Headline

Director of Machine Learning @ Cloudastructure, Inc. | Python, PyTorch

About

As Director of Machine Learning at Cloudastructure, I focus on advancing computer vision technologies to enhance safety and security. I oversee the development of high-performance inference pipelines and the management of GPU clusters, bringing a strong command of Python and PyTorch to the role. My efforts have also contributed to setting up the India Global Capability Center to support global operations and innovation. With a B.Tech. in Computer Science and Engineering from NIT Raipur and additional credentials in data analytics and machine learning, I am committed to leveraging my technical expertise to drive impactful solutions. My professional journey has been shaped by a passion for machine learning, collaboration, and delivering cutting-edge advancements in the field.

Location

Bengaluru

AI stack

claude code

claude

codex

grok

huggingface

ChatGPT

Work experience

Director of Machine Learning at Cloudastructure, Inc., Aug 2022 - Present · 4 yrs 2 mos, Wrote high performance inference pipeline for 20M Videos/day. Understood GPU Architectures, understood Pipelining. Loved Pipelining more. Did some surgery using Onnx-Surgeon Managing GPU Clusters. Setup India GCC.

Technical Advisor at ShipScale Software Solutions, Feb 2024 - Feb 2025 · 1 y, Bangalore Urban, Karnataka, India

Software Engineer, Machine Learning at Cloudastructure, Inc., Nov 2020 - Aug 2022 · 1 yr 10 mos, California / Remote, Early Hire, Wearing many hats. Building ML Team and Features. Co-initiated and developed the Remote Guarding offering in collaboration with founders, translating ML capabilities into a production-ready security product Established and scaled the Remote Guarding operations center in India, integrating real-time video intelligence with human-in-the-loop monitoring workflows Built and expanded the India Global Capability Center (GCC), hiring and structuring teams across ML engineering, operations, and data annotation

Machine Learning Engineer at Quantiphi, Apr 2019 - Nov 2020 · 1 yr 8 mos, Mumbai, Maharashtra, India, Worked as a Machine Learning Engineer for AthenasOwl which is a Machine Learning powered video recognition product of Quantiphi. It mines granular details in a video to identify faces, detect objects, identify locales, recognize spoken keywords, and much more. My Day to Day work generally revolves around CNNs/ Image Aspect of Machine Learning.

Machine Learning Engineer at AthenasOwl, Apr 2019 - Nov 2020 · 1 yr 8 mos, Mumbai Metropolitan Region

Business Technology Analyst at Deloitte India (Offices of the US), Jun 2018 - Mar 2019 · 10 mos, Hyderabad Area, India, Worked in Human Capital Service Line which deals with research, analysis and design of critical programs involving different aspects of HR Processes. Got Trained in Workday 30 which is a cloud-based ERP Solution for human capital management and financial management applications. After Training was staffed in worldwide implementation of Financial Giant wherein Delivered both Inbound and Outbound Solutions using Workday Studio and EIBs(Enterprise Interface Builder).

Education

Bachelor of Technology (B.Tech.), Computer Science And Engg., National Institute of Technology Raipur

Stanford Center for Professional Development, XCS224W - Machine Learning with Graphs, Stanford Continuing Studies

Public links

github: https://github.com/abhiksark

medium: https://medium.com/@abhiksark

abhik.ai: https://abhik.ai/