Ritwij Aryan Parmar

Experience

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  National Institute of Technology , Patna

  Dec 2022 - Feb 2023

  Research Intern

  Conducted research on the automated diagnosis of pigmented skin lesions using the HAM10000 dataset, comprising 10,015 dermatoscopic images across diverse diagnostic categories. Developed and trained Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) to improve classification accuracy of skin lesion images. Applied data preprocessing and augmentation techniques to address the dataset's limited size and diversity, enhancing model generalization and robustness in diagnosing various skin conditions. Show less

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  LLMate

  Apr 2023 - May 2023

  Software Engineer

  Designed and developed Celery tasks and APIs to optimize the AI-powered chatbot’s backend processing, significantly reducing task execution time and improving data analysis efficiency. Implemented text-to-SQL capabilities, enabling users to generate complex SQL queries through natural language inputs, enhancing the chatbot's interaction capabilities with data, and improving user experience.

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  SalesCaptain

  Jun 2023 - Jul 2023

  Back End Developer

  Overhauled the CRM's conversation management system by designing and implementing the "Transferred Conversation" and "Assign To" features, optimizing interaction allocation and improving team collaboration. Redefined user roles and permissions, empowering business owners and administrators with enhanced control over conversation assignments. Reconfigured the backend API to support new features, resulting in improved platform functionality, streamlined workflows, and an enhanced overall user experience. Show less

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  Indian Institute of Technology, Bombay

  Jul 2023 - Aug 2023

  Research Intern

  The primary objectives of the internship were to conduct an in-depth literature review of the seminal paper "Regression Shrinkage and Selection via the Lasso" authored by Robert Tibshirani and to implement the Lasso regression technique on a synthetic dataset.

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  Tata Elxsi

  Jan 2024 - Jun 2024

  ADAS/AD Dev Engineer

  Migrated an autonomous driving software stack from ROS1 to ROS2, incorporating the CARLA simulator for extensive validation. Developed the Vehicle State Estimator (VSE) using Kalman filters for accurate vehicle state prediction based on sensor data, ensuring real-time reliability. Implemented the Global Route Planner (GRP) in ROS2, integrating the Open Source Routing Machine (OSRM) for efficient route calculation and GPS-based navigation.