Rajat Agrawal

Berufserfahrung von Rajat Agrawal

• 2 Monate, Dez. 2023 - Jan. 2024

  Web Developer

  self-emloyed

  Browser Extension Development with JavaScript The development of a dynamic browser extension using JavaScript, HTML, and CSS, elevating user browsing interactions to new heights. Engineered a seamless integration of the cutting-edge ChatGPT API, resulting in a captivating user experience that bridges AI capabilities with real-time browsing. Transformed project objectives into reality, effectively combining technical expertise and creative problem-solving to meet client requirements and exceed expectations.

• 2 Jahre und 1 Monat, Nov. 2021 - Nov. 2023

  Research Assistant

  Max Planck Institute for the Physics of Complex Systems

  Calculating the number of local minima on the 2D surface while excluding saddle points, 1) Engineers an efficient algorithm utilizing NumPy for array manipulation and SciPy for general functions. 2) Employed Numba to optimize code execution, leveraging parallelization for increased speed. 3) Developed a user-friendly interface with Matplotlib for data visualization and interaction and utilized Pandas for dataset reading and manipulation.

• 6 Monate, Apr. 2021 - Sep. 2021

  Freelancer

  Self Employed Freelancer

  Develop a responsive web application using Angular, HTML, CSS, and JavaScript 1) Implemented an Agile development approach, emphasizing iterative development, collaboration, and adaptability to client needs. 2) leveraged version control with Git for efficient code management and collaboration within the development team. 3) Utilized SQL for database integration, enabling data storage, retrieval, and management within the web app.

• 1 Jahr und 7 Monate, Aug. 2019 - Feb. 2021

  Research Scientist

  Max Planck Institute for the Physics of Complex Systems

  Trajectory of atoms in 3D while all atoms interact, and this interaction depends on the distance between them. 1) I developed an efficient 3D atom trajectory simulation in Python, integrating advanced techniques such as interpolation for 2D potential surfaces and solving differential equations for atom dynamics. 2) Leveraged key Python libraries: NumPy for array manipulation, Matplotlib for visual representation, and SciPy for general functions.