Pranav Sateesh Email & Phone Number

Zurich, Switzerland

•Developing the PLAN application suite for running traffic simulations, with a nodejs frontend and Django API to handle SUMO traffic simulations. Used to maintain and develop traffic strategy for multiple European cities. Database management using postgresql and developing architecture for application and supporting tools. •Maintaining and deploying assets, including CI-CD, HTTPS and application usage data collection. Active consideration for latest deployment technologies and architecture planning for scaling of application with Kubernetes and data-lakes.

Bengaluru, Karnataka, India

• Spearheaded the development of advanced mathematics for optimization and precise control of 3D models on the web application of BQP (BosonQ-PSI). Leveraged expertise in Three.js to create cutting-edge solutions.• Provided strategic guidance and conducted in-depth research to develop format conversion tools in C++, Python, and Three.js. Successfully enhanced 3D model rendering efficiency by reducing memory usage by 25% and achieved a remarkable 10% increase in rendering accuracy.

• Developed and rigorously tested quantitative models utilizing Python libraries, demonstrating a strong aptitude for implementing robust strategies.• Designed and executed comprehensive backtests for long-short, market-neutral strategies, showcasing exceptional analytical skills and a deep understanding of financial markets.• Conducted extensive research and authored white papers on various trading strategies and market behaviors, offering valuable insights into asset classes such as commodities, bonds, and equities in global markets spanning the US, Japan, Europe, and emerging markets.

Greater Kolkata Area

• Applied technical and fundamental indexes to develop and model both long and semi-long strategies for proprietary trading in the US markets, displaying a keen eye for detail and a strategic mindset.• Employed advanced data mining techniques, including backtesting and employing Numpy, Pandas, Modin, Multiprocessing, and Plotly, to optimize short-term strategies.• Leveraged RNNs and LSTM to fine-tune strategy parameters using TensorFlow and Keras, leading to significant performance improvements.

Chennai Area, India

1. Working on Spin Echo signal simulations on QuTip (Quantum toolbox in python) and its application for analyzing Hahn Echo signals, Rabi Oscillations under Professor Praveen Bhallamudi, Physics Department, IIT Madras.2. Working on my Bachelor's Thesis on Non-Linear control of quantum defects for application in quantum computing

Chennai Area, India

Worked on simulating quantum systems namely, Jaynes-Cummings model and also analysis of NV-Centers using QuTip (Quantum toolbox in python) under Professor Praveen Bhallamudi, Physics Department, IITM.

Bengaluru, Karnataka, India

• Pioneered the development of cutting-edge 3D model loaders using web assembly and Rust, resulting in significantly faster loading times compared to traditional ThreeJS loaders.• Engineered a highly efficient deployable model format conversion tool, leveraging a sophisticated vertex reduction algorithm implemented in C++.• Demonstrated expertise in image processing and pathfinding algorithms, developing proprietary software for circuit analysis. Played a vital role in CI/CD, AWS deployment, and web-based machine learning model development using TensorFlow.js.• Proficiently handled frontend tasks utilizing Angular, React, HTML, CSS, and Three.js, along with backend development using Node and Django frameworks.

• Devised proprietary algorithms utilizing OpenCV and Numpy to estimate costs from floor-plan images, streamlining the estimation process with accuracy and efficiency.• Redesigned and optimized component matching pipeline, resulting in a 66% reduction in detection time and transforming it into a user-friendly no-code process with a sleek GUI.• Skillfully handled frontend tasks, leveraging Angular, React, HTML, CSS, and Three.js to enhance user experiences.

Chennai Area, India

• Developed comprehensive mathematical models using Python (Numpy, Scipy) and MATLAB to analyze fluid droplet dynamics in different mediums, showcasing strong problem-solving abilities.• Investigated the dynamics of fluid droplets utilizing PDE solvers, making notable contributions to the field of fluid mechanics.• Leveraged mathematical models to explore the Landau-Lifshitz formula, delving into the fundamental aspects of material science.

Master Of Science - Ms, Computational Science

Bachelor Of Science - Bs, Physics

Education record