I am a solid state physics M.Sc. from University of Zürich with great understanding of theory and interest in applications of physics. My main interests are nanofabrication and quantum technologies. I am also experienced in programming and web technologies.
I have acquired skills in quantum mechanics of solid crystalline systems, quantum technologies and nanofabrication.
Symmetries and their handling via group theoretical concepts, electronic structure in crystals, insulators-semiconductors- metals, phonons, interaction effects, (un-)screened Fermi-liquids, linear response theory, collective modes, screening, transport in semiconductors and metals, magnetism, Mott-insulators, quantum-Hall effect.
Exact Diagonalization, Matrix Product States, and Quantum Monte Carlo methods
Quantum circuits, gate decomposition and universal sets of gates, efficiency of quantum circuits, quantum algorithms (Shor, Grover, Deutsch-Josza,..), quantum error correction, fault-tolerant designs, and quantum simulation.
Correlation and covariance, Error propagation, Hypothesis testing, Least squares fitting, Maximum likelihood method, Confidence and credibility
PyTorch library, Two-layer networks for regression and classification, (Stochastic) gradient descent and error backpropagation, Convolutional networks and deep architectures, Generative Adversarial Networks (GANs), Recurrent network architectures, Open-set classification networks
Quantum transport modeling, Bandstructure representation and effective mass approximation, Open vs closed boundary conditions to the Schrödinger equation, Comparison of the Wave Function and Non-equilibrium Green's Function formalisms as solution to the Schrödinger equation, Self-consistent Schödinger-Poisson simulations, Quantum transport simulations of resonant tunneling diodes and quantum well nano-transistors
I acquired subject-specific skills that are critical to a startup's success. I became familiar with the major challenges of a startup company and understood the challenges for entrepreneurs.
The thesis consists of fabrication of microelectromechanical systems (MEMS) in order to perform straining measurements on single walled carbon nanotubes and characterization of the quantum dot. The work consists of Finite Element Analysis simulations, fabrication of MEMS and quantum simulation of electronic transport over single walled carbon nanotube.
COMSOL Multiphysics is used to perform Finite Element Analysis simulations of the MEMS comb actuator. With FEM simulations, the chip was designed to perform straining motion on the carbon nanotube.
Utilizing IBM Binning-Rohrer Nanotechnology Center Cleanroom, the MEMS was fabricated. The fabrication process consists of Physics Vapor Deposition, Reactive Ion Etching, Deep Reactive Ion Etching ( Bosch Process) and Vapor HF etching for releasing of the MEMS. SEM and profilometer measurements were performed to check the quality of the MEMS.
Non-Equilibrium Green's Function (NEGF) transport simulations were performed to simulate the electronic transport over the carbon nanotube. After tight-binding model of the carbon nanotube was created, the NEGF transport simulations were performed. To simulate effect of straining on nanotube, tight binding model was perturbed with strain. Entire simulation was coded from scratch with python.
16 bit resolution divides the -10 +10 V range into 0.3 mV steps. Using a low pass filter, when two signals with 0.3mV difference is sent, the filter averages them to 0.15mV dividing the step resolution to two therefore increasing bit resolution by 1. This way it was shown that ADwin could send signals resolute down to 5 uV. This was done solely by coding ADwin block execution itself. Multimeter was controlled with python to collect data overnight.
Due to the inherent low pass filter at the output of the STM, amplitude attenuation and phase shift of the inputted high frequency signals can not be measured directly. This information is important because if a sharp pulse is applied to the STM, due to phase shifts the applied effective signal gets broadened and loses its true shape. At the point of the nonlinear I-V curveof the STM, two superposed sinusoidal frequency signals with one the double frequency of the other is applied. Due to the nonlinearity and averaging of the low pass filter, those signals' relative phase shift with respect to each other is encoded to amplitude which can be measured directly. For this Active Technologies Arbitrary Waveform Generator was programmed using python.
Written from scratch for the course "Computational Quantum Physics". Script uses Metropolis algorithm to compute the partition function of the 2D Ising Model, thus the average magnetization at given temperature.
Written from scratch with python numpy for my Master's thesis. Script generates the nodes of the nanotube of given chirality, determines neighbours of each nodes then applies the force gradient to each node at each time iteration step.
For my brother's pharmacy, I have developed a web scraper that tracks prices of medicine in several depots to notify the pharmacist. Used selenium webbrowser automation to scrape prices and stock availability of the medicine and send messages via telegram messaging api.
At the Start Global Hackathon 2025, we have developed a tool for the HVAC systems company Belimo that analyzes data of the HVAC system of a hotel and gives a sustainability score. This score is then used in booking websites to promote the hotel. I was responsible of understanding of the physics of HVAC systems in short time and prepare a code that analyzes the given energy consumption - heating - cooling - ventilation etc. data.