Our Website: _Email not available. Sign in: https://www.twine.net/signup_ Software Engineer with a background in Data Science and Artificial Intelligence, specializing in building scalable full-stack applications and modern software systems. Experienced in developing web and mobile solutions using React, React Native, Next.js, FastAPI, and PostgreSQL, with a strong focus on clean architecture, maintainability, and performance. Skilled in designing RESTful APIs, managing cloud deployments, and implementing structured testing practices across the development lifecycle. Has contributed to AI-assisted development platforms, infrastructure automation tools, and data-driven learning applications, combining strong engineering fundamentals with practical GenAI integration. Brings a thoughtful approach to using AI—leveraging automation where it adds value while applying human judgment to system design and architecture. Known for clear communication, strong documentation habits, and collaborative teamwork in distributed environments. Also a graded Mridangam artist, reflecting discipline, creativity, and rhythm that carry into problem-solving and engineering execution.

Draft2Deploy

Our Website: _Email not available. Sign in: https://www.twine.net/signup_ Software Engineer with a background in Data Science and Artificial Intelligence, specializing in building scalable full-stack applications and modern software systems. Experienced in developing web and mobile solutions using React, React Native, Next.js, FastAPI, and PostgreSQL, with a strong focus on clean architecture, maintainability, and performance. Skilled in designing RESTful APIs, managing cloud deployments, and implementing structured testing practices across the development lifecycle. Has contributed to AI-assisted development platforms, infrastructure automation tools, and data-driven learning applications, combining strong engineering fundamentals with practical GenAI integration. Brings a thoughtful approach to using AI—leveraging automation where it adds value while applying human judgment to system design and architecture. Known for clear communication, strong documentation habits, and collaborative teamwork in distributed environments. Also a graded Mridangam artist, reflecting discipline, creativity, and rhythm that carry into problem-solving and engineering execution.

Available to hire

Our Website: Email not available. Sign in: https://www.twine.net/signup

Software Engineer with a background in Data Science and Artificial Intelligence, specializing in building scalable full-stack applications and modern software systems. Experienced in developing web and mobile solutions using React, React Native, Next.js, FastAPI, and PostgreSQL, with a strong focus on clean architecture, maintainability, and performance. Skilled in designing RESTful APIs, managing cloud deployments, and implementing structured testing practices across the development lifecycle.

Has contributed to AI-assisted development platforms, infrastructure automation tools, and data-driven learning applications, combining strong engineering fundamentals with practical GenAI integration. Brings a thoughtful approach to using AI—leveraging automation where it adds value while applying human judgment to system design and architecture.

Known for clear communication, strong documentation habits, and collaborative teamwork in distributed environments. Also a graded Mridangam artist, reflecting discipline, creativity, and rhythm that carry into problem-solving and engineering execution.

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Experience Level

Expert
Expert
Expert
Expert

Work Experience

Freelance: App Developer at Prepstreak
June 1, 2025 - July 31, 2025
Developed a gamified learning application for students (Grades 4–6) focused on habit-based learning using React Native • Designed and implemented backend services using FastAPI • Enhanced the application by implementing a leaderboard feature • Contributed to scalable AI-based product architecture for long-term growth and performance • Designed and built an automated PDF-to-SQL ingestion pipeline to transform raw SAT practice content into structured relational databases • Implemented Python-based data extraction, cleaning, and normalization using LangChain and LlamaIndex to process unstructured PDF inputs • Leveraged LLM-powered semantic parsing with robust validation checks to ensure schema alignment and high data accuracy • Orchestrated end-to-end workflows using n8n to enable reliable, repeatable, and fault-tolerant automation • Delivered a production-grade solution that minimized manual data entry and supported scalable, data-driven application functionality

Education

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Qualifications

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Industry Experience

Education, Software & Internet, Other