Shivansh Dubey

AI Researcher

Noida, Uttar Pradesh, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Designed ML models achieving over 80% accuracy.
Optimized backend APIs, improving performance by 40%.
Authored a research paper presented at an international conference.

Stackforce AI infers this person is a Machine Learning and Full-stack Development expert in the Healthcare and SaaS industries.

Contact

Skills

Core Skills

Full-stack DevelopmentApi DevelopmentMachine Learning

Other Skills

.NET FrameworkAPI cachingAWSAdobe Creative SuiteAdobe PhotoshopApplication Programming Interfaces (API)Applied MathematicsArtificial Intelligence (AI)Artificial Neural NetworksBusiness EnglishC (Programming Language)C#Cascading Style Sheets (CSS)Conversational AIData Analysis

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Chetu, inc.

Jounier Data Scientist

Sep 2025 – Present · 7 mos · On-site

I’m thrilled to begin this new journey with Chetu Inc. as a Quality Assurance Trainee. Looking forward to learning, growing, and contributing to innovative projects while enhancing my skills in software testing, automation, and quality processes.
Grateful for this opportunity and excited for what lies ahead!🚀

Icmldssia-2025 ai research labs

Research Assistant

Mar 2025 – Apr 2025 · 1 mo · Jhansi, Uttar Pradesh, India · On-site

Designed and implemented multiple ML-based prediction models (Diabetes, Breast Cancer, Bone Fracture) using datasets from Kaggle and research sources.
Optimized models for accuracy (up to 80%+) using SVM, KNN, Random Forest, and hyperparameter tuning.
Deployed ML models as REST APIs using FastAPI, containerized with Docker, and hosted on AWS and Render for public use.
Developed web and Android frontends using the MERN stack for real-time data input and prediction visualization.
Created an iOS SwiftUI app with glassmorphism design, API integration, and animated medical dashboard for predictions.
Authored and presented a research paper at an international conference, integrating Rough Set Theory with ML for enhanced prediction accuracy.

Machine LearningSVMKNNRandom ForestFastAPIDocker+4

Signum labs

Full-stack Developer

Jan 2025 – Jul 2025 · 6 mos · Jhansi, Uttar Pradesh, India

Designed and optimized backend APIs, reducing average load time by 40%, significantly improving application performance.
Collaborated in developing scalable, secure, and maintainable RESTful services for production-level applications.
Integrated MongoDB, Express.js, React, and Node.js (MERN) stack solutions for end-to-end product features.
Implemented API caching and query optimization techniques to enhance data retrieval efficiency.
Contributed to code reviews, ensuring best practices, clean architecture, and adherence to industry standards.
Developed reusable frontend components using React.js, improving development speed for future projects

Node.jsMongoDBExpress.jsReactRESTful servicesAPI caching+3