Nijanth G

● Visiting Client places for Data Collection,Technical Support and Handling Client Issues.
● Annotating the collected data for training AI Model.
● Troubleshooting applications in Client places. Data collection as per requirement.
● Revising training data. Data segregation, Data preprocessing. Training the AI Model in GPU and
GCP(Segmentation). Inferencing the model and recording the Result. Testing the Model.
● Creating Generic Datasets.
● Handled clients for AI Automation Model with Schneider Electric, Tata Advanced Systems, Maini
Precision Products, TE - Connectivity.
● Working on a Product - Testing User Experience, Training Models.

<p>Visiting client places for data collection, technical support, and handling client issues.<br>
Annotating the collected data for training AI model.<br>
Troubleshooting applications in client places.<br>
Data collection as per requirement.<br>
Revising training data.<br>
Data segregation.<br>
Data preprocessing.<br>
Training the AI model in GPU and GCP (Segmentation).<br>
Inferencing the model and recording the result.<br>
Testing the model.<br>
Creating generic datasets.<br>
Handled clients for AI Automation Model with Schneider Electric, Tata Advanced Systems, Maini Precision Products, TE-Connectivity.<br>
Working on a product - testing user experience, training models.</p>

<p>Responsible for filing additional claims that are in a pending status until all the required information is received.<br>
Organized and reviewed medical claims for completeness and accuracy.<br>
Took appropriate action to ensure procedures are followed.<br>
Assisted Medical Claims Examiners in reviewing approved claims for payment, ensuring information is accurate.<br>
Filled out discrepancy sheets for Adjudicators to correct any misspelled information approved claims.<br>
Made appropriate system entries and verified accuracy.<br>
Ensured utilization of most up to date processes and procedures to update claims.<br>
Identified process improvements.<br>
Offered solutions to claim problems.<br>
Communicated recommendations to management.</p>

<p>Project Tannhaus – AI Machine Learning project that needs to annotate an image containing natural scenarios.<br>
Project Drogon – detecting objects lively from a satellite view.<br>
Project Reznikov – detecting objects inside a car with the driver while driving, including the driver's activities.<br>
Project Notre Dame 2D-OD – object detection process mainly used for automated driverless cars.<br>
Detection of traffic lights, traffic signs, nearby vehicles, pedestrians, and some more attributes.<br>
Project Skyhawk – segmentation process same as the previous project and some modified attributes used for automated driverless cars.<br>
Used tool – Playment GT studio.</p>