15+ years delivering complete solutions from edge devices to cloud platforms. Specializing in STM32, ESP32, Raspberry Pi, and ARM Cortex-M with expertise in TinyML deployment, real-time systems, and industrial IoT integration.
IoTantra Technologies LLP is an embedded systems and Industrial IoT solutions provider based in Hyderabad, founded and led by Karthik Suryadevara. With 15+ years of hands-on experience in firmware development, sensor integration, and real-time systems, I deliver complete, field-tested solutions from concept to deployment.
Every project is founder-led with direct technical involvement throughout — from architecture and firmware development to system integration and field deployment. You work directly with me, not a team of juniors or offshore contractors. This approach ensures technical depth, accountability, and solutions that work reliably in real-world industrial conditions.
Projects span manufacturing, healthcare, environmental monitoring, and financial services — delivering turnkey systems that integrate seamlessly with existing infrastructure and meet regulatory requirements.
Full-stack embedded development from hardware bring-up to cloud integration
Custom firmware for STM32, ESP32, ARM Cortex-M platforms. Real-time operating systems (FreeRTOS, Zephyr), bare-metal implementations, sensor integration, and data acquisition systems. Power-optimized designs for battery-operated and industrial applications.
TinyML model deployment on microcontrollers and edge devices. Computer vision for inspection systems, anomaly detection, predictive analytics. Real-time inference with sub-50ms latency using TensorFlow Lite, optimized for resource-constrained environments.
Equipment connectivity and monitoring systems. Predictive maintenance, condition monitoring, and data pipelines. Experience with cleanroom environments, regulated industries, and compliance requirements including CFR Part 11 validation.
WiFi, Bluetooth Low Energy, LoRa, cellular (4G/LTE), Ethernet, RS485/Modbus RTU. Secure data transmission with TLS/SSL, encrypted payloads, and authentication. Gateway development for protocol conversion and edge processing.
End-to-end integration from embedded devices to cloud platforms. REST APIs, MQTT brokers, time-series databases (InfluxDB, TimescaleDB). Dashboard development, alerting systems, and remote device management. Experience with AWS IoT, Azure IoT, and private cloud deployments.
PCB design review, sensor selection, power management, and EMI/EMC considerations. Schematic review, BOM optimization, and manufacturing support. Experience with industrial-grade components and environmental hardening.
Practical, field-deployed systems across multiple industries
Equipment monitoring, predictive maintenance, and production line automation. Vibration analysis, thermal monitoring, and machine vision for quality inspection. Integration with SCADA systems and MES platforms.
Cleanroom environmental monitoring, equipment validation, cold chain monitoring. CFR Part 11 compliant systems with audit trails, electronic signatures, and validated protocols. Experience with pharmaceutical manufacturing and regulated environments.
Smart grid monitoring, substation automation, renewable energy systems. Power quality analysis, load forecasting, and fault detection. Integration with existing SCADA infrastructure and DNP3/IEC 61850 protocols.
Water quality monitoring, aquaculture pond management, air quality sensors. Multi-parameter sensor integration (pH, DO, temperature, turbidity). Solar-powered remote stations with cellular connectivity and local data logging.
Payment terminal integration, ATM monitoring, IoT security implementations. Real-time fraud detection using edge AI. Secure communication protocols and tamper detection for financial transaction devices.
HVAC optimization, energy management, occupancy sensing. Building automation system integration (BACnet, Modbus). Real-time analytics for energy efficiency and predictive maintenance of building equipment.
IoT device architecture for pharmaceutical cleanroom monitoring. Wireless sensor network with CFR Part 11 compliance, real-time alerting, and validated data integrity. Multi-parameter monitoring across 50+ locations.
Embedded system bridge for scientific instrumentation. Wireless connectivity solution with mobile device support and field deployment capabilities. Custom protocol implementation for specialized equipment.
Edge AI-based Anti-Money Laundering detection for ATMs and payment terminals. Real-time fraud detection using machine learning models on Raspberry Pi. Cost-effective alternative to enterprise AML solutions for regional banks.
Multi-parameter water quality monitoring for fish/shrimp farming. Solar-powered remote stations with cellular connectivity. Real-time alerts for critical parameters (DO, pH, temperature) with predictive analytics.
Share your project requirements, technical challenges, or ideas — I'll respond within one business day with an initial assessment and approach. All projects are founder-led with hands-on technical involvement from start to finish.