Rahul Vishwakarma

• Created an algorithm to detect the tightness of the bounding box drawn around an object • Trained & deployed Fire & Smoke Detection deep learning model on the live streaming images or videos • Worked on a solution to detect the label over the carton box • Performed supervised learning to develop & deploy predictive model with an accuracy of 95% on the client premise • Performed unsupervised learning to develop & deploy 20 models, all of them are running in parallel • Worked alongside with one of the giant defence company to give the required solution which helped Flutura to win the Innovation for Defence Excellence iDEX challenge at Start-up Manthan 2021 under the Predictive Maintenance category • The work that we have done for the defence company, has actually opened the doors for Flutura into the Indian Defence Sector market to fly high • Dealt client to make them understand the robustness of the provided solution • Successfully implemented unsupervised learning technique for one of our customers to group the oil wells and score them based on their performance which helps the field operator to save time by moving to the exact well and fine tune it • Successfully developed & deployed a predictive model on field with an accuracy of 98% which is helping the company to generate large revenue from the client till date • Developed & deployed an algorithm which detects the anomalous pattern of the data and hence helping the field operator to monitor the assets • Solely developed a Restaurant chat bot for one of our clients using Dialog Flow NLU Framework

• Created the product architecture for Object Detection Tool product • Created the entire Data Processing Pipeline for one of the company's product • Created architecture for Deep Learning Engine Framework • Created architecture for Machine Learning Model Deployment Framework • Extensive work experience of working over OpenTSDB, Redis & Postgres databases • Used Docker based containerization solution to develop one of the company's product feature

• Currently leading the team on the line of Object Detection Tool back-end APIs creation • Solely created the back-end project architecture of Object Detection Tool • Lead the team and worked alongside to create a Deep Learning Engine Framework • Worked along with the other team member to automate the Machine Learning model deployment process, hence developed a Machine Learning Model Deployment Framework end-to-end which saves company's time, money & resources by almost cutting it down to 30% • Currently almost 60 Machine Learning Models are running with the help of the developed framework • Created REST APIs end points for using Python as back end and Django MVT Python Framework • Extensive experience of working on the Redis, OpenTSDB, Postgres database

• Solely developed & deployed a chat bot which helps in monitoring the assets on the field and hence helping the company to manage the human resource efficiently • Reduces the developers time to assess the Root Cause Analysis • Uses Dialog Flow Framework as Natural Language Processing engine, python as back end, Django for creating APIs end points & Angular as front end • Delivered a full-fledged chat bot to one of our clients in just 1 week thus making our company to win the client

• Worked on the Java & Spring Framework for creating REST API end points • Worked on oracle database • Implemented Spring security in one of our company's product • Successfully developed & deployed an entire web application in just 4 months thus helped the company in terms of revenue generation