Front End Machine Learning

Suman Mondal

Morgantown, WV-***** +1-571-***-**** linkedin.com/in/sumanmondal11

*******@**.***

EDUCATION

Virginia Polytechnic Institute and State University Blacksburg, VA, USA Master of Engineering in Computer Science

GPA: 3.83/4.00

Coursework: Software Engineering, Data Analytics, Web Development, Cyber Security

Vellore Institute of Technology Vellore, TN, India Bachelor’s in technology in Computer Science and Engineering

GPA: 8.50/10.0

Coursework: Software Engineering, Data Analytics, Machine Learning, Cyber Security, Data Structures Algorithm, Programming, Image Processing, Operating System, Networks

SKILLS

Software Development: Object Oriented Programming and Design, Design Pattern, Scrum, Agile, GIT, Linux, AWS, JPA, JTA, Java Webservice, AWS stack, Salesforce Lightning, Heroku Deployment, CI/CD pipeline, Salesforce.com, Postman.

Programming Languages: Java, C/C++, C#, Kubernetes, Python, PHP, Angular, jQuery, (Vue, React, Node, Express), JavaScript, HTML/HTML5, CSS, Spring Boot, Apex, Visual Force,

Data Analytics: Machine Learning and Algorithms, R, MySQL, Simu-Link, MATLAB, SQL, MongoDB, SOQL, Docker.

WORK EXPERIENCE

Kanchans Choice (Startup) Leesburg, VA

Full Stack Developer

Used agile methodologies to develop website for client based on their requirement.

Used Figma and Adobe Photoshop to design the website templates for the cross platform and cross devices.

Built a fully functional e-commerce website and inventory management system following the MVC architecture, using REACT and Spring Boot for the front-end and Node.js with Express.js for the back end.

Developed and implemented RESTful APIs to perform CRUD operations on a MongoDB database for data storage.

Designed and developed a robust database schema that seamlessly integrated with the website for efficiently manage data.

Conducted thorough unit testing of the RESTful API endpoints to ensure high code quality and reliability using POSTMAN.

Utilized Amazon Web Services (AWS) to store photos for the website in an S3 bucket, allowing for efficient and scalable storage and the retrieval of images.

Used Google Analytics to analyze the sales data and make profitable decisions in future and inventory management.

Experience using UML, DFD, or ERD to create models for software design and development.

Successfully deployed using the Heroku platform and implemented a CI/CD pipeline deployment, which integrated with Git, ensuring seamless and efficient delivery of updates and new features from the code repository to the end-users.

Cubic GATR Corporation Ashburn, VA, USA

Computer/Software Engineer Intern

Worked for the Advanced Research and Development Team to design and implement custom Kalman Filters in C/C++ and evaluated measurement noise using Wavelet Transformation.

Developed and analyzed various ML approaches in Python to remove noise from sensor data.

Used different types of APIs and libraries to implement the ML Approaches in Python and later in C.

Successfully reduced noise by 85% and recreated missing data with 97% accuracy by integrating custom algorithms with the Kalman Filter being the most crucial part of the project in a Linux based system.

Built an embedded computer software program using the custom Kalman Filter to denoise incoming sensor data in an x86-based Linux system in real time.

Ported the software to an arm-based system, enabling real-time processing of incoming sensor data at 110,000 samples/second.

F1Soft International Pvt. Ltd Kathmandu, Nepal

Software Developer

Designed and optimized the database schema, creating tables in MySQL and establishing relationships between them to ensure efficient data management.

Utilized Vue.js to develop the front-end of the website, resulting in an intuitive and visually appealing user interface.

Implemented RESTful APIs for the backend using .NET, enabling secure communication between the front-end and back-end components.

Parsed third party API’s data to system readable file and developed new RESTful APIs for CRUD operations.

Implemented JWT verification to protect routes and sent authorization tokens in HTTP request headers for security.

Followed the software development life cycle and agile methodology, ensuring that the development process was structured.

Developed and delivered solutions on the Salesforce platform using technologies such as Apex, Flows, Process Builder, Visualforce, and/or Flex pages for large, complex projects.

Provided third-level support for applications in the Production environment, promptly resolving issues to ensure smooth system functionality.

PERSONAL PROJECTS

Impact of Urban Road Features on the Severity of Accidents in New York City

Analyzed data on traffic accidents in NYC to identify factors associated with the severity of road accidents.

Created the data from scratch using google street view maps for analysis and presenting all types of spatial or geographic data.

Implemented 3 different machine learning algorithms in R, python and evaluated their performance on the dataset.

Conducted data analysis to identify key factors that impact the severity of road accidents, including urban, road design and traffic conditions.

Achieved an accuracy of 78% using Logistic Regression Model. Urban features such as sidewalks, cycle lanes, and one-way roads were associated with a decrease in the severity of accidents.

IoT-based GPS Tracking System

After identifying the problem of travelling in our university of not being able to track University shuttles.

Consulted and fixed this problem by building real a tracking system by integrating our Hardware and Software knowledge.

Created the most cost-effective tracking device using Raspberry Pi and GPS sensor. Developed an application in Android Studio using Google Map API in supporting our device for a real-time location using the Firebase database.

Successfully implemented the product in shuttles and developed an application which shows the real-time location of the shuttles from the Firebase where the data is being updated by the device created.

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