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My name is Vivek P. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Artificial Intelligence, Computer Vision, Python, Image Processing, etc.. I hold a degree in Master of Science (MS), Bachelor of Technology (BTech), Bachelor's degree. Some of the notable projects I’ve worked on include: Project Planning Genie, Heart Attack Predictor End.2-End ML, Yoga Pose Estimation with YOLO, 🧾 Invoice Data Extraction Using OCR, chest-x-ray-diagnosis using DenseNet, etc.. I am based in Linz, Austria. I've successfully completed 12 projects while developing at Softaims.
I am a business-driven professional; my technical decisions are consistently guided by the principle of maximizing business value and achieving measurable ROI for the client. I view technical expertise as a tool for creating competitive advantages and solving commercial problems, not just as a technical exercise.
I actively participate in defining key performance indicators (KPIs) and ensuring that the features I build directly contribute to improving those metrics. My commitment to Softaims is to deliver solutions that are not only technically excellent but also strategically impactful.
I maintain a strong focus on the end-goal: delivering a product that solves a genuine market need. I am committed to a development cycle that is fast, focused, and aligned with the ultimate success of the client's business.
Main technologies
AI, Machine Learning and Computer Vision Platforms
2 years
Machine Learning
1 Year
Artificial Intelligence
1 Year
Computer Vision
1 Year
Additional skills
- Machine Learning
- Artificial Intelligence
- Computer Vision
- Python
- Image Processing
- YOLO
- OpenCV
- Python Script
- Python Scikit-Learn
- PyTorch
- TensorFlow
- Deep Learning
- Object Detection & Tracking
- Image Classification
- Web Scraping
Direct hire
Potentially possible
Previous Company
DeepSpace
Experience Highlights
Project Planning Genie
This project planning agent helps developers and teams break down complex project ideas into manageable, step-by-step implementation plans. By leveraging advanced AI agents and workflow orchestration, it generates detailed project roadmap that can be directly used as GitHub issues, project boards, or documentation.
Heart Attack Predictor End.2-End ML
The heart attack datasets were collected at Zheen hospital in Erbil, Iraq, from January 2019 to May 2019. The attributes of this dataset are: age, gender, heart rate, systolic blood pressure, diastolic blood pressure, blood sugar, ck-mb and troponin with negative or positive output. According to the provided information, the medical dataset classifies either heart attack or none. The gender column in the data is normalized: the male is set to 1 and the female to 0. The glucose column is set to 1 if it is > 120; otherwise, 0. As for the output, positive is set to 1 and negative to 0.
Yoga Pose Estimation with YOLO
This project focuses on training and evaluating a YOLO (You Only Look Once) model for yoga pose estimation. It utilizes the Ultralytics framework to streamline the training and validation process.
🧾 Invoice Data Extraction Using OCR
This project automates the extraction of key client information (such as name, address, and tax ID) from invoice images using Optical Character Recognition (OCR). It's designed to efficiently process a batch of invoice images, intelligently crop relevant sections, extract the structured data, and then compile it into a clean Excel spreadsheet for easy analysis.
chest-x-ray-diagnosis using DenseNet
ChestX-ray8 dataset which contains 108,948 frontal-view X-ray images of 32,717 unique patients. Each image in the data set contains multiple text-mined labels identifying 14 different pathological conditions. These in turn can be used by physicians to diagnose 8 different diseases. We will use this data to develop a single model that will provide binary classification predictions for each of the 14 labeled pathologies. In other words it will predict 'positive' or 'negative' for each of the pathologies. Sample datasets is downloaded from kaggle
Education
FH Joanneum
Master of Science (MS) in
2016-01-01-2019-01-01
Nirma University, Ahmedabad, Gujarat, India
Bachelor of Technology (BTech) in
2012-01-01-2015-01-01
A.V.Parekh Technical Institute,Rajkot 602
Bachelor's degree in
2007-01-01-2011-01-01
Languages
- German
- English
- Hindi
Github