Sharad Kakran
Machine Learning Engineer at Microvast GmbH (EMEA)
Kaiserslautern, Rhineland-Palatinate, Germany
Summary
👤
Senior🎓
Top SchoolSharad Kakran is a Machine Learning Engineer with a decade of hands-on experience building scalable data pipelines, deploying ML models to production, and automating MLOps on AWS. He has strong expertise in Python, Apache Spark, TensorFlow, PyTorch and federated learning, having implemented privacy-preserving distributed training and NAS frameworks for computer vision at Fraunhofer ITWM. At Microvast GmbH he continues to apply this blend of big-data engineering and model optimization to real-time systems, drawing on prior work in time-series trading analytics and embedded neuromorphic integrations. Comfortable with Terraform, Docker, and Kubernetes, he bridges research and production—translating novel algorithms into reproducible, cloud-native deployments. Based in Kaiserslautern while studying at TU Kaiserslautern, he brings both academic rigor and practical engineering discipline to end-to-end AI solutions.
10 years of coding experience
6 years of employment as a software developer
Machine Learning Engineer Nanodegree, Machine Learning Engineer Nanodegree at UdacityMasters Computer Science, Masters Computer Science at TU KaiserslauternBachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at SRM IST Chennai
Github Skills (10)
decrypt6
sports-data5
obfuscation5
protect4
python4
encrypt3
data-storage3
decryption3
machine-learning2
javascript1
Programming languages (3)
Github contributions (5)
sharadkak/Self-Supervised-Autoencoder
Mar 2020 - Mar 2020
Contributions:20 commits, 17 pushes, 1 branch in 1 day
SharadGitHub/VGG
Jun 2019 - Oct 2019
Contributions:22 pushes, 2 branches in 4 months
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