Developing and maintaining kernel-level features and access point wlan drivers.

Robotics Engineer, Supply Chain Automation• Successfully designed and tested April tag decoder, closed-loop homing mechanism, and keyboard teleoperation for Udaan Vahan, an autonomous warehouse pick and place robot.• Explored high-performance serialization Protobuf and Cap’n Proto for robot communication with fleet management.• Deployed cronjobs to collect and rotate logs from warehouse profiler hardware which improved data collection and eliminated system crashes due to storage overflow.Backend Engineer, Udaan Catalog• Designed web servlets, clients, and test cases for the Udaan Catalog trade listings linked to the Azure SQL database.• Successfully migrated legacy trade listing APIs from Java to Kotlin, improving overall performance.

Team Tiburon is a multidisciplinary team that works towards designing and developing an AUV (Autonomous Underwater Vehicle) capable of performing a plethora of tasks all without a human pilot. I have implemented object detection and SLAM for perception and navigation stack.

The official Automation and Robotics club of NIT Rourkela. Which has several projects under it ranging from Autonomous Drone, IGV (Intelligent Ground Vehicle), room automation and many more. Worked on several team projects including IGV and Drone, organized several robotics competitions during TechFests.

Designed an AI-powered voice-enabled dialogue management system that is capable of querying across multiple tables in a database using Wit.ai based natural language processing and google voice API.

Worked with AiBorne Tech team, developing AI and computer vision driven solutions for vehicle damage assessment:1. Worked on preprocessing pipeline for image enhancement and noise removal.2. Trained Deep learning models with transfer learning approaches for image segmentation, classification, and detection. Worked on hyperparameters to tune the model as per the vehicle damage dataset.

Machine Intelligence and Bio-Motion Lab:Guided by Dr. Anup Nandy* Developed a Full lower body control to balance the NAO Humanoid Robot using the Joint Angle Control approach. * The system incorporates robustness and a feasible approach to humanoid robot gait research.

Developed an efficient resume parser to automate the process of resume shortlisting and ranking based on candidate's skills and experience. I have implemented name entity recognition and various NLP and Machine Learning approaches.