
model-basedtwitter-sentiment-analysishybrid-recommendationrecommendationitem
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