ATArpit TagadeAI · Software · Hardware
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Full-Stack AI Engineer & Hardware Developer

I design and ship production-focused software where intelligent interfaces, secure backends, realtime infrastructure, and physical hardware work as one system.

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SYSTEM MAPONLINE
LOCATION Nagpur, India
FOCUSSecure, realtime, deployable
Current stackNext.js · Spring Boot
Building across software + hardware
Selected work
03Flagship systems
04Engineering layers
2029B.Tech completion
ENGINEERING RANGEInterface → API → Realtime → Device
SELECTED WORK

Products with real architecture behind the interface.

Each project is presented through the decisions that make it usable in production: identity, persistence, transport boundaries, failure handling, deployment, and long-term maintainability.

01
FEATURED SYSTEM / 01

Monika AI

Multimodal AI companion platform

A production-oriented AI companion with persistent conversations, editable memory, multimodal input, device sessions, reminders, quotas, and administrator controls.

  • Persistent AI memory
  • Multimodal interaction
  • Revocable user sessions
Architecture

Node.js and Express coordinate authentication, MongoDB-backed conversation state, Firebase services, and a dual-path Gemini workflow for immediate responses and asynchronous memory updates.

Node.jsExpressMongoDBGemini 2.5FirebaseJWT
Live project View source
02
FEATURED SYSTEM / 02

Neosis

Secure realtime communication platform

A full-stack messaging application with contacts, persistent conversations, media sharing, profile controls, server-backed preferences, and browser audio/video calls.

  • Persistent realtime chat
  • WebRTC audio/video
  • Production security controls
Architecture

Spring Boot owns security, REST operations, MongoDB persistence, GridFS media, and STOMP messaging. WebRTC carries peer media while WebSocket signaling coordinates call state.

Java 17Spring BootReactWebRTCWebSocketsMongoDB
Live project View source
03
FEATURED SYSTEM / 03

CandyRobot

AI-connected robotic interface

An ESP32-based physical interface combining servo movement, a 128×64 OLED, network communication, and Gemini-powered interaction.

  • ESP32 firmware
  • Servo + OLED control
  • Cloud AI integration
Architecture

Non-blocking embedded loops reconcile deterministic actuator and display timing with slower, failure-prone external network calls.

ESP32C++Gemini APIServo ControlOLEDIoT
Hardware prototype View source
EXPERTISE

One product mindset across four engineering layers.

I work across the full delivery path, while keeping responsibilities explicit and systems observable.

01

Product interfaces

Responsive web experiences with clear information hierarchy, resilient state, accessible motion, and performance-conscious interaction design.

Next.jsReactTypeScriptTailwindFramer Motion
02

Backend platforms

Secure APIs, authentication, persistent sessions, validation, rate controls, and operational endpoints built for real deployment conditions.

Spring BootNode.jsExpressRESTOAuth2 / JWT
03

Realtime systems

Low-latency messaging and calling architectures using WebSockets, STOMP, WebRTC, bounded media transport, and durable persistence.

WebSocketsWebRTCSTOMPMongoDBGridFS
04

AI + hardware

Cloud intelligence translated into deterministic device behavior under latency, timing, memory, voltage, and connectivity constraints.

Gemini APIESP32ArduinoEmbedded C++Sensors
TECHNOLOGY MATRIX

Tools selected by responsibility, not trend.

Frontend

Next.jsReactTypeScriptJavaScriptTailwind CSSFramer Motion

Backend

JavaSpring BootSpring SecurityNode.jsExpressREST APIs

Data

MongoDBMySQLPostgreSQLOracleGridFSSQL

Realtime + AI

WebSocketsSTOMPWebRTCGemini APIFirebaseOAuth2 / JWT

Hardware

ESP32Arduino UnoEmbedded C/C++Servo SystemsOLEDSensors
ABOUT ME

I turn ambitious ideas into systems that can actually be operated.

I’m an Artificial Intelligence and Data Science student based in Nagpur, focused on building deployable software and tangible hardware. My work spans secure sessions, realtime communication, AI memory, backend APIs, responsive interfaces, and ESP32-driven physical feedback.

I prefer explicit architecture over hidden magic. I evaluate projects through security, latency, observability, failure recovery, deployment, and maintenance—not only whether the happy path works locally.

Connect on LinkedIn Explore GitHub
EDUCATION2029

B.Tech in Artificial Intelligence & Data Science

Wainganga College of Engineering and Management

Nagpur, Maharashtra
ENGINEERING PROFILE
Software
AI systems
Realtime
Hardware

Security is part of the design

Identity, authorization, validation, secret handling, and abuse controls are planned as request-flow concerns—not added after the interface is complete.

Boundaries before features

Clear ownership between client, API, realtime transport, persistence, AI, and hardware keeps systems maintainable as they evolve.

Operate what you ship

Health checks, failure states, rate limits, logs, graceful degradation, deployment configuration, and recovery paths are part of the product surface.

START A CONVERSATION

Have a product, platform, or intelligent device worth building?

I’m open to full-stack engineering, AI integration, realtime platform, and hardware-connected work.

Send an email
DIRECT CHANNEL[email protected]
Nagpur, Maharashtra, India