Curriculum Vitae
Document Ref: AC-2026-ENG
Experience
Software Engineering Intern
Modelsuite AI • July 2026 – Present
- Engineered the core Prompt Template Library and Guided Modes for the FrameX Image Studio, enabling complex prompt persistence and reusability.
- Resolved critical security vulnerabilities and data integrity issues identified during final code audits in FrameX.
- Architected an admin-controlled video resolution restriction system in the Talent Portal, optimizing storage efficiency and playback performance.
- Resolved severe N+1 query bottlenecks in the Talent Portal backend, significantly reducing database load during user mentioning and tagging.
- Implemented cross-app keyboard shortcut navigation and interactive comment tagging to streamline complex user workflows.
ReactMongoDBExpress.jsSystem ArchitecturePerformance Tuning
Skills
Languages
PythonTypeScript
Frameworks
Express JSNext.jsNode.jsPrisma ORMReactReduxTailwindTailwind CSSZustand
Projects
March 2026
- • Built features to evaluate subjective answers using AI-based assessment
- • Designed analytics dashboards to track user performance and learning progress
- • Integrated structured content pipelines for personalized learning experiences
2026
- • Architecture designed to handle high concurrency and reasoning capabilities for session triage.
- • Frontend built with Next.js App Router, TailwindCSS, and GSAP for high-performance UI.
- • Cognitive core utilizes a LangGraph multi-agent state machine hosted on FastAPI.
2026
- • Engineered real-time mapping and route recommendations for public transportation.
- • Built a Next.js full-stack application with React + Tailwind for the frontend and API Routes for the backend.
- • Simulated and displayed live fleet telemetry using a custom Route Recommendation Engine and Prisma ORM.
2025
- • Parsed codebases and created dynamic node layouts powered by dagre and React Flow.
- • Traversed source code and mapped dependencies using a custom Babel pipeline.
- • Provided architectural explanation of microservices interaction using Llama 3 via Groq SDK.
2025
- • Integrated heavy multimedia assets and complex CSS animations while maintaining a 60fps frame rate.
- • Leveraged pure Vanilla HTML5, CSS3, and native JavaScript for maximum performance and SEO.
- • Executed highly complex, scroll-linked animations directly in the browser's native rendering engine.
Education
2025 - 2029
Bachelor of Technology (Artificial intelligence)
Newton School Of Technology, Rishihood University
7.68/10.0
2024 - 2025
Intermediate (Class XII)
Gyanti devi Inter College
67.0%
2021 - 2022
Matriculation (Class X)
Sunbeam School, Ballia
84.0%