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@pawan_kumar
Self-taught Full-Stack Engineer with a passion for AI tools.
As a self-taught Full-Stack Engineer with over two years of experience, I specialize in building scalable web applications and developer tooling. My journey has led me to develop AI infrastructure, particularly focusing on VS Code extension development and Python-based AI agent orchestration using LangChain and LangGraph. I am passionate about creating intelligent developer tools and financial platforms that operate at scale.
In my current role at AmoYou AI, I designed an AI-powered code assistant that integrates seamlessly with IDEs, enhancing developer productivity through real-time autocomplete and error correction. My previous experience as a Software Developer Intern at Khatabook allowed me to build robust features for a cross-platform app, significantly increasing user engagement. I thrive in environments that challenge my skills and allow me to contribute to innovative projects.
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Work history, roles, and key accomplishments
AmoYou AI
Oct 2024 - Present (1 year 1 month)
Designed an AI-powered code assistant using VS Code Extension APIs, enabling real-time autocomplete, error correction, and code suggestions with seamless IDE integration. Built a backend agentic architecture leveraging a multi-model approach for parallel, asynchronous response generation, deployed across GPU, LPU, and TPU for scalability.
Khatabook
May 2024 - Present (1 year 6 months)
Built robust cross-platform features for the Biz Analyst app, scaling to 10L+ users on iOS and Android. Implemented robust offline functionality, significantly increasing user engagement in low-connectivity areas by 30%.
Degrees, certifications, and relevant coursework
Bachelor of Science, Chemistry
Grade: 8.24/10
Activities and societies: Relevant Coursework: Data Structures & Algorithms, Database Systems, Computer Networks, Software Engineering, Distributed Systems, Cloud Computing.
Pursued a Bachelor of Science in Chemistry, gaining a strong foundation in scientific principles. Completed relevant coursework in Data Structures & Algorithms, Database Systems, Computer Networks, Software Engineering, Distributed Systems, and Cloud Computing.
Software and tools used professionally
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