Srikanth K.

Working as Senior Software Engineer in Innobox Systems with an overall experience of 8 years with 1.5 years in developing various Machine Learning/ Deep Learning models using python and 6.5 years of extensive experience in IOT end-to-end solutions with 5 months On- site experience in Australia. 1. Hands-on experience in performing statistical analysis, predictive modeling, supervised ML, un-supervised ML, Regression, Support vector machine(SVM), Decision Tree, Random Forest, Ensemble Techniques. 2. Experienced on Open CV to identify real-time human actions, use image transformations and develop solutions as per requirement. 3. Experience on transfer learning techniques using EfficientnetLite0 – Lite4 and other architectures like ResNet and Inception net. 4. Expertise in building object detection models using YOLO v3, classification models using Convolutional Neural Networks(CNN) 5. Significant experience with Tensorflow, Scikit-Learn, NLTK, Scipy, Numpy, Pandas, Exploratory Data Analysis. 6. Worked on GPU boards like Raspberry Pi for building deep learning models 7. Basic deployment experience using docker. 8. Expertise in Microcontrollers, Microprocessors, Sensors, big data, and cloud platforms. 9. Design and oversee development IoT platform ecosystem including edge sensors, gateways, aggregators and actuators, mesh networks, IoT cloud services such as data ingestion, device provisioning, analytics and orchestration. 10. End to end solution architecture according to customer requirements specification. 11. Review, contribute to end-to-end testing strategy of IoT solution. 12. Develop system test plans, prepare test scenarios, test cases, and test scripts. 13. Understand business requirements and design. 14. Rapidly fix bugs and solving problems. 15. Ability to learn and ramp up quickly on emerging technologies. Played a very prominent role in the Telstra-Vantage Expo – 2019 at Melbourne, Australia to exhibit the latest IoT Applications & solutions from Cyient. Hands on experience with constrained devices such as Arduino UNO R3, Nano, Arduino Mega, NodeMCU, ESP-32, Raspberry Pi (All Versions), LinkIt ONE, LoPy, Intel Galileo. Define technical requirements and specifications for IoT platforms (communication devices, embedded software, edge computing, cloud computing) I have good knowledge and experience in IoT Domain/ IoT Technologies. I have good knowledge and experience in various Low Power RF Wireless Technologies / Protocols like NB-IoT, Cat-M1, ZigBee, Lora, Wi-Fi, Bluetooth, GSM, GPRS, BLE, etc., Programming Languages & Tools: Expertise in Embedded C, Working Knowledge on Python, Arduino IDE (Embedded C), MIT App Inventor, Python, and Micro Python, Anaconda and Jupyter Notebook. IoT Platforms: Amazon Web Services (AWS), Microsoft Azure, IBM Bluemix, Ubidots, Thingspeak, Carriots, [login to view URL]. Machine Learning: Having Knowledge on Machine Learning and some of inbuilt libraries Like Pandas, Numpy, TensorFlow, MatplotLib, Seaborn.