Ramesh Appana
Founder And Researcher at Setspace Modulars
Hyderabad, Telangana, India
Summary
👤
Senior🎓
Top SchoolRamesh Appana is a machine-learning researcher-turned-founder with nine years of experience building ML-driven products and embedded systems. He has a PhD-focused background in pattern recognition and deep learning from the University of Ulsan and a practical track record delivering NLP, speech, and multimodal emotion-analysis systems at Leoforce. At NeoSetSpace he now applies that technical depth to physical products, designing smart-usage furniture and automating a modular Industry 4.0 manufacturing line. His blend of signal/image processing expertise, embedded-product engineering, and product architecture means he can take solutions from research prototypes to production-grade hardware and cloud services. Based in Hyderabad, he uniquely bridges research rigor with hands-on fabrication and sales enablement for the interiors industry. Colleagues describe him as an enthusiastic researcher who turns advanced ML concepts into tangible, market-ready artifacts.
9 years of coding experience
16 years of employment as a software developer
Master’s Degree Electrical Engineering, Master’s Degree Electrical Engineering at Blekinge Tekniska HögskolaDoctor of Philosophy (Ph.D.) Computer Science, Machine Learning, Doctor of Philosophy (Ph.D.) Computer Science, Machine Learning at University of UlsanBachelors Degree Electronics and Communications, Bachelors Degree Electronics and Communications at Anna University Chennai
English, Telugu, Tamil, Hindi
Stackoverflow
1,716reputation
274kreached
21answers
72questions
Github Skills (44)
python10
classification10
machine-learning10
deep-learning10
tensorflow10
convolution10
fault10
bearing10
spyder9
fasttext9
ml9
deep-neural-networks9
neural-network9
anaconda9
neural9
Programming languages (5)
Github contributions (5)
raady07/AI-Workshop-Materials
Feb 2023 - Mar 2023
Contributions:28 commits, 29 pushes, 1 branch in 1 month
raady07/CNN-for-bearing-fault-diagnosis
Dec 2017 - Nov 2019
CNN applied to bearing signals for analysis
Contributions:5 commits, 2 PRs, 4 pushes in 1 year 11 months
pythonbearingmachine-learningsignalscnn
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