Summary
Khaleelulla Nazeer is a Machine Learning Engineer with nine years of experience bridging analog hardware and ML-driven systems, currently working at SpiNNcloud while serving as scientific staff at TU Dresden. Trained in information and communication engineering (TU Darmstadt), he brings deep hands-on expertise in analog/RF IC design — exemplified by a Master’s thesis designing a compact, digitally adjustable 0.7–2.7 GHz CMOS oscillator with excellent spectral purity and rigorous post-layout validation. His background spans silicon bring-up and characterization at Texas Instruments and Tessolve, embedded systems prototyping, and Python-based production test development, giving him rare end-to-end fluency from chip to software. He applies this cross-domain perspective to ML and signal-processing problems, focusing on robust, low-power solutions for test and measurement workflows. Based in Dresden, he combines academic rigor with industry pragmatism and a proven track record of turning complex analog designs into reproducible, validated systems.
9 years of coding experience
3 years of employment as a software developer
Pre University, PCME, Pre University, PCME at Christ College - Bangalore
Technischen Universität Darmstadt
Bachelor of Engineering (BE), Electrical and Electronics Engineering, Bachelor of Engineering (BE), Electrical and Electronics Engineering at The Oxford College of Engineering
S.S.L.C, S.S.L.C at sree saraswathi vidya mandira
Hindi, Kannada, English, German