Technologies : Python, C++, Java, Javascript (Vue JS), Docker, Celery, FastAPI, Industrial communication protocols, Shell scripting, Elasticsearch, Redis and SQL Databases 

Implemented independent parallel processing of prediction scripts using celery, redis DB and FastAPI on multiple hosts for ei3 Connected AI functionalities.

 Integrated RedisDB bridge into high traffic database intensive application to reduce API processing times by 80% for all requests. 

Worked on a Sound and Vibration data collection, transformation, transmission and Visualization feature for ei3 Symphony. Developed IOT Data collection, transmission, Processing and visualization(API and UI) features. 

IIntegration Testing with docker and Pytest for IOT collectors that resulted in testing 100% of collectors from 0%. 

Developed an OPCUA Data Simulation Server to locally perform integration tests on the Ei3 on-device IOT modules. 

Technologies: Java (Spring Boot, Microservices),C++,JS(Ember), Elastic search & PostgreSQL. 

ManageEngine Log360 (cloud security SAAS product): Implemented Archive Management features resulting in significant reduction in processing time to retrieve (manually) from 5 mins(approx.) to 2 secs(automated) with Elasticsearch for Windows and Unix/Linux logs.

 ManageEngine Eventlog Analyser(cloud security SAAS product) : Worked on the optimization of Log Collection and processing features which includes developing a custom high performing collector (~20000 to ~45000 logs/sec) for high traffic clients. 

Developed a Lead Generation and Tracking tool with Website Logs and CRM Data to process 1000s of logs per second and preprocess it for analytics.