subhash PC

Frontend Developer

Kerala, India 1+ yrs exp 73 · Very Good

About

Results-driven Frontend Developer with professional experience at PIT Solutions, specializing in React.js and React Native application development. Skilled in building reusable component libraries, integrating payment gateways like Stripe, and connecting Firebase backends — with a complementary background in data analytics that adds a unique, insight-driven perspective to UI decisions.

Skills & Expertise (41)

React Native Advanced

7.8/10

Years Exp

React.js Advanced

7.8/10

Years Exp

Critical thinking Intermediate

7.0/10

Years Exp

Effective Communication Intermediate

7.0/10

Years Exp

Typescript Intermediate

6.5/10

Years Exp

Rest API Intermediate

6.5/10

Years Exp

CSS3 Intermediate

6.4/10

Years Exp

HTML5 Intermediate

6.4/10

Years Exp

GitHub Intermediate

6.0/10

Years Exp

Git Intermediate

6.0/10

Years Exp

Python Intermediate

5.5/10

Years Exp

Node.js Intermediate

5.5/10

Years Exp

Antigravity Chrome DevTools GitHub Copilot Claude AI Performance Optimization code splitting lazy loading Component-Driven Architecture Clean Code Machine Learning SQL Deep Learning Problem Solving Javascript (ES6+ NPM Postman UI Debugging VS Code Unit Testing Jest JWT Authentication Fetch API Axios Tailwind CSS Context API Redux Toolkit React Hooks Responsive Web Design Cross-Browser Compatibility

Work Experience

Associate Software Engineer

PIT Solutions Pvt. Ltd.

Oct 2025 - Present

Developed responsive web and mobile applications using React.js and React Native with reusable component libraries. Integrated RESTful APIs (Axios/Fetch) and managed app state using Redux Toolkit and Context API across web and mobile platforms. Collaborated in Agile/Scrum sprints with stand-ups and code reviews to deliver production-ready features.

Data Science Intern

Luminar Technolab, Kochi

Sep 2023 - Jun 2024

Performed exploratory data analysis (EDA) on 2,000+ datasets to identify trends and actionable insights. Deployed K-Means clustering on healthcare data, segmenting 500+ patients by tumor size and risk group.