I am a Full Stack Developer. I have worked across multiple Front End, Back End, Database and Cloud technologies. I am proficient at building cross platform applications that have a positive impact on the organization and its customers.
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Programming Languages: JavaScript (ES6+), Java, C#, Python, HTML, CSS
Front End Web Technologies: HTML5, CSS3, jQuery, AJAX, React, React Native, Bootstrap
Back End Web Technologies: ASP.NET MVC, ASP.NET Core, Django(Python), Flask(Python), Node.js(Express)
Database Technologies/ORM: MS SQL Server, EF Core, MongoDB, Redis, PostgreSQL, MySQL, LINQ
Tools: Eclipse, VS Code, Microsoft Office, JIRA, SVN, Git, pgAdmin, Postman, Android Studio,ChatGPT
Operating System: Windows, Linux(Ubuntu)
August 2019 - May 2021
Stevens Institute of Technology, NJ, USA
Courses- Computer Organization and Programming
- Data Structures and Algorithms
- Knowledge Discovery and Data Mining
- Cloud Computing
- Web Programming 1 & 2
- Agile methods for Software Development
- Human-Computer Interaction
- Data Warehousing/ Business Intelligence
- Financial Lab: Database Design
- Introduction to Bloomberg & Thomson Reuters
Feb 2017 - Aug 2017
Centre for Development of Advanced Computing(Mumbai)
Courses- C++
- Data Structures
- Spring MVC
- .NET Framework
August 2012 - May 2016
University of Mumbai, Mumbai, India
Courses- C Programming
- Java
- Data Structures and Algorithms
- Database Management
- Computer Networks
- Operating Systems
Nov 2021 - Jan 2024
New York, New York
- Crafted personalized survey logic increasing user engagement by 20% thus improving revenue per user.
- Developed an ad platform using .NET Core and React seamlessly integrating login, registration, survey, and ad recommendation components resulting in better clickthrough rate.
- Conceptualized, developed, and maintained a high-performance URL shortening and tracking service to monitor post install activities of 1 million daily visitors.
- Collaborated with multiple teams to gather user requirements, ensuring the platform met user expectations.
- Integrated Jornaya and Trustedform to capture user consent in video format, this proactive measure not only bolsters TCPA compliance but also protects the company against potential liability.
- Engineered a groundbreaking data monetization strategy by seamlessly integrating REST API endpoints of external vendors resulting in a 15% increase in revenue through sale of consumer data.
Tech Stack : ASP.NET Core, MySQL, LINQ, React, JavaScript, jQuery
Jul 2021 - Nov 2021
Kingston, New Jersey
- Employed EF Core Code First with a repository pattern backend resulting in 30% reduction of development time.
- Conceptualized and implemented a highly responsive Food Frequency Questionnaire application using React Native resulting in increased engagement and completion rates.
- Integrated AWS Amplify and Cognito to simplify user authentication and authorization.
- Architected and designed a scalable database schema to accommodate future enhancements and ensure application's adaptability to evolving dietary data requirements.
Tech Stack : React Native, ASP.NET Core, SQL Server, LINQ
Feb 2021 - May 2021
North Brunswick, New Jersey
- Built an analytical dashboard to optimize patient schedules thereby reducing the number of hospital staff working overtime by 30%
- Achieved cost savings of 17% by migrating from EC2 to AWS Lambda
Tech Stack : Django(Python), PostgreSQL, JavaScript, HYML, CSS
June 2020 - August 2020
New York, New York
- Impacted working of recruitment team by helping them find most relevant candidates thereby increasing performance of the team by approximately 10%
- Trained and tested keras resume parser to automate task of parsing resumes
- Led development of a scoring algorithm that utilizes parsed data to determine most relevant candidates
Tech Stack : Flask(Python), HTML5, Bootstrap(CSS3), JavaScript, MongoDB
October 2017 - February 2019
Pune, India
- Developed multiple features and fixed customer issues for MobileXpense. MobileXpense helps corporations manage expenses and allowances of employees traveling for official work
- Migrated application from legacy VB.NET and ASP.NET Web Forms to ASP.NET MVC 5 thereby reducing website loading time by 50%
- Enhanced UI/UX using bootstrap and implemented front end validation using JavaScript
- Performed peer code review, unit testing, integration testing, and deployed application on IIS server
- Collaborated with team members across different locations to drive product roadmap and deliver new features
Tech Stack : ASP.NET MVC 5, Razor, VB.NET, ASP.NET Web Forms, HTML5, Bootstrap(CSS3), JavaScript, jQuery-AJAX, MS SQL Server, IIS Server
November 2020 - December 2020
- Built a full-stack shopping application and utilized elastic search to search products
- Implemented Firebase authentication to allow users to sign up and login using google account
- Developed a shopping cart using react-redux which allowed users to add products to cart , select quantity for each product and calculate order total
- Reduced loading times of web pages by 30% by caching html pages using Redis
Tech Stack : Node.js, Express, React, MongoDB, HTML5, Bootstrap(CSS3), JSX, Redis, Elastic Search, Redux
November 2020 - December 2020
- Designed a web healthcare system to help citizens book and manage doctor’s appointment
- Implemented search suggest drop down functionality to find doctor, hospital based on search term
Tech Stack : Node.js, Express, Express-Handlebars, HTML5, Bootstrap(CSS3), JavaScript, MongoDB
April 2020 - May 2020
- Developed a location-based full stack web application where citizens can post complaints by dropping a pin on google maps
- Built a dashboard for admin to view all issues and mark it as resolved when fixed
Tech Stack : Node.js, Express, Express-Handlebars, HTML5, Bootstrap(CSS3), MongoDB, JavaScript, jQuery, AJAX
April 2020 - May 2020
- A command-line program to discover errors and anomalies in GEDCOM genealogy files.
Programming Languages : Python
November 2019 - December 2019
- A console application to identify fraudulent transaction from a dataset containing fraudulent as well as genuine credit card transactions
- Implemented K-Nearest Neighbor, Naïve Bayes, Random Forest and C5.0 achieved 99% accuracy in predicting fraudulent transaction
Programming Languages : R
Address
Harrison, NJ
Phone
(+1) 352-284-5342
samirshah120@gmail.com