Deepak Mangla is a Director of Multimodal AI with eight years of hands-on experience building computer vision and machine learning systems for startups and product teams. He has progressed through technical leadership roles at ALETHIA AI—from engineer to advisor to director—while founding and leading early-stage ventures focused on applied AI. Deepak combines deep systems-level skills (quantization, pruning, Winograd/FFT convolution optimizations, memory layout and model binarization) with product sensibilities that drive edge-first deployments and real-world performance gains. His work on an in-house deep learning framework for edge devices demonstrates a focus on latency, power efficiency and pragmatic serialization formats. Based in Faridabad, India, he bridges software engineering, human behavior insights and ML research to ship multimodal experiences. Colleagues describe him as an entrepreneurial technologist who turns research-grade optimizations into production-ready products.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Technology - BTech Information Technology, Bachelor of Technology - BTech Information Technology at YMCA University of Science & Technology
Computer vision based Parking Assistance application
Contributions:5 PRs, 12 pushes in 3 months
pythonvisioncomputer-visionassistanceparking
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Deepak Mangla - Director Of Multimodal AI at ALETHIA AI