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I am a Full-Stack AI Engineer and hardware developer based in Nagpur, India, currently pursuing a B.Tech in Artificial Intelligence and Data Science.
I build production-oriented systems across the complete stack—from responsive React and Next.js interfaces to Spring Boot and Node.js services, real-time WebSocket/WebRTC communication, AI orchestration, databases, and ESP32 firmware.
My work is centered on four areas:
- AI products: multimodal assistants, memory systems, model integration, and safe server-side orchestration
- Backend engineering: secure authentication, persistent sessions, APIs, rate controls, validation, and observability
- Real-time systems: messaging, presence, media transfer, signaling, and browser-based audio/video calls
- Physical computing: ESP32, Arduino, embedded C/C++, sensors, displays, and cloud-connected robotics
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Multimodal AI companion platform A full-stack AI application built around Google Gemini with persistent conversations, editable memory, image and document inputs, speech features, authentication, session management, usage controls, and administrative tooling. Stack: Node.js, Express, MongoDB, Gemini API, Firebase, JWT |
Real-time messaging and browser calling platform A React and Spring Boot communication platform with persistent chat, contact management, authenticated media uploads, read receipts, conversation controls, WebSocket messaging, and WebRTC audio/video calling. Stack: Java, Spring Boot, React, MongoDB, STOMP, WebRTC, OAuth 2.0 |
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Responsive portfolio and project showcase A clean, responsive Next.js portfolio that presents my engineering work, technical focus, project case studies, resume, and an optional server-side Gemini assistant. Stack: Next.js, React, TypeScript, Tailwind CSS, Vercel |
AI-connected embedded robotics platform ESP32 firmware that coordinates servo movement, a 128×64 OLED interface, network-bound AI requests, and asynchronous device behavior under real memory, voltage, timing, and thermal constraints. Stack: ESP32, C++, Arduino, OLED, servo control, Gemini API Focus: cloud AI ↔ embedded control ↔ physical interaction |
Production first
I design for maintainability, secure defaults, predictable failure handling, and real deployment constraints—not only for a successful demo.
Security by architecture
Authentication, authorization, session lifecycle, validation, CORS/CSRF behavior, secrets, and abuse controls are treated as system design concerns.
Operational reliability
I account for logging, health checks, deployment configuration, dependency reproducibility, resource limits, retries, and graceful degradation.
Performance with restraint
Interfaces should remain responsive on practical devices, real-time systems should control lifecycle and backpressure, and animations should not compromise usability.
- Building production-grade AI applications with controlled memory and multimodal input
- Designing secure Java and Node.js backends for long-lived user sessions
- Improving real-time communication systems with WebSockets and WebRTC
- Connecting cloud intelligence with ESP32-based hardware and robotics
B.Tech in Artificial Intelligence and Data Science
Wainganga College of Engineering and Management, Nagpur
Expected graduation: 2029
I am open to engineering discussions, collaboration, internships, and roles involving full-stack development, Java backend systems, applied AI, real-time platforms, or IoT hardware.
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