Sarvesh Devi
Sarvesh Devi is Founder & CEO of EDGENeural. He is technologist, developer, fast learner and good leader for over 17 years and spent most of his career time in USA and specifically in Silicon Valley and has excellence & proven track record in building Technology Products with speciality in AI, Computer Vision, Autonomous Car, EDGE AI and building various artificial intelligence products.
- Role
AI Consultant
- Years of Experience
13.75 years
Skillsets
- Controls
- vision-language models
- SLAM
- Perception
- MLOps
- Microservices
- macOS
- High-Performance Computing
- GNN
- Generative AI
- edge AI
- Document AI
- Docker
- DNN
- Python
- Cnn
- autonomous systems
- Apple silicon
- ROS
- NLP
- Linux
- Kubernetes
- GCP
- Deep Learning
- Computer Vision
- C++
- Azure
- AWS
Professional Summary
13.75Years
- Jul, 2023 - Present2 yr 10 months
Vice President of Artificial Intelligence
Accurate Industrial Controls Pvt. Ltd. - Mar, 2023 - Sep, 2023 6 months
Director of Engineering
Visulon Inc. - Jan, 2023 - Jul, 2023 6 months
AI Consultant
Reflexion AI - Sep, 2017 - Dec, 20192 yr 3 months
Engineering Manager - Autonomous Car Lab
Telenav - Jan, 2020 - Jul, 20233 yr 6 months
Founder & CTO
EDGENeural.ai - Nov, 2022 - Sep, 2023 10 months
AI Consultant
Sequus AI - Mar, 2014 - Aug, 20173 yr 5 months
Staff Software Engineer
Telenav
Work History
13.75Years
Vice President of Artificial Intelligence
Accurate Industrial Controls Pvt. Ltd.Jul, 2023 - Present2 yr 10 months
Director of Engineering
Visulon Inc.Mar, 2023 - Sep, 2023 6 months
Helping Visulon to build their AI strategy to create & optimize AI/ML & Generative AI models within Fashion Industry space. Helping Visulon to build their scalable backend ecosystem to move from Legacy Monolithic architecture to Microservices based architecture with Docker Container & Kubernetes.
AI Consultant
Reflexion AIJan, 2023 - Jul, 2023 6 months
AI Consultant
Sequus AINov, 2022 - Sep, 2023 10 months
Helping Sequus to build their AI strategy to build AI models using CNN/DNN/GNN within Civil Engineering Space. Build, Manage & Guide Team of Computer Vision Engineers & Interns to deliver the fine tune AI centric product for the companys vision.
Founder & CTO
EDGENeural.aiJan, 2020 - Jul, 20233 yr 6 months
Engineering Manager - Autonomous Car Lab
TelenavSep, 2017 - Dec, 20192 yr 3 months
Directed R&D team for self-driving car Motion Planning and Control Module. Integrated over 30 AI models into autonomous vehicles. Managed perception algorithms (Sensor Fusion, Lidar/Radar processing) on Nvidia Drive PX2 and led the summer internship program.
Staff Software Engineer
TelenavMar, 2014 - Aug, 20173 yr 5 months
Led Perception module development for autonomous vehicles, processing data from Lidar, Radar, and IMU for car control systems using Linux C++ and ROS.
Major Projects
6Projects
EDGENeural - EDGE AI Platform
Dec, 2019 - Present6 yr 5 months
Created a low-code platform named ENAP Studio to build end-to-end workflow for computer vision models, state-of-the-art Object Detection, and classification models. Designed AI workload and full-stack scalable architecture using Docker containers and AWS ecosystem. Delivered Document AI Product, built face-recognition attendance systems, and optimized AI models for various platforms. Filed patents and raised a successful seed round.
Reflexion AI
Dec, 2022 - Present3 yr 5 months
Helping Reflexion build and optimize their AI models within the Media Industry space. Building and managing a team of Computer Vision Engineers to deliver fine-tuned AI models supporting the company's vision.
Sequus AI
Nov, 2022 - Present3 yr 6 months
Consulting to build AI models using CNN/DNN/GNN for Civil Engineering—guiding a team of Computer Vision Engineers to fine-tune AI-centric products for the company.
Visulon AI Strategy
Mar, 2023 - Present3 yr 2 months
Helping Visulon build AI strategies and scalable backend architectures, transitioning from Legacy Monolithic to Microservices with Docker Containers and Kubernetes.
Telenav's Self-Parking Feature
Sep, 2017 - Dec, 20192 yr 3 months
Worked on different sensors like Lidar, Radar, Camera, and implemented various perception algorithms including Sensor Fusion, Obstacle Tracking, and LIDAR data processing. Ported multiple AI models onto autonomous car hardware. Filed 6+ patents in the domain and contributed to the Motion Planning and Control module for self-driving cars.
drivebuddyAI
Jan, 2019 - Oct, 2019 9 months
Led end-to-end technology of drivebuddy's retro-fit ADAS device software development including embedded and full-stack side. Designed and implemented 1M parameter object detection model to be fitted in the custom Raspberry Pi and Intel Movidius Stick hardware. Architected and implemented whole embedded code to serve camera, AI inference, and cloud communication.
Education
Stanford Studies
Stanford University (2015)M.S., Computer Engineering
Syracuse University (2008)Bachelor of Engineering (Electronics & Telecommunications)
Pune University (2005)