Sidarth R. looks like a good fit?

We can organize an interview with Aldin or any of our 25,000 available candidates within 48 hours. How would you like to proceed?

Schedule Interview Now

Sidarth R. Python, React and Machine Learning Platforms

My name is Sidarth R. and I have over 6 years of experience in the tech industry. I specialize in the following technologies: Python, JavaScript, React, Machine Learning, Java, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I’ve worked on include: Art Classification Tool, Real Estate Price Prediction Model, Current Services Website. I am based in New York City, United States. I've successfully completed 3 projects while developing at Softaims.

Information integrity and application security are my highest priorities in development. I implement robust validation, encryption, and authorization mechanisms to protect sensitive data and ensure compliance. I am experienced in identifying and mitigating common security vulnerabilities in both new and existing applications.

My work methodology involves rigorous testing—at the unit, integration, and security levels—to guarantee the stability and trustworthiness of the solutions I build. At Softaims, this dedication to security forms the basis for client trust and platform reliability.

I consistently monitor and improve system performance, utilizing metrics to drive optimization efforts. I’m motivated by the challenge of creating ultra-reliable systems that safeguard client assets and user data.

Main technologies

  • Python, React and Machine Learning Platforms

    6 years

  • Python

    5 Years

  • JavaScript

    3 Years

  • React

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

Amazon

Ready to get matched with vetted developers fast?

Let's get started today!

Hire Remote Developer

Experience Highlights

Art Classification Tool

Created an art classification model by leveraging Convolutional Neural Networks to match paintings with the associated painting genre. Used web-scraped data, ResNet-50 (ImageNet), and additional Dense & Convolutional Layers to achieve 99.64% and 58.14% training and testing accuracy.

Real Estate Price Prediction Model

Designed a Real Estate price prediction model that used a government dataset and Keras Linear Regression models to predict the price of homes. Achieved 86.19% and 77.53% for testing and training accuracy and conducted correlation and threshold analysis.

Current Services Website

Led a two-person team to build Current Services’ portfolio website from the ground up. Embedded Strapi to allow full customization for the founders.

Education

  • Brown University

    Bachelor of Science (BS) in Computer science

    2019-01-01-2023-01-01

Languages

  • English

Personal Accounts