Summary
Gaurav Singh is a software engineer and machine learning practitioner with nine years of experience building AI-driven solutions across agriculture, IoT, nonprofit analytics, and sports analytics. He has architected end-to-end systems—from sensor and time-series pipelines to recommendation engines and voice cloning—bringing models like FastSpeech 2 and HiFiGAN into production for challenging Indian-speaker synthesis. His work ranges from crop-disease detection and seed quality classification to donor churn modeling and content recommendation, demonstrating a balance of applied research and pragmatic engineering. Comfortable with both cloud services (e.g., Amazon Textract) and low-level optimization (CUDA/GPGPU), he repeatedly turns noisy real-world data into actionable insights. Based in Bengaluru, he pairs an M.Sc. in Computer Science with a hands-on mindset and a daily meditation practice that he credits for sustained focus on complex ML problems.
9 years of coding experience
9 years of employment as a software developer
Primary School, Primary School at Tagore Bal Vidya Mandir
Bachelor of Technology - BTech, Computer Science, 7.5 GPA, Bachelor of Technology - BTech, Computer Science, 7.5 GPA at University School of Information Technology, GGSIP University, Delhi, India
Technischen Universität Darmstadt
School Secondary Education, Computer Science, 88.8%, School Secondary Education, Computer Science, 88.8% at Jawahar Navodaya Vidhyalaya, Ghazipur, Up, India
Bachelor of Technology - BTech, Computer Science, A, Bachelor of Technology - BTech, Computer Science, A at Guru Gobind Singh Indraprastha University
English, Hindi, German