Akash Antony
Data Analytics Consultant
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolAkash Antony is a Data Analytics Consultant and machine learning engineer based in Munich with 9 years of professional experience and 5+ years focused on designing end-to-end ML solutions. At Qualcomm he builds and deploys production-ready models, drawing on strong Python and PyTorch skills and a practical background in data labeling and model lifecycle management. His master's thesis work on a deep-learning network intrusion detection system demonstrates hands-on experience generating custom datasets, simulating attacks, and applying CNNs and autoencoders for multi-class classification. He also mentors Deep Learning Nanodegree students, providing production-ready code advice and rigorous project feedback. Comfortable bridging enterprise systems and ML, he began his career in SAP engineering and testing, which gives him a pragmatic, process-oriented approach to delivering analytics in complex environments. Known for a persistent bug-fighting mindset and continuous curiosity, he combines applied research instincts with real-world deployment experience.
9 years of coding experience
4 years of employment as a software developer
Google Developer Challenge Scholarship, Android Basics, Google Developer Challenge Scholarship, Android Basics at UdacityBachelor of Technology (B.Tech.), Electronics and Communications Engineering, 7.5 CGPA, Bachelor of Technology (B.Tech.), Electronics and Communications Engineering, 7.5 CGPA at Karunya Institute of Technology and SciencesMaster of Science (M.S.), Digital Engineering, 2.2 CGPA, Master of Science (M.S.), Digital Engineering, 2.2 CGPA at Otto-von-Guericke-Universität Magdeburg
English, Hindi, Malayalam, German
Stackoverflow
3reputation
809reached
0answers
2questions
Github Skills (53)
emotion8
emotion-recognition7
computer-vision6
image-masking6
opencv6
python6
denial-of-service6
networking6
image-thresholding6
traffic5
ids5
deep-learning5
climate-change5
ethernet5
perl5
Programming languages (5)
Github contributions (5)
kshntn/EmoAR
Aug 2019 - Sep 2019
Repository for Facial Emotion Recognition Project for Udacity Secure and Private AI Challenge Scholarship
Contributions:62 commits, 2 PRs, 60 pushes in 1 month
secureemotion-recognitionemotionudacitydeep-learning
kshntn/SmogDetection
Jul 2019 - Jul 2019
Contributions:5 commits, 4 pushes, 1 branch in 3 days
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