Welcome To JSoft Labs
We are
We Create Innovative & Powerful Software For Enterprise and SMBs
About
Our Experience
- Developed and managed the backend of an e-commerce platform using Flask, MongoDB, and AWS.
- Worked on three web applications targeting customers, selling vendors, and admin users; built 50+ RESTful APIs with functionalities such as login/sign up, view a product, add a product to cart, checkout the order, etc.
- Improved the response time by 20% by refactoring the codebase and changing database design and queries.
- Added a bulk upload feature which reduced the manual work of adding products into a database.
- Tools: Python, Flask, MongoDB
- Customized a tree-based optimization algorithm that separates drugs into distinct groups to maximize the concurrent execution of drug dispenser robots; improved an optimization algorithm that reduced the cycle-time of the automation process by 25%.
- Devised a customized recursion algorithm to extend the functionality of the current environment to a multi-robot and multi-system environment
- Built a modular video analytics app using Flask, OpenCV that tracks the location of each human in a multi-camera environment; utilized perspective transformation, object detection, and object tracking to find the location of a human.
- Increased the speed of the video analytics app by 20% by using a customized YOLOv3 algorithm to perform object detection and DeepSORT algorithm for multi-object tracking.
- Tools: Python, Flask, OpenCV, Keras, Tensorflow, PyTorch
- Programmed a cloud-based web app using Flask and JavaScript aimed at storing, visualizing, and tracking temperature and humidity of each drug container to estimate the degradation of the drug.
- Created an alert system to send notifications and emails when the parameters exceed the threshold.
- Tools: Python, Flask, JavaScript
- Designed a library management system for a local library, where we undertook activities like requirement elicitation, preparing Data Flow and Entity-Relationship diagrams.
- Delivered a solution for a POC involving Automatic Financial Document Classifier using Natural Language Processing and Support Vector Machines with 96% accuracy on the company’s data.
- Tools: Python, Scikit-learn, NLTK
Working Hours
Completed Projects
Happy Clients
Awards Received
Our Projects
Decentralized staking with stETH
An image generator based on the concept of adversarial networks (GANs)
Our Skills
Languages and Databases
Python
HTML5
CSS3
Solidity
PostgreSQL
Web3
Libraries
Ethers.JS
NumPy
Pandas
OpenCV
scikit-learn
matplotlib
Frameworks
Django
Flask
Bootstrap
Keras
TensorFlow
PyTorch
Other
Git
Amazon
Heroku
Meditab
Mooc
MySQL
Our Clients
Teams
Daniel Feit
Chief Technology Officer
Blockchain & Crypto Enthusiast
Feb 2021 - Present
John Stanley.jpg
Chief Technology Advisor
Engineering Manager
Aug 2021 - Present
Oleksandr Shkabura
Chief Product Officer
Talent Acquisition Specialist
June 2022 - Present
Yelyzaveta Andr..
Recruiting Manager
Talent Acquisition Specialist
March 2020 Present
Janice Bennett
Senior Recruiter
Talent Acquisition Specialist
May 2022 - Present
Dominic Denham
Lead Technical Recruiter
Web3 Enthusiast
June 2024 - Present

