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Ridhiv Sharma

Ridhiv Sharma

Remote 0+ yrs exp 71 · Very Good

About

I'm a B.Tech student in Instrumentation and Control Engineering at NSUT (graduating 2027), with a strong self-taught foundation in full-stack web development using Node.js, Express, MongoDB, TypeScript, and React. I enjoy building real projects rather than just following tutorials — for example, I built Tradex, a trading alert automation tool with Google OAuth2 login, Gmail API integration, and WhatsApp notifications via Twilio, and DevLinks, a developer bookmark manager with JWT authentication and automatic metadata scraping. More recently, I built an AI-powered photo management platform using Node.js, TypeScript, BullMQ, Redis, and Google Gemini for features like duplicate detection, facial recognition, and natural language search, deployed with Docker. Alongside this, I've also worked on a research-based solar inverter dashboard with ML-based fault detection during an R&D internship. I'm comfortable with REST API design, authentication systems, and database fundamentals, and I actively practice data structures and algorithms in C++.

Skills & Expertise (18)

Python Intermediate
6.0/10
0.25
Years Exp
Framer Motion Intermediate
6.0/10
0.25
Years Exp
GSAP Intermediate
6.0/10
0.25
Years Exp
Typescript Intermediate
6.0/10
0.25
Years Exp
ReactJS Intermediate
6.0/10
0.25
Years Exp
JavaScript Intermediate
6.0/10
0.25
Years Exp
MongoDb Intermediate
5.5/10
0.25
Years Exp
JWT Authentication Intermediate
5.5/10
0.25
Years Exp
REST APIs Intermediate
5.5/10
0.25
Years Exp
Express Intermediate
5.5/10
0.25
Years Exp
Node Intermediate
5.5/10
0.25
Years Exp
CSS Intermediate
5.0/10
0.25
Years Exp
HTML Intermediate
5.0/10
0.25
Years Exp
C++ Beginner
3.5/10
0.25
Years Exp
Java Beginner
3.5/10
0.25
Years Exp
Tailwind React Backend API Development

Work Experience

Research and Development Intern

NSUT

Jan 2025 - Apr 2025

Built a responsive real-time dashboard using React, TypeScript, Tailwind CSS, GSAP, and Framer Motion to visualize sensor data from 1000+ solar inverters and 500K+ readings. Developed a supervised learning model in Python to forecast temperature and humidity, displaying trends via scatter plots and time series graphs. Enabled 30% faster fault triage and enhanced early fault detection through integrated predictive insights and interactive data visualization.

Education

B.Tech (Instrumentation and Control) - Netaji Subhas University of Technology

2023 - 2027 · India

CBSE (Class XII) - Andhra Education Society Sr. Sec. School

2021 - 2022 · India

CBSE (Class X) - Andhra Education Society Sr. Sec. School

2019 - 2020 · India

Certifications

No certifications added yet

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Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 0/10
✍️ Bio 10/10
🛠️ Skills 20/20
🎓 Education 10/10
⏱️ Experience 6/15
💰 Rate 0/5
🏆 Certs 0/5
Verified 5/5
Total Score 71/100

Profile Overview

Member sinceJun 2026
Work ModeRemote

Availability Details

Visa Status

Need Sponsorship

Relocation

Depends on Offer