About
Highly motivated and results-driven Software Engineer with expertise in full-stack development, AI/ML integration, and scalable system architecture. Proven ability to build robust front-end and back-end solutions, enhance user engagement, and drive efficiency through innovative technical solutions, demonstrated across diverse projects and internships.
Work
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Summary
Currently building robust front-end infrastructure for a dynamic platform, enhancing user experience and scalability for over 1,000 daily active users.
Highlights
Built scalable front-end infrastructure from scratch using Next.js, with a strong focus on SEO to optimize performance.
Implemented Role-Based Access Control (RBAC) and managed state with React Query, supporting a platform with 1,000+ daily active users.
Integrated real-time notifications with Firebase Cloud Messaging to significantly boost user engagement.
Utilized Google Cloud Platform (GCP) for efficient cloud storage and deployment, ensuring robust application delivery.
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Summary
Architected and developed a multiplayer gaming platform with scalable microservices, integrating secure payment solutions.
Highlights
Architected AequusPlay, a multiplayer gaming platform built with scalable microservices for high performance and reliability.
Integrated Stripe for secure payments and subscriptions, enabling seamless in-game purchases.
Managed full-stack development, leveraging Node.js, TypeScript, WebSockets, Stripe, Next.js, AWS EC2, Nginx, MongoDB, and PostgreSQL.
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Summary
Developed responsive and SEO-optimized frontends with pixel-perfect UI, integrating secure APIs to enhance user interactions.
Highlights
Developed a responsive and SEO-optimized frontend using Next.js, achieving pixel-perfect UI designs.
Integrated secure RESTful APIs with client-side validation to enhance mentor-student interactions.
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Summary
Designed and programmed a Next.js-based client application incorporating machine learning models for real-time fake news detection, achieving 90% accuracy.
Highlights
Designed and programmed a Next.js client application, integrating machine learning (ML) models for real-time detection of fake news in videos, images, and audio.
Achieved 90% accuracy in fake news detection through robust ML model integration.
Collaborated on connecting a Python-based ML model to the Next.js interface, ensuring smooth and efficient backend communication.
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Summary
Created a medical report simplification website, incorporating AI APIs to transform complex reports into plain English and boost readability by 80%.
Highlights
Created a medical report simplification website to transform uploaded reports into plain English, enhancing accessibility.
Incorporated ChatGPT-4 API for summaries and DALL-E for medical image generation, boosting report readability by 80%.
Managed full-stack development, leveraging React.js, Tailwind CSS, MongoDB, Express.js, and Node.js.
Education
Maharaja Agrasen Institute of Technology
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B.Tech
Information Technology
Grade: CGPA: 8.2
SBV No.1, Sarojini Nagar
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(XII) Board
CBSE Board
Grade: Percentage: 89.6%
Skills
Languages
JavaScript, TypeScript, Java.
Frontend
React.js, Next.js, Redux, Zustand, HTML, CSS, Tailwind CSS, Framer Motion.
Backend
Node.js, Express.js.
Databases
PostgreSQL, MongoDB, Prisma ORM, Mongoose.
Cloud Services & Tools
GCP, AWS EC2, Docker.