Amogh H
Full-Stack Mobile, AI & Embedded Systems Engineer
Building intelligent systems at the intersection of AI, mobile, and embedded hardware.
I specialize in developing real-time computer vision systems with YOLO and DeepSORT, crafting production-ready mobile applications with Kotlin and Flutter, and building robust embedded solutions for IoT and industrial applications. From concept to deployment, I deliver scalable, intelligent systems that solve real-world problems.
About Me
I'm a versatile engineer who bridges the gap between artificial intelligence, mobile development, and embedded systems. My expertise spans from building intelligent computer vision pipelines to deploying production-ready applications used by thousands of users.
In AI & Computer Vision, I've developed real-time detection and tracking systems using YOLOv5/v8, DeepSORT, and MediaPipe, implementing multi-object tracking with stable ID association and behavior classification. I work extensively with PyTorch for inference optimization and OpenCV for advanced image processing.
On the mobile front, I've published apps on the Play Store using Kotlin with Jetpack Compose and Flutter, integrating Firebase services (Auth, Firestore, Analytics, AdMob) for full-stack solutions. I build cross-platform applications with responsive web counterparts using Next.js.
In embedded systems, I design and program microcontroller-based solutions with ESP32, Arduino, and ARM Cortex-M3 platforms. I handle sensor interfacing (DHT22, MQ135, DS18B20), wireless communication (BLE GATT, WiFi), ADC/UART protocols, and firmware development for industrial IoT applications.
Strengths
- Rapid prototyping & problem solving
- Strong debugging ability (firmware & software)
- End-to-end product development
- Clean architecture & scalable design
- Self-driven, fast learner, execution-focused
Skills
Languages
Frameworks
AI & CV Tools
Mobile & Cloud
Embedded & Hardware
Tools
Projects
TimerX App
Screen Time Management App
- ▹Built a production-ready Android productivity app to manage screen time using timers, overlays, wait locks, and app-usage tracking.
- ▹Implemented Firebase Analytics to study user behaviour and optimise usage flows.
- ▹Published on Play Store with consistent updates and feature rollouts.
Vodel
Cross-Platform Day Counter & Habit Tracker
- ▹Developed a full-stack, cross-platform day counter and habit-tracking app for Android and Web, backed by Firebase services.
- ▹Implemented real-time sync using Firestore, secure authentication, and platform-consistent data structures.
- ▹Built and deployed a responsive Next.js web app on a custom domain with routed navigation and SEO-friendly pages.
AI-Powered Behaviour Detection System
Intelligent Surveillance System
- ▹Building an intelligent surveillance system capable of detecting abnormal actions like running, fighting, and loitering.
- ▹Implemented a multi-object tracking pipeline using YOLOv8 + DeepSORT with stable ID association.
- ▹Integrated pose estimation for behaviour classification and event pattern detection.
- ▹Target output: alerting dashboard with incident snapshots and downloadable video clips.
Real-Time Object Detection Using YOLO
Computer Vision Pipeline
- ▹Implemented real-time object detection pipelines for images and live video using YOLO models.
- ▹Performed preprocessing, inference, post-processing, and bounding-box visualisation using OpenCV.
- ▹Achieved ~20–30 FPS on webcam with YOLOv5s while exploring speed–accuracy tradeoffs and model scaling.
- ▹Evaluated CPU/GPU performance and tuned inference for deployment use cases.
IoT-Based Real-Time Environmental Monitoring System
Embedded Systems Project
- ▹Designed and developed an embedded environmental monitoring system capable of measuring temperature, humidity, and air quality in real time.
- ▹Implemented 12-bit ADC interfacing for MQ-135 to compute CO₂ ppm values and a UART communication layer for serial data output.
- ▹Programmed precise timing-based data acquisition for the DHT22 sensor (start pulse, response phases, 40-bit data sequence).
- ▹Demonstrated accurate environment readings with real-time alerts for threshold breaches.
Work Experience
Embedded & Mobile Software Intern
Ongoing — Ending SoonGenius Industrial Services
- ▹Developed Flutter app with BLE GATT for real-time heater control and sensor monitoring.
- ▹Built ESP32 firmware with WiFi, DS18B20 sensing, and relay-based control, improving stability and reducing BLE drops.
- ▹Collaborated with hardware + product teams to integrate mobile, firmware, and backend components for pilot deployment.
Skills Used:
Embedded Systems Intern
3Zero
- ▹Delivered embedded solutions involving sensor interfacing, PCB debugging, actuator control, and microcontroller firmware.
- ▹Supported prototype-to-production work across mechanical, electrical, and software teams.
- ▹Strengthened embedded C/C++, hardware debugging, and real-world system integration skills.
Skills Used:
Education
B.E. in Electronics and Communication Engineering
National Institute of Engineering (NIE), Mysuru
📅2022 – 2026 (June)
Pursuing a comprehensive degree in Electronics & Communication with focus on embedded systems, signal processing, and communication technologies.
Get In Touch
Contact Information
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