Stefan Talpa

Experience

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  Secret Valley Golf Course

  Jun 2019 - Jul 2019

  Assistant To Chief Executive Officer

  Created a business requirement document for increased optimization through shadowing all aspects of the businessManaged major company events (3000 people Special Ed Golf Olympiad)Analyzed seasonal income to identify sectors lacking in customer satisfaction and low churn rates.

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  Inter Business Partner

  Jun 2020 - Jan 2023

  Enhanced performance of the company through developing a quantitative model to identify signals of the customs market, automizing the declaration-creating process, and analyzing large company datasets.Statistically analyzed world supply chain data to identify countries to work with, increasing client flow by 25%.Implemented an algorithm to reduce the declaration-creating process by almost 50%, doubling annual profit. Deal with analytical tasks related to programming and mathematics

  • Quantitative Researcher

    Jun 2021 - Jan 2023

  • IT Analyst

    Jun 2020 - Jun 2021
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  Georgia Institute of Technology

  Jan 2022 - May 2023

  ◦ Developed optimization software using Qiskit and Game API, to enhance quantum circuits from quantum assembly files◦ Amplified neural network accuracy through reduction of circuit noise on abstract architectures using LSTM to select optimization steps.◦ Assisted in the invention of a more efficient noise estimation function for circuits, reducing the error by 60%. ◦ Implemented Pytorch version of Complex-Valued Neural Network (CVNN) and tested it on MNIST FFT data◦ Generalized the toy ConvNet architecture to the ResNet architecture◦ Performed unstructured pruning over ResNet version to achieve comparable performance Performed analysis of mathematics behind CGD anddeveloped a more powerful numerical model, which can be used for complex optimization problems likecyber-physical attack prevention, pairs trading, and 2-player game theory problems.

  • Student Researcher - Center for Research into Novel Computing Hierarchies

    Aug 2020 - May 2023

  • Student Researcher - Software/Hardware Co-Design for Intelligence and Efficiency Lab

    May 2022 - Aug 2022

  • Undergraduate Researcher - Machine Learning

    Jan 2022 - May 2022
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  Imperial College London

  Jun 2022 - Aug 2022

  Quantum Machine Learning Engineer

  ◦ Improved on current medical image processing techniques, using Quantum-Classical Transfer Learning. Used a 10,000image sample for training and benchmarking.◦ Implemented Pennylane and Qiskit for more optimal computation of quantum gradients and compatibility with Pytorch.◦ Developed a model that recognises COVID-19 thought CT scans with 96% accuracy.

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  QWorld

  Jun 2023 - Aug 2023

  Quantum Cryptography Researcher

  ◦ Investigating the intersection of neural networks and encryption techniques in the quantum setting to develop novelquantum cryptosystems utilizing quantum neural networks◦ Developing a reinforcement learning agent for quantum circuit optimization using GANs◦ Conducted research to explore the utilization of quantum cryptography to support the confidentiality of neural networks

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  Rebellion Research

  Jul 2023 - now

  Quantitative Researcher

  ◦ Developed a predictive model to forecast electricity price spikes based on the paper ”Electricity Price Spike Predictionvia Boosting Trees and Wavelet Analysis” using the PJM interconnection electricity price dataset.◦ Utilized nondecimated wavelet transform to decompose time-series data, capturing significant patterns and anomalies foraccurate spike prediction.◦ Implemented and fine-tuned Gradient Boosting Machines to predict price spikes, achieving a 15% improvement inaccuracy over ARIMA models and reducing mean absolute error from 12.5 to 9.6.◦ Integrated weather conditions and market demand into the model, enhancing robustness and real-world adaptability. Show less