Open to opportunities

Ji S

@jis

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Full-stack software developer focused on building scalable web apps with React, Node.js, and AWS.

India

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What I'm looking for

I seek a hands-on engineering role where I can build scalable web products, lead small teams, work with React/Node/Python on AWS, and contribute to product strategy.

I am a full-stack software developer with 2+ years of hands-on experience architecting and delivering scalable web applications using React, Next.js, TypeScript, Node.js, and Python.

At Estospaces I built a Prop-tech MVP end-to-end, led a team of four interns, established Agile practices, and improved delivery speed by 30% while architecting AWS infrastructure to support 1,000+ daily active users with 99.9% uptime.

In prior roles I developed multi-tenant marketing platforms, a QR code certificate system that reduced verification time by 80%, and co-developed systems supporting 2,000+ concurrent users, while automating CI/CD to cut deployment errors by 90%.

I combine product research, user testing, and data-driven roadmaps with hands-on engineering to deliver robust, production-ready systems and mentor junior engineers to raise overall team quality.

Experience

Work history, roles, and key accomplishments

Current

Managing Director

Current

Estospaces Solutions Pvt. Ltd

May 2024 - Present (1 year 6 months)

Built a Prop-tech MVP end-to-end (Next.js, TypeScript, Node.js, AWS) and led a team of four interns, improving feature delivery velocity by 30% and maintaining 99.9% uptime for 1,000+ daily users.

Next.js TypeScript Node AWS Lambda API Gateway RDS Agile CI CD

Software Engineer

Coursera Academy

Jan 2025 - Apr 2025 (3 months)

Developed a QR code certificate system (Django, Supabase) reducing verification time by 80% and built a multi-tenant marketing platform (React, Tailwind) that increased lead conversion by 18%.

Python Django Supabase React Tailwind Shadcn Ui CI CD Mentoring

Junior Software Developer

Enkindle Technologies Pvt. Ltd.

Mar 2023 - Sep 2024 (1 year 6 months)

Co-developed ICMS and eVoting apps (React, Material-UI, Python-Flask) supporting 2,000+ concurrent users, designed Gremlin-graph schemas improving query performance by 40%, and automated CI/CD to cut deployment errors by 90%.

React Material UI Python Flask Gremlin PostgreSQL GitHub Actions AWS CodePipeline

Machine Learning Intern

Feynn Labs

Jul 2021 - Sep 2021 (2 months)

Prototyped AI healthcare analytics processing 50K+ records with 92% accuracy and improved Tiny-YOLO object-detection precision by 15% through large-scale annotation and preprocessing automation.