Riyaansh Mittal

Frontend Engineer

Patiala, Punjab, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Achieved record-breaking accuracy in ML applications.
Contributed innovative solutions for machine learning efficiency.
Engaged in web development with user-friendly interfaces.

Stackforce AI infers this person is a Full-Stack Developer with a focus on Machine Learning in the Healthcare sector.

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Skills

Core Skills

Front-end DevelopmentFull-stack DevelopmentMachine Learning

Other Skills

API DevelopmentBlenderC++Cascading Style Sheets (CSS)CommunicationCookieDIPYData AnalysisData EntryData StructuresEngineeringFeature SelectionFinancial AnalysisGenerative AIHTML

About

• Self-driven and goal-oriented with a flexible and optimistic approach. • Demonstrates a high level of adaptability and quick learning in dynamic environments. • Enthusiastic and dedicated student worker committed to expanding skills through real-world experiences. • Contributed innovative solutions to enhance accuracy and efficiency in machine learning applications. • Communicated a research paper in the Journal: Psychiatry Research: Neuroimaging. • Achieved record-breaking accuracy in ML as showcased in research paper. • Actively engaged in web development, combining creativity with technical skills to build user-friendly interfaces. • Successfully executed and completed several web development projects, showcasing a diverse skill set.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Verdis

Product Developer

Jan 2025 – May 2025 · 4 mos · Gurugram, Haryana, India · On-site

ReduxFront-End DevelopmentReact.jsTailwind CSSWeb PagesTypeScript

Coding merijan

Frontend Developer

Sep 2024 – Present · 1 yr 9 mos · Remote · Remote

Next.jsGenerative AIWeb PagesFront-End Development

Sdna tech

Software Developer

Jan 2024 – Aug 2024 · 7 mos · Mohali district, India · On-site

Cascading Style Sheets (CSS)HTMLPagesReduxJavaScriptModel-View-Controller (MVC)+13

Thapar institute of engineering & technology

Scientific Researcher

Jan 2023 – May 2024 · 1 yr 4 mos · Patiala, Punjab, India · Hybrid

Title: Resolving Autism Spectrum Disorder (ASD) through Brain Topologies using fMRI Dataset with Multi-Layer Perceptron (MLP)
In this paper, we present a novel approach for diagnosing Autism Spectrum Disorder (ASD) by analyzing brain topologies using fMRI data and employing a Multi-Layer Perceptron (MLP) model. Our method demonstrates superior accuracy and recall rates compared to traditional classification models, highlighting significant features that differentiate ASD from typically developing individuals. The MLP classifier achieved an impressive accuracy of 83.57% and a recall of 82.86%, offering valuable insights into neural connectivity patterns characteristic of ASD.
Read more about the study here: https://authors.elsevier.com/c/1jYMF3IRiH3cWn

Python (Programming Language)Machine LearningResearch SkillsFeature Selection