Ajay Sainy
Software Engineer at Microsoft
Redmond, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolAjay Sainy is a seasoned software engineer with 11 years of experience building back-end and full-stack systems, currently contributing to Microsoft Azure in Redmond. He combines a Carnegie Mellon MS in Information Technology with hands-on expertise in Java, Python, cloud platforms (Azure/AWS), containerization, and Salesforce, and has led both co-located and distributed teams to award-winning deliveries. Ajay bridges large-scale system design and practical implementation—ranging from RESTful APIs and NoSQL datastores to IoT and big data pipelines—while maintaining an active interest in ML-driven media work. Notably, he contributed ML engineering improvements to the well-known Wav2Lip-GFPGAN project, enhancing lip-sync quality via StyleGAN2/SFT integration and optimized inference pipelines. He is a curious lifelong learner who contributes to open source, mentors newcomers, and volunteers in technical communities outside of work.
10 years of coding experience
4 years of employment as a software developer
Rajiv Gandhi Proudyogiki VishwavidyalayaMaster of Science (MS), Information Technology, A, Master of Science (MS), Information Technology, A at Carnegie Mellon University
English, Hindi, malvi
Stackoverflow
279reputation
74kreached
13answers
20questions
Github Skills (13)
computer-vision9
python8
ffmpeg8
azure-resource-manager6
java6
kubernetes6
html6
src6
gzip6
javascript6
dynamic6
android6
server6
Programming languages (8)
Github contributions (5)
ajay-sainy/Wav2Lip-GFPGAN
Aug 2022 - Oct 2022
High quality Lip sync
Role in this project:
ML Engineer
ML EngineerContributions:13 commits, 1 PR, 14 pushes in 1 month
Contributions summary:Ajay contributed to the Wav2Lip-GFPGAN repository by downloading and integrating essential components such as Wav2Lip and GFPGAN. Their work involved modifying the StyleGAN2Generator to incorporate Spatial Feature Transform (SFT) for enhanced lip sync quality. Further modifications included updating the inference process, optimizing the output pipeline by concatenating processed video segments, and integrating audio for the final output.
deepfakesgfpganwav2lip
ajay-sainy/Devonshire
Nov 2017 - Aug 2022
Contributions:11 pushes, 1 branch in 4 years 10 months
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