Ankur Kumar Srivastava

Founder

Noida, Uttar Pradesh, India12 yrs experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Founder of AI-driven architecture platform.
  • Expert in computer vision and machine learning.
  • Hands-on experience in diverse industries.
Stackforce AI infers this person is a SaaS and AI specialist with a focus on computer vision and augmented reality.

Contact

Skills

Core Skills

Generative AiComputer VisionMachine LearningProject PlanningLeadershipMechatronicsDesign For Manufacturing

Other Skills

Technical EngineeringProduct DevelopmentAugmented Reality (AR)C#PythonJavaScriptC++Three.jsUnityReact.jsPyTorchAmazon Web Services (AWS)Rust (Programming Language)Google Cloud Platform (GCP)Project Management

About

#LLM #AugmentedReality #AppliedComputerVision #DeepLearning #DistributedSystems #IOT #Mechatronics

Experience

12 yrs
Total Experience
1 yr 6 mos
Average Tenure
2 yrs 5 mos
Current Experience

Cobotiks

Founder & CEO

Jan 2024Present · 2 yrs 5 mos · Greater Noida

  • AI platform that generates and converts text or 2D plans into BIM, cost estimates, and immersive 3D/VR experiences.
  • We're moving beyond traditional CAD tools to enable rapid ideation, intuitive 3D design, and smarter collaboration — shaping the future of spatial design.
Generative AIComputer VisionTechnical EngineeringProduct DevelopmentMachine LearningAugmented Reality (AR)+11

Career break

Personal goal pursuit

Apr 2022Jan 2024 · 1 yr 9 mos · Hazaribagh, Jharkhand

  • Start of my full-time entrepreneurial journey after returning to India, with a clear focus on exploring long-term direction — no looking back.
  • Engaged in hands-on development through freelance and demo projects that applied AI and computer vision across industries including:
  • Architecture, Engineering & Construction (AEC)
  • E-commerce
  • Defence (Para-military medical applications)
  • Education
  • This period was instrumental in sharpening my technical and product thinking while experimenting with emerging technologies in real-world use cases.

Aptiv

Applied Machine Learning Engineer

Apr 2019Mar 2022 · 2 yrs 11 mos · Wuppertal Area, Germany

  • Computer Vision applied research (Semi-supervised learning, Image classification, Object detection and Body pose tracking), Advanced Safety and User Experience.
  • Design and development of a distributed machine learning framework for real-time inference on embedded devices.
  • Development of an automated SIL, HIL framework for the evaluation and fine tuning of ML algorithms.
  • Optimisation of ML algos on Qualcomm Snapdragon, Google coral, TI, Ambarella, Intel, ARM and Renesas.
Project ManagementComputer VisionGenerative AIMachine LearningAugmented Reality (AR)Embedded Systems+1

Renesas electronics

2 roles

Master Thesis

Jul 2018Feb 2019 · 7 mos · Düsseldorf Area, Germany

  • Topic: Study and Implement the concept to support Recurrent Neural Networks on Embedded Hardware for Autonomous Vehicles.
  • Assignments:
  • Literature Survey on the adaptation of RNNs in ADAS to solve problems like Semantic Segmentation, Driver Intent/ Behavior prediction, Lane change assist, Object detection and tracking, Vehicle trajectory prediction, Adaptive Cruise Control and Collision Risk Assessment.
  • Implementation of LSTMs in the existing hardware parallel co-processor.
  • Study the potential changes in the current hardware accelerators to support RNN efficiently.
Computer VisionGenerative AIMachine LearningEmbedded Systems

Research Intern - Deep Learning

Apr 2018Jun 2018 · 2 mos · Düsseldorf Area, Germany

  • Worked with Vision Group to design an object detection algorithm and the associated SW modules for its deployment on a specialized embedded hardware enabling real-time operation.
  • Internship included the following tasks:
  • Review of existing object detection algorithm.
  • Design and optimization of the existing architectures for optimum use of hardware accelerators.
  • Development of object detection SW modules for the post processing of features in the processing engines.
Computer VisionMachine LearningEmbedded Systems

Steel strips wheels limited

Management Trainee

Jan 2016Jun 2016 · 5 mos · Jamshedpur , India

  • Plan and organize the maintenance team.
  • Troubleshooting of Hydraulic and Pneumatic equipment (Hydraulic press, Mechanical Press, Shot blasters, Flow formers, etc.) and, to direct the respective shift or general team of a particular line to its respective machinery, equipment, electrical and mechanical systems.
  • Preparation of reports and statistics related to the critical machines or bottleneck.
AutomationLeadershipProject Planning

Career break

Personal goal pursuit

May 2015Dec 2015 · 7 mos · Raiganj, West Bengal, India

  • AI/ML, C++, Python, Java

Ecobotiks

Co-Founder & CTO

Mar 2014Apr 2015 · 1 yr 1 mo · Jamshedpur

  • Development of a low-speed electric passenger vehicle.
MechatronicsDesign for ManufacturingComputer Simulations3D Design

Team daksh : baja racing

Student Engineer

Nov 2011Feb 2014 · 2 yrs 3 mos · Jamshedpur, Jharkhand, India · On-site

  • Built an ATV at the university workshop and participated in two racing events.

Education

Universität Siegen

Master’s Degree — Mechatronics

Oct 2016Jan 2019

National Institute of Technology Jamshedpur

Bachelor’s Degree — Mechanical Engineering

Jan 2011Jan 2015

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