Shashwat Vikram Singh

Full-Stack AI Developer | Machine Learning Engineer
Indore, IN.

About

Highly analytical and results-driven B.Tech Computer Science student with a strong foundation in full-stack development, machine learning, and data science. Proven ability to develop and deploy AI-driven solutions, optimize system performance, and manage complex data pipelines, as demonstrated through projects like the Epigenetic Aging Reversal Predictor and Forest Fire Prediction System. Eager to leverage expertise in Python, React.js, and cloud platforms to innovate and contribute to cutting-edge technology initiatives.

Education

VIT Bhopal University
Bhopal, Madhya Pradesh, India

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B.Tech

Computer Science

Chameli Devi Public School
Indore, Madhya Pradesh, India

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High School Diploma

CBSE Class XII

Chameli Devi Public School
Indore, Madhya Pradesh, India

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High School Certificate

CBSE Class X

Certificates

Associate Software Engineer (A.S.E.)

Issued By

Walmart Global Tech

SEO Fundamentals Course

Issued By

Semrush

The Bits and Bytes of Computer Networking

Issued By

Google (Coursera)

Skills

Programming Languages

JavaScript (ES6+), Python (NumPy, Pandas), Java (Spring), HTML5, CSS3 (Sass/LESS).

Frontend Development

React.js (Hooks, Context API), Redux, Bootstrap 5, Responsive Web Design, Material UI, Leaflet.js.

Backend Development

Node.js (Express), RESTful API Design, MongoDB, PostgreSQL, Flask, Redis.

Development Tools

Git, GitHub, VS Code, Figma (UI Prototyping), Webpack, Postman, AWS EC2, AWS S3, Dask, Cron Jobs.

SEO & Analytics

Google Analytics (GA4), SEMrush, Ahrefs, Search Console.

Web Technologies

Cross-Browser Compatibility, Web Performance Optimization, Accessibility (WCAG), GeoJSON, OpenWeatherMap API.

Methodologies

Agile Development, CI/CD, Test-Driven Development, 5-fold Cross-Validation, Feature Engineering.

Machine Learning & Data Science

Python (Scikit-learn, Pandas), Random Forest Classifier, Biomarker Datasets, Methylation Heatmaps, Data Preprocessing, Parallel Processing, NOAA/MODIS Satellite Data.

Projects

BlazeFix Forest Fire Prediction System

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Summary

Engineered a comprehensive system for real-time forest fire prediction and risk visualization, leveraging satellite data and machine learning.

Genexis Epigenetic Aging Reversal Predictor

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Summary

Developed a full-stack AI platform for epigenetic aging prediction, integrating machine learning models with interactive data visualization and a scalable backend.