Sujal Jain
Delhi
Overview
1
1
year of professional experience
Work History
Edge IoT & AI Intern
SourceArena
Gurugram, NCR
06.2025 - Current
- Developed a gesture recognition model using TinyML to detect hand motions (swipe, wave, tap) from accelerometer and gyroscope data on an Arduino Nano 33 BLE Sense.
- Trained and optimized a TensorFlow Lite model for on-device inference, enabling real-time, low-power classification without cloud dependency.
- Applied the system to EdTech use cases such as contactless classroom interaction (e.g., navigating slides, triggering learning modules) and assistive technology for students with limited mobility.
- Optimized model with quantization and pruning, achieving >90% accuracy while running on constrained microcontrollers.
- Integrated results with MQTT-based dashboard to log usage, track learning engagement, and demonstrate potential for smart classrooms.
Project Head
04.2025 - Current
- Developed an IoT-based dust monitoring system using Arduino sensors to measure particulate matter (PM2.5/PM10), temperature, and humidity in real-time.
- Improved environmental monitoring on construction sites by providing real-time insights, enabling proactive health & safety measures.
- Integrated a Telegram Bot to send real-time alerts and daily summaries directly to contractors, ensuring immediate action when dust levels exceeded safety thresholds.
Education
B.Tech - Industrial Internet of Things
Vivekananda Institute of Professional Studies - Technical Campus, GGSIPU
06.2027
Skills
- Python (ML)
- Java
- Django
- JavaScript
- Arduino
- Git
- SQL
- Docker
Hobbies and Interests
- Open-Source Contribution
- Analytics
- Web Application Development Trends
- Speaking at Universities
- Cloud Computing & DevOps Practices
- IoT & Robotics with Arduino
- Tech Blogging
- Chess
Timeline
Edge IoT & AI Intern
SourceArena
06.2025 - Current
Project Head
04.2025 - Current
B.Tech - Industrial Internet of Things
Vivekananda Institute of Professional Studies - Technical Campus, GGSIPU