Atharva Kanawade

Atharva Kanawade

From multi-agent AI systems and production backends to mobile apps and racing drones — I engineer solutions across the full stack. Currently building AI-driven production systems at Applied AI Consulting, and always shipping something new.

About Me

Background

Electronics & Telecommunication Engineering student with professional experience in AI-driven production systems. Currently completing a 6-month industry internship at Applied AI Consulting, building multi-agent AI workflows and production backends while maintaining a 9.02 CGPA.

What I Build

I work across the entire stack — from agentic AI systems and LLM integrations to mobile apps (React Native), full-stack backends (FastAPI, Node.js), and even racing drones. Every project ships production-ready, not as a side experiment.

Engineering Philosophy

Security thinking is baked into everything I build. Like a certain genius billionaire — I design, I build, I test, I iterate. From the first line of code to deployment, every system is engineered to be production-grade.

Professional Experience

Software Engineer – Trainee

Applied AI Consulting (AAIC)

InternshipJan 2026 – Present · 5 mos Pune, Maharashtra · On-site

Worked on AI-driven production systems and backend workflows as part of a 6-month industry internship.

Key Contributions

  • Contributed to multi-agent AI system workflows and orchestration
  • Improved test coverage to ~70% across multiple modules
  • Validated SQL to PostgreSQL migration including tables, indexes, constraints, and procedures
  • Investigated live production issues using AWS CloudWatch and RDS logs
  • Worked with LangGraph, WebSockets, FastAPI, and AI models such as OpenAI Whisper and Gemini 2.5
  • Contributed to React Native application development
  • Gained hands-on exposure to webhook systems, queue workers, and log-based debugging

Focus: Agentic AI systems, backend engineering, cloud debugging, and system reliability.

🍳 Cooking Application (During Internship)

LLM and database heavy cooking application developed alongside the internship.

  • Full-stack mobile app with LLM-powered recipe intelligence
  • Firebase for authentication and App Check
  • Global state management via Redux Toolkit
  • Hosted on AWS, developed for both iOS and Android
React NativeNode.jsExpress.jsFirebasePostgreSQLRedux ToolkitAWS
LangGraphFastAPIWebSocketsOpenAI WhisperGemini 2.5React NativeAWS CloudWatchPostgreSQLPython

R&D Intern

Encrypta Inc.

InternshipDec 2024 – Mar 2025

Key Contributions

  • Engineered secure desktop authenticator using Python, Node.js, and Electron.js
  • Implemented HTTPS and WebSocket encryption achieving zero data leaks in testing
  • Deployed multi-factor authentication reducing attack vectors by 70%
  • Applied secure coding practices throughout the development lifecycle
PythonNode.jsElectron.jsHTTPSWebSocketMFASecure Coding

AI-ML Head – UAV & Drone Projects

Team Vajra, MMCOE

Leadership2023 – Present

Key Contributions

  • Managed end-to-end UAV development using Pixhawk, APM, and SpeedyBee flight controllers
  • Supervised flight tuning, testing, and integration of embedded and automation systems
  • Developed a compact 3-inch FPV racing drone optimized for confined-space flying
  • Designed and tuned a high-performance 5-inch FPV racing drone for competitive racing
  • Led AI/Autonomous navigation research for UAV applications
PixhawkAPMSpeedyBeeAutonomous NavigationPID TuningEmbedded SystemsUAV Dynamics

Featured Projects

From mobile apps and AI systems to drones and security platforms — here's what I've built.

Cooking Application

Featured

LLM-Powered Recipe Intelligence Platform (Built during AAIC Internship)

Full-stack mobile cooking application leveraging LLM intelligence for recipe discovery, built as a side project during my internship at AAIC.

  • LLM-powered recipe search and recommendation engine
  • Firebase Auth + App Check for secure authentication
  • Redux Toolkit for global state management
  • Hosted on AWS, developed for both iOS and Android
MobileFull StackAI/ML
React NativeNode.jsExpress.jsFirebasePostgreSQLRedux ToolkitAWS

PRECURSOR

Featured

End-to-End Supply Chain Management for Precursor Chemicals

Mobile app for precursor chemical supply chain management with ML anomaly detection, IoT sensor integration, and blockchain traceability.

  • End-to-end supply chain tracking mobile application
  • LSTM and Isolation Forest ML models for anomaly detection
  • IoT sensors connected via ThingSpeak for real-time monitoring
  • Blockchain scripts in Python for traceability
MobileAI/MLIoTFull Stack
React NativeFastAPIPythonLSTMIsolation ForestThingSpeakBlockchain

RagaStream 🎵

Featured

Personal Ad-Free Indian Music Streaming App

Ad-free Indian music streaming app for Android. Streams audio from YouTube via yt-dlp with zero cloud storage and zero infra cost.

  • Streams audio from YouTube via yt-dlp — no cloud storage needed
  • Supabase Auth (JWT) and PostgreSQL database
  • Zustand + React Query for state management
  • react-native-track-player v4 for audio playback
MobileFull Stack
React NativeExpo SDK 54TypeScriptFastAPISupabaseyt-dlpZustandReact Query

PinNest

Priority Task Pinning with Home Screen Widgets

Mobile task management app where users create priority-based tasks, pin them to the home screen, and track efficiency via a dashboard.

  • Priority-based task creation and management
  • Pin tasks directly to device home screen
  • Efficiency tracking dashboard
  • Supabase for auth and database backend
Mobile
React NativeSupabasePostgreSQL

EdgeVision

Electronic Component Classifier — TinyML Ready

Lightweight computer vision project for classifying Capacitors and Inductors using MobileNetV2 transfer learning, designed for future edge deployment.

  • MobileNetV2 transfer learning — 99-100% validation accuracy
  • Binary classification: Capacitor vs Inductor
  • Designed to be lightweight for future ESP32-CAM deployment
  • TFLite conversion planned for edge inference
AI/ML
PythonTensorFlowKerasMobileNetV2NumPyMatplotlibScikit-learn

MatchSense 🏏

Pre-Match IPL Prediction with Confidence-Aware ML

Data-driven study of IPL match predictability using only pre-match information. Features a confidence-aware CatBoost model that knows when to abstain.

  • Confidence-aware model that abstains on low-signal matches
  • 66.7% accuracy on high-confidence predictions (IPL 2024)
  • Symmetric team labelling to remove positional bias
  • Final deployment model trained on 2019-2025 data for IPL 2026
AI/ML
PythonCatBoostPandasScikit-learnJupyter

ARTEMIS

Featured

Advanced Reactive Threat Elimination & Monitoring System

Full-spectrum security platform combining ML-powered phishing detection with hardware-based wireless defense and cloud honeypot infrastructure.

  • Naive Bayes classifier achieving 90%+ phishing detection accuracy
  • ESP8266/ESP32 system blocking 85%+ deauth attacks
  • AWS EC2 honeypots for threat intelligence gathering
  • Lightweight WAF with SQLi/XSS protection and rate limiting
SecurityAI/ML
PythonScikit-learnFlaskAWS EC2ESP32

Harvest-Health

AI-Powered Crop Monitoring Rover

IoT-enabled agricultural rover using CNN-based plant disease detection with cloud updates and automated farmer alerts.

  • CNN model with 90%+ accuracy for potato leaf disease detection
  • Custom rover with sensors for autonomous field monitoring
  • Real-time cloud data transmission via ThingSpeak
  • SMS alert system using Twilio API integration
AI/MLIoT
TensorFlowKerasOpenCVThingSpeakTwilio

ResponseForge

NIST-Based Incident Response Automation Platform

Enterprise-grade React application that automates NIST SP 800-61 compliant incident response plans.

  • NIST SP 800-61 compliant plan generation
  • 90% reduction in manual IR planning time
  • PDF export in under 2 minutes
  • Validated by 92% of enterprise test users
SecurityFull Stack
React.jsJavaScriptHTML/CSS

Automotive Part QC Classifier

Industrial AI Quality Control System

Production-ready computer vision system for automated part inspection using transfer learning.

  • Transfer learning with MobileNetV2 for part classification
  • Reliable detection across multiple part variants
  • Packaged as .exe for factory floor deployment
  • Real-time defect detection pipeline
AI/ML
TensorFlowMobileNetV2OpenCVPyInstaller

Autonomous Quadcopter

Waypoint-Driven UAV with Real-Time Telemetry

Autonomous quadcopter for short-range payload delivery using CrossFlight FC and custom low-cost telemetry module.

  • Fully autonomous waypoint-driven flight system
  • Custom low-cost telemetry module with stable real-time link
  • CrossFlight FC integration for precision navigation
  • Designed for short-range delivery missions
RoboticsIoT
CrossFlight FCWaypoint NavigationTelemetry ModuleEmbedded Systems

3-Inch FPV Racing Drone

Compact FPV System for Indoor & Tight-Spaces

Lightweight 3-inch FPV drone built using SpeedyBee Mini FC, optimized for confined-space flying with refined PID loops.

  • Compact 3-inch FPV platform for tight-space flying
  • Custom PID tuning for responsiveness and stability
  • Optimized for power efficiency
  • Lightweight frame for agile and precise flight
Robotics
SpeedyBee Mini FCFPV SystemPID TuningLightweight Frame

5-Inch FPV Racing Drone

High-Performance FPV Racing Platform

High-speed 5-inch FPV racing drone developed using SpeedyBee F405 V3 FC, optimized for competitive racing.

  • High-performance racing drone for competitive events
  • Precision-tuned for speed and sharp cornering
  • SpeedyBee F405 V3 for reliable control
  • Optimized flight stack for aggressive maneuvers
Robotics
SpeedyBee F405 V3Racing FrameFPV SystemPID Optimization

Technical Arsenal

Tools and technologies I use to build production systems across the full stack.

Agentic AI & LLMs

Multi-Agent Systems

ADVANCED
LangGraphOrchestrationWorkflow Design

LLM Integration

ADVANCED
OpenAI WhisperGemini 2.5Prompt Engineering

AI Backend Systems

STRONG
FastAPIWebSocketsQueue Workers

Mobile Development

React Native

ADVANCED
ExpoTypeScriptNavigation

State Management

STRONG
Redux ToolkitZustandReact Query

Mobile Backend

STRONG
FirebaseSupabaseApp Check

Machine Learning

Deep Learning

ADVANCED
TensorFlowKerasCNNs

Classical ML

ADVANCED
Scikit-learnCatBoostXGBoost

Computer Vision

STRONG
OpenCVMobileNetV2YOLO

Model Deployment

STRONG
Flask APIsAWS EC2Docker

Security

Penetration Testing

ADVANCED
NmapBurp SuiteWeb Apps

Network Security

ADVANCED
CCNA CertifiedFirewalls & WAFHoneypots

Threat Detection

STRONG
SIEMLog AnalysisAlert Tuning

Secure Development

STRONG
OWASPMFAThreat Modeling

Engineering

Backend Development

ADVANCED
PythonFastAPINode.jsExpress.js

Frontend Development

STRONG
ReactNext.jsTypeScript

Cloud & DevOps

STRONG
AWSCloudWatchRDSDocker

Database Systems

STRONG
PostgreSQLFirebaseSupabaseSQL Migration

Robotics

Flight Controllers

ADVANCED
PixhawkAPMSpeedyBee

Autonomous Navigation

STRONG
Waypoint NavMission Planning

FPV Tuning

ADVANCED
PID TuningFPV SystemsFlight Dynamics

Drone Systems

EXPERT
UAV DesignPower SystemsEmbedded

Additional Technologies

PythonJavaScriptTypeScriptReactReact NativeNode.jsExpress.jsFastAPIFlaskDockerAWSLinuxGitPostgreSQLFirebaseSupabaseRedux ToolkitWebSocketsREST APIsBashC++JavaNumPyPandas

Achievements & Certifications

Achievements

ARTEMIS Published in IEEE Xplore

Presented at 3rd IEEE International Conference on Emerging Trends and Innovation in ICT (ICEI 2026), PICT Pune

View on IEEE Xplore

World Rank 3 & AIR 2 – Technoxian Drone Racing 2025

Ranked among 32 international teams in global FPV drone racing competition

CTF Winner - NigVanta'25

Capture The Flag Competition Champion

Innovators Challenge 2k24

24-Hour Hackathon Winners

Certifications

Cisco Certified Network Associate (CCNA)

CiscoMay 2025

Google Cybersecurity Professional Certificate

Google & CourseraJul 2024

Network Essentials

CiscoJun 2024

From the Blog

Let's Connect

Interested in collaborating on AI systems, full-stack projects, mobile apps, or anything engineering? I'm always open to new opportunities.