Name: Dinkar Patnaikuni
Profile: Founder @crazyrobotics.com
Email: support@crazyrobotics.com
Phone: (+91) 9421068108
Skill
Hardware Design 70%About me
As a Research Associate in Electronics Engineering, I possess a diverse skill set in both hardware and software. I am particularly interested in sensor modeling and rapid prototyping, and my goal is to find the most efficient engineering solutions possible. I am highly organized and capable of contributing my expertise to various processes and applications, including designing, testing, troubleshooting, and modifying hardware solutions. With over a decade of experience in thought processing, experimentation, and prototype design, I have successfully resolved engineering problems for a variety of clients. As a technology evangelist and product lead, I specialize in IoT and ML operations and have adept knowledge in planning, designing, prototyping, testing, and translating prototypes into production-grade solutions. I gain valuable insights from logs and profit management to optimize solutions.
Furthermore, I have experience in building teams from scratch to achieve specific application goals and deadlines. I am also proficient in using basic data science libraries such as Numpy, Pandas, Matplotlib, and Exploratory Data Analysis. Additionally, I have expertise in establishing continuous integration and continuous development pipelines using AWS services. I can optimally architect complex IoT/ML requirements using AWS services such as EC2, IAM, S3, Kinesis, Athena, Glue, VPC, Kinesis, Airflow, and more. I am an expert in architecting efficient IoT solutions from scratch and have a proven track record of providing novel solutions to unique problems at hand, with a 100% client satisfaction rate.
Do contact me to get your corporate engineering problems resolved.
Services
Let's Think, Design, Deploy, Manage and Transform Ideas Into Reality
Design
I provide application specific approach in delivering experiences to users with respect to IoT ecosystem that the client desire with utmost satisfaction. A strong cloud architecture which refers to the different modules that make up each organization's system for cloud computing and data processing and helps ease the transition of data through new IoT technologies.
Connect
I use enterprise ready (AWS) IoT Platforms to build, deploy and manage connected assests efficiently. A device configuration is an arbitrary user-defined blob of data sent from Cloud IoT Core to a device. The data can be structured or unstructured. It can also be of any format, such as arbitrary binary data, text, JSON, or serialized protocol buffers. Device configuration is persisted in storage by Cloud IoT Core.
Analyze
Using AWS IoT Analytics the difficult steps that are required to analyze data from IoT devices is automated. I help in filtering, transforming and enriching any formof data thereby making it easier to get started with machine learning by including pre-built models for common and custom use cases.
Manage
By combining development and operations I help individuals and organizations to develop and maintain sustainable work practices by using DevOps and also setup and support continuous integration (CI) and continuous delivery (CD) practices. These tools and practices include source code managers (such as Git or AWS pipelines)
Configure
This is offered by releasing deployments to servers, scheduling updates on all servers and most importantly keeping the configurations consistent across all the servers. Also the best practices for device configuration within an IoT solution are imbibed.
PCB Design
The design of an IoT device requires proper evaluation and the right selection of three key factors: sensors, wireless connectivity and power management. The printed circuit board, which must be able to support the functionality offered by these components, requires a different design approach than the conventional one. These key aspects that affect the design of an IoT PCB are delivered with optimum care.