Jayash P.-AI Trainer/Freelancer
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Experience
AI Trainer/Freelancer
Micro1.ai
- Domain specific training data validation, annotation and critically assess AI-generated responses.
Postdoctoral Researcher
Paris Research Institute of Chemistry (IRCP) / PSL Chimie Paristech
- Developed the time-resolved spectroscopy setup for characterizing NV– ensembles for its quantum coherence properties (pulsed ESR/ODMR, Rabi, T2, T*) and studied and optimized the implanted diamond nanostructures.
- Developed the high resolution spectroscopy setup for characterizing quantum coherence properties using spectral hole burning and two-pulse photon echo techniques, optimizing for spin-photon interfaces built with nanostructures.
- Automated acquisition and analysis using Python and MATLAB, including calibrations and data traceability.
- Collaborated closely with electronics, software, and mechanics teams.
Doctoral Researcher
Strasbourg Institute of Physics and Chemistry of Materials (IPCMS)
Studied the charges and spins dynamics of iron oxide thin films across the Verwey transition temperature using temperature-dependent time-resolved ultrafast pump-probe techniques.
Characterization of iron oxide thin films using Raman spectroscopy, XRD, SQUID magnetometry, and MOKE techniques.
First demonstration of laser-induced phase transition with charge dynamics and characterization of electron-lattice interaction across Verwey transition in Fe3O4 films.
First demonstration of laser-induced ultrafast demagnetization across Verwey transition in thin Fe3O4 films showing enhancement of spin-lattice interactions near the transition.
Master-2 Thesis
Interdisciplinary Carnot Laboratory of Burgundy (ICB)
- Achieved fast and accurate quantum gates by using adapted external control fields and composite pulse techniques to ensure robust control of the qubit system in superconducting circuit implementations without unwanted transitions.
- Implemented robust quantum gate operations by optimizing the phases of the constituent composite pulses to make the phase control robust.
Theoretical Researcher
National Institute of Technology Rourkela
- Conducted a theoretical study of Bose–Einstein condensates in optical lattices and their experimental signatures by calculating eigenvalues of the Hamiltonian in harmonic traps inside an optical lattice using the Bogoliubov approach.
Summer Intern
Laboratory of Physics of Ionic Interactions
- Studied high-finesse cavities for laser stabilization by analyzing Fabry–Perot cavities and deducing finesse from Pound–Drever–Hall error signals with experimental data.
Summer Intern
Indian Institute of Science
- Worked on saturated absorption spectroscopy of rubidium atoms by measuring Doppler-broadened absorption profiles of the D2 transitions at 780 nm and improving resolution beyond the Doppler limit to measure nuclear hyperfine splitting.
Industry experience
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Experienced in Education, Information Technology, and Chemical.
Business area experience
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Experienced in Research and Development.
Summary
Quantum optics experimentalist (PhD) who specifies, designs, prototypes, and validates high-precision optical measurement systems. Built and tuned ultrafast pump-probe, quantum-coherence, and time-resolved ODMR/ESR spectroscopy setups. Works across optics; lasers (VIS/NIR/IR); electronics; software; cryogenics; mechanics to improve stability/noise, codify control test protocols and drive automation. Tools: Python/MATLAB for modeling/simulation (digital twins with Python/QuTiP) and instrument control.
Skills
Experimental
- Femtosecond Lasers
- Quantum Optics
- Ultrafast Magneto-Optics
- Low Temperature Physics
- Pump-Probe
- Cryogenics
- Magnetometry (Moke/Squid)
- Optical Parametric Amplifiers
- Metal-Insulating Transitions
Simulation
- Optimization
- Partial Differential Equations
- Macro-Spin Dynamics
- Quantum Computation
- Optimal Quantum Control
Data Analysis & Control
- Igor Pro
- Python
- Origin Pro
- Matlab
- Mathematica
- Labview
- Zemax
Programming
- Python
- Matlab
- C++
- Qiskit
- Pennylane
- Pytorch
Languages
Education
University of Strasbourg
PhD in Condensed Matter Physics · Condensed Matter Physics · Strasbourg, France
University of Burgundy
M.S. in Physics, Photonics & Nanotechnology · Physics, Photonics & Nanotechnology · Dijon, France · 13.138/20 | Honours: Good
National Institute of Technology
Integrated B.Sc. + M.Sc in Physics · Physics · Rourkela, India · 6.58/10 | Honours: First Class
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Jayash is based in Palaiseau, France.
Jayash speaks the following languages: English (Advanced), French (Advanced), Hindi (Advanced), Oriya (Advanced).
Jayash has at least 10 years of experience. During this time, Jayash has worked in at least 6 different roles and for 7 different companies. The average length of individual experience is 1 year and 5 months. Note that Jayash may not have shared all experience and actually has more experience.
Based on recent experience, Jayash would be well-suited for roles such as: AI Trainer/Freelancer, Postdoctoral Researcher, Doctoral Researcher.
Jayash's most recent position is AI Trainer/Freelancer at Micro1.ai.
In recent years, Jayash has worked for Micro1.ai, Paris Research Institute of Chemistry (IRCP) / PSL Chimie Paristech, and Strasbourg Institute of Physics and Chemistry of Materials (IPCMS).
Jayash is most experienced in industries like Education, Chemical, and Information Technology.
Jayash is most experienced in business areas like Research and Development.
Jayash has recently worked in industries like Education, Chemical, and Information Technology.
Jayash has recently worked in business areas like Research and Development.
Jayash holds a Doctorate in Condensed Matter Physics from University of Strasbourg, a Master in Physics, Photonics & Nanotechnology from University of Burgundy and a Master in Physics from National Institute of Technology.
The availability of Jayash needs to be confirmed.
Daily rate distribution
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Average rates for similar positions
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The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 7 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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