Piyush Kushe

Piyush Kushe

Full-Stack Developer | React.js | Node.js | MERN Stack | Open to Opportunities

Mumbai, IndiaSaaS and AI-driven systems
4roles
28skills
5education

About

Full-Stack Engineer building scalable SaaS and AI-driven systems using React.js, Node.js, and Python, with experience in real-time processing, secure backend architectures, system design, clean architecture, and production-grade performance.

Experience

Software Development Engineer

Bluestock™🔺

Oct 2024 - Nov 2024

Web Development Intern

OctaNet Services Pvt Ltd.

Feb 2024 - Apr 2024

Web Development Intern

CodSoft

Feb 2024 - Feb 2024

Full-stack Developer

Flygenix

July 2025 – April 2026

Built a scalable multi-drone intelligence platform for surveillance, mapping, and disaster monitoring. Designed autonomous drone mission generation, intelligent area segmentation using Weighted Voronoi and Lloyd’s algorithm, energy-aware path planning, AI-based real-time surveillance with YOLOv8, a constraint-aware mission engine, and a real-time dashboard for mission visualization and fleet monitoring. Worked as part of a team of 3.

Education

Vidyavardhini's College of Engineering and Technology

Bachelor of Technology - BTech, Computer Engineering

Nov 2022 - Jun 2026

Sanjay Ghodawat Junior College,Kolhapur

12, Science

Jun 2020 - Feb 2022

Vidhyavardhini’s College Of Engineering and Technology

B.E., Computer Engineering

Oct 2022 – May 2026 (Expected)

Sanjay Ghodawat Junior College

XII (HSC) Board

Apr 2020 – Feb 2022

81.33%

Don Bosco High School

X (SSC) Board

Mar 2020

84%

Skills

HTMLCascading Style Sheets (CSS)Bootstrap (Framework)JavaScriptEngineeringProject ManagementPythonSQLReact.jsCSSTailwind CSSBootstrapNode.jsExpress.jsMongoDBMySQLPostgreSQLSupabaseGitGitHubREST APIsJWT AuthenticationViteStripeOpenCVCNNLSTMYOLOv8

Projects

EmoTrack: Intelligent Hiring with Data and Emotion Detection

Built an AI-driven interview evaluation system combining facial CNN and speech LSTM emotion recognition with 91% accuracy; automated resume shortlisting with skill-based scoring, reducing candidate screening time by 70%; and built a scalable pipeline for real-time interview analytics and behavioral scoring.

ParScore — Golf Charity Subscription Platform (SaaS)

Built a production-ready full-stack SaaS platform using React.js, Vite, Tailwind CSS, Supabase PostgreSQL, and Stripe for subscription-based golf scoring, charity contributions, and automated monthly prize draws. Implemented secure checkout, webhook handling, payment lifecycle management, PostgreSQL triggers, Row-Level Security, Edge Functions, RBAC, JWT authentication, User/Admin dashboards, automated prize pool distribution, and charity contribution enforcement. Achieved 90+ Lighthouse scores and deployed on Vercel and Supabase.