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Vijay Singh Purohit

AI Engineer | Computer Vision | R&D

Bengaluru

5+ years of work experience

SkyServe
Jan 20242 yrs 9 mosPresent

Bengaluru, Karnataka, India

Reduced software size by 95% Deploy privacy-preserving techniques Configure the execution pipeline to reduce Downlink time Perform ML model encryption and post-training model quantization Deploy solutions on Open Embedded Linux (Yocto project), Petalinux Optimization of utilities on edge computing devices (Nvidia Jetson, Xilinx VPK 120 & VCK 190, Unibap iX5) Responsible for the development of utilities and mission-critical software for orbit missions.
Inferigence Quotient
Jul 20221 yr 6 mosDec 2023

Bengaluru, Karnataka, India

Collaborated with 3+ cross-functional teams to develop innovative computer vision products. Build computer vision solutions that contribute to a 30-35% increase in operational efficiency. Improved model performance by 20% through exploration of new techniques and technologies. Deployed models achieving 95%+ accuracy while optimizing for speed and efficiency in production. Trained over 7+ machine learning models for drone-based visible and thermal imagery data analysis Implemented 3 ML techniques to enhance the solutions including object localization for drone imagery
Robro Systems
Nov 20219 mosJul 2022

Indore, Madhya Pradesh, India

Built reusable C++ and Python libraries using STL for efficient and robust code Built a high-speed inspection pipeline, scanning at the rate of 120 meters per minute Designed and deployed end-to-end systems on cloud services and embedded systems Developed CUDA, GPU, and OpenCV applications to accelerate image-processing tasks Implemented Neural Networks and Deep Learning to enhance computer vision applications Spearheaded Vision Inspection projects, enabling defect detection and Industry 4.0 solutions Deployed a machine vision pipeline in the textile industry, achieving a 70% reduction in waste Optimized deep learning models for object detection, classification, tracking, and counting tasks Collaborated with the CEO and founding team, contributing to strategic decision-making and production-ready solutions
Pipli
May 20217 mosNov 2021

Mumbai, Maharashtra, India

Work closely with the founding team to develop & test classification models Allocate resources on VM(s) and Deploy product(s) using GCP(Google Cloud Platform). Build invoice data extraction pipeline using segmentation and classification models for data extraction, and analyze the data to produce insights.
Self-Employed
Nov 20207 mosMay 2021

Indore, Madhya Pradesh, India

Applying Machine Learning algorithm to make predictions for better decisions in business, activity includes data cleaning, normalization and data modeling. As a Data Scientist I'm learning and applying my knowledge to forecast decisions with the help of Structured and unstructured data.
GitHub
@vijaypurohit322

Vijay’s AI Stack

antigravity
antigravity
claude code
claude code
claude
claude
cursor
cursor
gemini
gemini
hugging face
hugging face

Education

M.Tech, Data Science

School of Data Science & Forecasting, (DAVV), Indore

20202 yrs2022

Bachelor of Engineering - BE, Computer Science and Engineering

Mahakal Institute of Technology, Ujjain

20154 yrs2019

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Headline

AI Engineer | Computer Vision | R&D

About

AI Engineer with an entrepreneurial mindset, and experience working in 4 start-ups specializing in on-board Satellite Image Processing, Video Surveillance using Drones, Aerial and Ground Surveillance, Defect Detection, Vision Inspection, and Machine Vision. Skilled in C++, Python, Deep Learning, and Process Mining. Domain: Space (Satellite Image Processing) | FIBC | F&B | Pharma | Aerial Surveillance | Industrial Automation 4.0 Key Skills: - Ability to build and deliver, proof of concepts (POC), and demonstrations - Computer Vision and Image Processing - Image Segmentation and Classification - Transfer Learning and Deep Learning models - TensorFlow, PyTorch, and Keras for AI development - Model deployment on AWS for scalable solutions - Inference on Edge Devices for optimized performance - Cloud Computing (AWS, GCP, Azure) for scalable solutions - ArangoDB and other databases for data management - Node.js for API development - Machine Learning Algorithms, Neural Networks, and Image Processing - Kubernetes, MicroK8s, AWS, GCP experience

Location

Bengaluru

AI stack

antigravity

claude code

claude

cursor

gemini

hugging face

Work experience

Senior Software Engineer - Image Processing at SkyServe, Jan 2024 - Present · 2 yrs 9 mos, Bengaluru, Karnataka, India, Reduced software size by 95% Deploy privacy-preserving techniques Configure the execution pipeline to reduce Downlink time Perform ML model encryption and post-training model quantization Deploy solutions on Open Embedded Linux (Yocto project), Petalinux Optimization of utilities on edge computing devices (Nvidia Jetson, Xilinx VPK 120 & VCK 190, Unibap iX5) Responsible for the development of utilities and mission-critical software for orbit missions.

Computer Vision Engineer at Inferigence Quotient, Jul 2022 - Dec 2023 · 1 yr 6 mos, Bengaluru, Karnataka, India, Collaborated with 3+ cross-functional teams to develop innovative computer vision products. Build computer vision solutions that contribute to a 30-35% increase in operational efficiency. Improved model performance by 20% through exploration of new techniques and technologies. Deployed models achieving 95%+ accuracy while optimizing for speed and efficiency in production. Trained over 7+ machine learning models for drone-based visible and thermal imagery data analysis Implemented 3 ML techniques to enhance the solutions including object localization for drone imagery

AI Engineer at Robro Systems, Nov 2021 - Jul 2022 · 9 mos, Indore, Madhya Pradesh, India, Built reusable C++ and Python libraries using STL for efficient and robust code Built a high-speed inspection pipeline, scanning at the rate of 120 meters per minute Designed and deployed end-to-end systems on cloud services and embedded systems Developed CUDA, GPU, and OpenCV applications to accelerate image-processing tasks Implemented Neural Networks and Deep Learning to enhance computer vision applications Spearheaded Vision Inspection projects, enabling defect detection and Industry 4.0 solutions Deployed a machine vision pipeline in the textile industry, achieving a 70% reduction in waste Optimized deep learning models for object detection, classification, tracking, and counting tasks Collaborated with the CEO and founding team, contributing to strategic decision-making and production-ready solutions

Data Scientist at Pipli, May 2021 - Nov 2021 · 7 mos, Mumbai, Maharashtra, India, Work closely with the founding team to develop & test classification models Allocate resources on VM(s) and Deploy product(s) using GCP(Google Cloud Platform). Build invoice data extraction pipeline using segmentation and classification models for data extraction, and analyze the data to produce insights.

Trainee Data Scientist at Self-Employed, Nov 2020 - May 2021 · 7 mos, Indore, Madhya Pradesh, India, Applying Machine Learning algorithm to make predictions for better decisions in business, activity includes data cleaning, normalization and data modeling. As a Data Scientist I'm learning and applying my knowledge to forecast decisions with the help of Structured and unstructured data.

Education

M.Tech, Data Science, School of Data Science & Forecasting, (DAVV), Indore

Bachelor of Engineering - BE, Computer Science and Engineering, Mahakal Institute of Technology, Ujjain

Public links

github: https://github.com/vijaypurohit322