Sanyam Bhawsar Email & Phone Number

Hyderabad, Telangana, India

Indore, Madhya Pradesh, India

During my tenure at Robro Systems Pvt. Ltd, I initially served as an AI Engineer, where I delved into the intricacies of artificial intelligence and its applications. Later transitioning to a Research & Development Engineer role in August 2021, I took on broader responsibilities. I successfully deployed over 18 end-to-end machine vision systems across India, collaborating with diverse industrial machine vision cameras. My proficiency in managing and optimizing the Kiara setup led to an efficient 1-hour deployment process for various pipelines. I've developed microprocessor-based POCs for over 25 projects and provided technical support for 20+ projects pre-standardization. Utilizing tools like GCP Looker Studio, I've crafted data-driven dashboards to drive informed decision-making. My technical skills extend to designing and deploying applications using NVIDIA Jetson Nano and Xavier SOC boards for industrial use. Engaging directly with clients, I've tailored solutions across sectors such as food, pharma, and agriculture. Furthermore, I've conducted extensive industrial visits to understand and address specific challenges and requirements.

Indore, Madhya Pradesh, India

Indore, Madhya Pradesh, India

At ROBOTRONIX Engg. Tech. PVT. LTD., I served as a Project Engineer, where I led and contributed to projects focused on embedded systems, IoT, and PCB development. My role involved working with microcontrollers like ESP32, ESP8266, 8051, and Raspberry Pi. I gained hands-on experience in communication protocols such as MQTT, I2C, UART, and SPI, and was actively involved in debugging and testing production line PCBs. Throughout my one-year tenure, I successfully completed 7 key projects, demonstrating my commitment to technical excellence and continuous learning in the engineering field.

Indore, Madhya Pradesh, India

Project Title: Quality evaluation of grain & oilseed for processing.Category: Agro-based industry project.Project Description: the online machine learning-based anomalies detection system can give thepercentage of anomalies present in the desired samples and calculate the grade of the correspondingsamples which we are tested we make this for soybean seeds only.Technologies & Tools: Embedded System, Raspberry Pi, Arduino, ML (Machine learning), Python

Indore, Madhya Pradesh, India

During my internship, I had the opportunity to collaborate on the design and development of a prototype for a vending machine movement mechanism. I also gained hands-on experience working with a variety of communication protocols, integrating diverse sensors, and configuring actuators to optimize functionality and performance. This valuable experience enhanced my technical skills and provided me with practical insights into the field of automation and control systems.