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Chitramingle
Full-stack image editing app built with Next.js, Convex, Clerk, and Fabric.js. It lets users upload images, edit them on a canvas, apply AI-powered transformations, and export results.
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Software Engineer | AI Enthusiast | Innovator | Researcher
Building scalable full-stack systems and exploring web3 & ML through applied computer science research.
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The engineering engine is built around full-stack JavaScript, typed routing patterns, API services, and relational data.
Component systems, stateful interfaces, and accessible product surfaces.
App Router delivery, server-rendered pages, and production routing.
Runtime architecture for APIs, services, and asynchronous workflows.
HTTP services, middleware composition, and REST API boundaries.
Relational schema design, query discipline, and transactional data.
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A clean project list for engineering work, research prototypes, and deployment-oriented service architecture.
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Full-stack image editing app built with Next.js, Convex, Clerk, and Fabric.js. It lets users upload images, edit them on a canvas, apply AI-powered transformations, and export results.
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Full-stack app for preparing interview candidates using AI-powered feedback. Includes an Express backend (AI and auth services) and a React + Vite TypeScript frontend.
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AI-powered autocomplete for Nepali text using a Bi-LSTM next-word prediction model.
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Explored more projects in my GitHub repositories with a focus on AI, web development, and research prototypes.
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Professional engineering experience across full-stack products, mobile apps, deployment infrastructure, and business software systems.
Codniv Innovations Pvt. Ltd
Software engineering work across product, platform, and deployment.
June 6, 2024 - Present
Built and maintained React, Next.js, Node.js, and React Native projects across web, backend, and mobile surfaces.
Used Nginx and cloud infrastructure to deploy applications and support production delivery.
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React, Next.js, Node.js, and React Native product work
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Decentralized social media platform with advanced media management and optimization
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Multitenant software solution infrastructure
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Business dashboards for operational workflows
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Nginx and cloud infrastructure for application deployment
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M.Sc. CSIT research work focused on Neural Networks, Machine Learning algorithms, and disciplined experiment evaluation.
Laboratory
Engineering methods applied to research questions.
Hyperparameter tuning with Genetic Algorithms for optimizing model performance and efficiency for Random Forests and Neural Networks.
Text Prection with Bi-LSTM for Nepali corpus, including data preprocessing, model architecture, and training strategies.
Currently working on Transformer-based language models for Nepali text, focusing on architecture design, training methodologies, and evaluation metrics.
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Social Links
Public profiles and contact routes belong here once the exact URLs are available.