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Sinchine Das is a Computer Science undergraduate at Lovely Professional University and a passionate Software Engineer and Full Stack Developer specializing in building scalable web applications and distributed systems. He has hands-on experience with technologies such as Java, Python, JavaScript, React.js, Node.js, Django, and SQL/NoSQL databases, along with cloud deployment using AWS and Docker. His work focuses on system design, backend architecture, performance optimization, and API development to create production-ready applications. Sinchine has built several impactful projects, including a Stock Market Analysis & Trading Platform capable of handling thousands of stock records with optimized database queries and multithreaded backend services. He also developed an AI Resume Analyzer using Python and deployed it on AWS using a microservices architecture. He has solved 500+ Data Structures and Algorithms problems across multiple languages, strengthening his algorithmic thinking and optimization skills. His achievements include participation in major hackathons such as Google Girls Hackathon, Adobe Hackathon, and Walmart CodeHers, where he successfully cleared multiple competitive rounds. Driven by a passion for building scalable products and solving real-world problems, Sinchine aims to contribute to innovative engineering teams working on high-impact software systems.…Sinchine Das is a Computer Science undergraduate at Lovely Professional University and a passionate Software Engineer and Full Stack Developer specializing in building scalable web applications and distributed systems. He has hands-on experience with technologies such as Java, Python, JavaScript, React.js, Node.js, Django, and SQL/NoSQL databases, along with cloud deployment using AWS and Docker. His work focuses on system design, backend architecture, performance optimization, and API development to create production-ready applications. Sinchine has built several impactful projects, including a Stock Market Analysis & Trading Platform capable of handling thousands of stock records with optimized database queries and multithreaded backend services. He also developed an AI Resume Analyzer using Python and deployed it on AWS using a microservices architecture. He has solved 500+ Data Structures and Algorithms problems across multiple languages, strengthening his algorithmic thinking and optimization skills. His achievements include participation in major hackathons such as Google Girls Hackathon, Adobe Hackathon, and Walmart CodeHers, where he successfully cleared multiple competitive rounds. Driven by a passion for building scalable products and solving real-world problems, Sinchine aims to contribute to innovative engineering teams working on high-impact software systems.

Sinchine Das

Full Stack Developer, Front-End Developer, Back-End Developer, +5

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Sinchine Das is a Computer Science undergraduate at Lovely Professional University and a passionate Software Engineer and Full Stack Developer specializing in building scalable web applications and distributed systems. He has hands-on experience with technologies such as Java, Python, JavaScript, React.js, Node.js, Django, and SQL/NoSQL databases, along with cloud deployment using AWS and Docker. His work focuses on system design, backend architecture, performance optimization, and API development to create production-ready applications. Sinchine has built several impactful projects, including a Stock Market Analysis & Trading Platform capable of handling thousands of stock records with optimized database queries and multithreaded backend services. He also developed an AI Resume Analyzer using Python and deployed it on AWS using a microservices architecture. He has solved 500+ Data Structures and Algorithms problems across multiple languages, strengthening his algorithmic thinking and optimization skills. His achievements include participation in major hackathons such as Google Girls Hackathon, Adobe Hackathon, and Walmart CodeHers, where he successfully cleared multiple competitive rounds. Driven by a passion for building scalable products and solving real-world problems, Sinchine aims to contribute to innovative engineering teams working on high-impact software systems.…Sinchine Das is a Computer Science undergraduate at Lovely Professional University and a passionate Software Engineer and Full Stack Developer specializing in building scalable web applications and distributed systems. He has hands-on experience with technologies such as Java, Python, JavaScript, React.js, Node.js, Django, and SQL/NoSQL databases, along with cloud deployment using AWS and Docker. His work focuses on system design, backend architecture, performance optimization, and API development to create production-ready applications. Sinchine has built several impactful projects, including a Stock Market Analysis & Trading Platform capable of handling thousands of stock records with optimized database queries and multithreaded backend services. He also developed an AI Resume Analyzer using Python and deployed it on AWS using a microservices architecture. He has solved 500+ Data Structures and Algorithms problems across multiple languages, strengthening his algorithmic thinking and optimization skills. His achievements include participation in major hackathons such as Google Girls Hackathon, Adobe Hackathon, and Walmart CodeHers, where he successfully cleared multiple competitive rounds. Driven by a passion for building scalable products and solving real-world problems, Sinchine aims to contribute to innovative engineering teams working on high-impact software systems.

Available to hire

Sinchine Das is a Computer Science undergraduate at Lovely Professional University and a passionate Software Engineer and Full Stack Developer specializing in building scalable web applications and distributed systems.

He has hands-on experience with technologies such as Java, Python, JavaScript, React.js, Node.js, Django, and SQL/NoSQL databases, along with cloud deployment using AWS and Docker. His work focuses on system design, backend architecture, performance optimization, and API development to create production-ready applications.

Sinchine has built several impactful projects, including a Stock Market Analysis & Trading Platform capable of handling thousands of stock records with optimized database queries and multithreaded backend services. He also developed an AI Resume Analyzer using Python and deployed it on AWS using a microservices architecture.

He has solved 500+ Data Structures and Algorithms problems across multiple languages, strengthening his algorithmic thinking and optimization skills. His achievements include participation in major hackathons such as Google Girls Hackathon, Adobe Hackathon, and Walmart CodeHers, where he successfully cleared multiple competitive rounds.

Driven by a passion for building scalable products and solving real-world problems, Sinchine aims to contribute to innovative engineering teams working on high-impact software systems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

Javanese

Advanced

Amharic

Advanced

Work Experience

Full-Stack Developer at Stock Market Analysis & Trading Platform

June 1, 2025 - July 31, 2025

Built a scalable Java-based simulation handling 5,000+ stock records with secure authentication and technical analysis. Optimized backend with multithreading and efficient query handling, improving reliability and reducing latency by 20%. Designed with modular architecture and fault-tolerant data retrieval.

Full-Stack Developer at NASA Thawing Centre Website

April 1, 2025 - May 31, 2025

Developed and deployed a full-stack booking system with REST APIs, secure payments, and automated workflows. Focused on reliability and transactional consistency, reducing booking errors by 30%. Collaborated across a 3-member team to manage Git-based version control and CI.

Software Engineer at AI-RESUME-ANALYZER

October 1, 2024 - November 30, 2024

Built an AI-powered resume analysis platform using Streamlit, Python, pdfminer, featuring automated parsing and structured insights stored securely in MySQL. Designed a scalable backend with Dockerized services and secure inter-container networking for smooth communication between the frontend and database. Deployed on AWS EC2 instances.

Full Stack Developer (Stock Market Analysis Platform) at Self-initiated Projects

June 1, 2025 - July 1, 2025

Built a scalable Java-based trading simulation system handling 5,000+ stock records with secure authentication and modular service design. Implemented multithreaded backend services, efficient database indexing, and RESTful APIs, reducing system latency by 20%. Ensured fault-tolerant data retrieval and optimized query execution for reliability and performance.

Full Stack Developer at NASA Thawing Centre (Project)

April 1, 2025 - May 1, 2025

Full Stack Developer at AI Resume Analyzer (Project)

October 1, 2024 - November 1, 2024

Built an AI-powered resume analysis platform using Python, Streamlit, and pdfminer to extract and structure resume data. Dockerized microservices-based backend with secure inter-container communication. Deployed on AWS EC2 for scalability and reliability.

Full Stack Developer (Stock Market Analysis & Trading Platform)

June 1, 2025 - July 1, 2025

Built a scalable Java-based trading simulation system handling 5,000+ stock records with secure authentication and modular service design. Designed backend services using multithreading, efficient database indexing, and RESTful API patterns, reducing system latency by 20%. Implemented fault-tolerant data retrieval and optimized query execution to improve reliability and performance.

Full Stack Developer at NASA Thawing Centre

April 1, 2025 - May 1, 2025

Developed and deployed a full-stack booking platform using React frontend, RESTful APIs, and backend services. Implemented secure payment workflows and transactional consistency, reducing booking errors by 30%. Collaborated in a 3-member Agile team, managing Git-based version control and CI workflows.

Full Stack Developer

October 1, 2024 - November 1, 2024

Built an AI-powered resume analysis platform using Python, Streamlit, and pdfminer to extract and structure resume data. Designed a Dockerized microservices-based backend with secure inter-container communication. Deployed the application on AWS EC2, ensuring scalability, reliability, and production-readiness.

Software Engineer (Project) at Independent Project

June 1, 2025 - July 1, 2025

Software Engineer (Project) at Independent Project

April 1, 2025 - May 1, 2025

Software Engineer (Project) at Independent Project

October 1, 2024 - November 1, 2024

Software Engineer (Project) at Stock Market Analysis & Trading Platform

June 1, 2025 - July 1, 2025

Software Engineer (Project) at NASA Thawing Centre Website

April 1, 2025 - May 1, 2025

Software Engineer (Project) at AI Resume Analyzer

October 1, 2024 - November 1, 2024

Stock Market Analysis & Trading Platform (Project) at Independent Project

June 1, 2025 - July 1, 2025

NASA Thawing Centre Website (Project) at Independent Project

April 1, 2025 - May 1, 2025

AI Resume Analyzer at Independent Project

October 1, 2024 - November 1, 2024