Ramavtar Malav
SDE 2 at Amazon
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolRamavtar Malav is an SDE 2 based in Seattle with nine years of experience building scalable software and applied ML systems across startups and large tech companies. He holds MTech and BTech degrees from IIT Kanpur, completed a visiting research stint at KAIST, and brings a strong academic grounding in electrical engineering and AI. At Amazon he progressed through engineering roles in Bengaluru and now supports projects from the Seattle hub, pairing production-grade software practices with machine learning expertise honed at Zilingo and IPsoft. His background includes enterprise payments work at Visa and research internships at IITK and Samsung, reflecting versatility across research, product, and production environments. Colleagues describe him as a pragmatic problem-solver who bridges theoretical AI concepts with robust engineering delivery. An IITK alumnus active on GitHub, he blends rigorous technical training with real-world impact in distributed systems and ML-driven features.
10 years of coding experience
8 years of employment as a software developer
Indian Institute of Technology KanpurVisiting Researcher, Visiting Researcher at Korea Advanced Institute of Science and Technology
English, Hindi
Stackoverflow
63reputation
3kreached
0answers
3questions
Github Skills (94)
bounding10
image-enhancement10
slow-motion10
whisper9
self-supervised-learning9
simulator9
voc9
visualize9
voice-recognition9
deep-reinforcement-learning8
conformer8
unreal8
speech8
asr8
vocoder8
Programming languages (8)
Github contributions (5)
rmalav15/visualize-voc-format-data
Mar 2019 - Nov 2021
A simple utility programe to visualize pascal voc (format) dataset images with bounding boxes. Useful to check whether there is any error in forming annotation files.
Contributions:7 commits, 1 PR, 6 pushes in 2 years 8 months
pascal-vocpascalboundingvisualizedataset
rmalav15/Super-SloMo
Mar 2019 - Jul 2019
Pure Tensorflow Implementation of Super Slomo (https://arxiv.org/abs/1712.00080)
Contributions:55 commits, 30 pushes, 7 comments in 3 months
tensorflowsuper-slomotensorflow-implementationsdeep-learningslow-motion
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