Who am I?
I am an M.Sc. physics candidate at Ruprecht Karls University of Heidelberg. I specialized in computational high-energy physics, with experience in developing FPGA-based detector algorithms and real-time data processing systems. In my master's project, to address the challenge of real-time particle track fitting in the HighLumi LHC environment, I developed a high-throughput HLS-based FPGA prototype of the General Triplet Track Fit algorithm on an AMD Alveo U280 platform.
Dual life: During my part-time role as a machine learning engineer at SAP, to address the critical need for an intelligent documentation assistance to prevent bug issues, I used Flask APIs to develop Anonymized Agentic Multimodal Retrieval Augmented Generation (RAG) pipelines for large-scale data processing. For a conversational AI experience, a working prototype as a SlackBot has been deployed on Cloud Foundry.
Currently, I am seeking a PhD position, bringing with me the rich industry and academic experience I have gained over the years to contribute to groundbreaking research in high-energy physics. Curious to know more? Feel free to contact me below!
Main Research Areas
- High Energy Physics
- Charged Particle Track Reconstruction
- Accelerated Computing
- Machine Learning in Physics
My Projects
- HLS-Based FPGA Implementation of the General Triplet Track Fit Algorithm for Real-Time Particle Tracking
- Charged Pion Lifetime and Branching Ratio Measurement at Paul Scherrer Institute
- Charged Particle Production in Xe+Xe Collisions 2017 Data Analysis
- Underwater Neutrino Detector Calibration System
- LSF and MTF Measurement
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- Simulation of Rutherford's Alpha Scattering Experiment
- Number of Accessible States for Boson Particles
- Blackbody Radiation
- Lissajous Curves
- Simple Pendulum
- Projectile Motion
- Free-Fall Motion
Publications
Talks & Presentations
Lecture Notes
- Machine Learning
- Computational Statistics & Data Analysis
- Standard Model of Particle Physics
Birdwatcher's Journal
