Dhanveer Kalsi
Co-Founder and Co-CTO @ Voltrack by Navstream Innovations Private Limited
About
As an Embedded Engineer with a knack to learn everything, I thrive on building solutions that help people and businesses turn their ideas into market ready products. Class B Medical devices, Smart home solutions, Automotive GPS trackers, Battery Management Solutions, Industrial Gateways are some of the solutions delivered into the market and are being mass manufactured. My expertise spans across various microcontrollers inlcuding STM32 F/L/WL/WB, ESP32 and ATmega32A. Whether it is Bare-Metal or an RTOS implementation, I have deep understanding of each and every concept. GSM, LTE, LoRa, BLE, WiFi, Ethernet, Modbus, CAN, OLED, LCD, Encoders, MQTTS, Websockets and RestAPI are some of the other things that I have considerable experience on. Got an Idea to discuss? Book a free call from the featured section or Visit ubyte.in to know more.
India
Delhi
Electrical & Electronic Manufacturing
Technology Leadership, Project Management, Embedded Software Programming, Software Consulting, NXP, AUTOSAR, UDS, Automotive, S32 Design Studio, ASIL, Amazon Web Services (AWS), Product Design, Product Development, Firmware, Embedded Devices, Electronic Circuits, Mqtt, AWS IoT, Internet of Things (IoT), Embedded Software
Experience

Co-Founder | Embedded Software Engineer | Project Lead
Faridabad
Complete Embedded Software and firmware development on Automotive, Medical and IOT products. Working extensively on NXP S32K1xx, NXP S32K3xx controllers, STM32L4xx, STM32WB55, STM32H7, RPI Compute Module. Providing quality and reliable firmware to companies in Indian, USA, UK and Germany.

Embedded Systems Engineer
Faridabad
Working on ESP32 Microcontroller. Collecting data through various RS485, Analog, I²C sensors. GSM based MQTT communication to AWS cloud. Sending the collected data to AWS Iot Core. Performing online firmware upgrades via GSM using AWS S3 bucket. Debugging hardware and solving problems as required. Using SPIFFS to store configurations and values Achievements: Optimised firmware based on C/C++. Over the air firmware upgrades via UART. Achieving 98% accuracy for analog sensor readings. Reduced MQTT data usage by 50% by making efficient data packets.
Education
Dhanveer Kalsi's Contact Information
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