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Chemist (химик), game presenter (ведущий игр)

Russia, Ufa city
Added: 04.04.2026
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Location:

Russia, Ufa city

Birthday date:

13/04/2002

Experience level:

3-5 years

Education level:

Bachelor

Languages:

Russian: Native

English: B2

About

Hello! My name is Iaroslav (Ярослав), I’m 23, almost 24 y.o. I’ve always been captivated by game broadcasts and presenters who didn’t just make the games drag on tediously, but managed to make them entertaining and full of humour! I was born in Russia and am a native speaker; my English is also quite good, at around B2/B2+ level. As for the working hours, 40 hours a week is still less than I work in the lab, so I’m ready to work! As for professionalism and discipline, there are no issues there. I am a sociable person, able to work in a team and with others; I don’t get nervous when speaking in public thanks to my experience of presenting at scientific conferences

Work experience

Engineer/lab technician

Ufa University of Science and Technology

September 2021 - present

My primary research experience lies in electroanalysis and sensor development. I have designed and performed experiments using cyclic voltammetry (CV), differential pulse voltammetry (DPV), and electrochemical impedance spectroscopy (EIS) to evaluate sensor performance. I have worked extensively with glassy carbon (GCE) and screen-printed carbon electrodes (SPCE), including their modification with carbon-based nanomaterials to improve sensitivity and selectivity. My work involves constructing calibration curves and determining key analytical parameters such as sensitivity, linear range, and limit of detection.
In addition, I have experience in investigating molecular recognition mechanisms in polymer-based sensing systems, including molecularly imprinted materials. I complement electrochemical methods with IR and Raman spectroscopy for structural characterization and validation of results. I am also responsible for independent optimization of experimental parameters and data analysis.
Alongside my experimental work, I have developed a strong interest in computational chemistry. I have started to explore DFT-based approaches and noncovalent interaction analysis, aiming to integrate theoretical modeling with electrochemical data interpretation. I am particularly interested in combining computational and experimental methods to better understand sensing mechanisms and improve sensor design.
My research has resulted in several peer-reviewed publications in the field of electrochemical sensing and enantioselective analysis. Through this work, I have developed practical laboratory skills, the ability to design and test hypotheses, and experience in scientific writing

Education:

Ufa University of Science and Technology

Faculty: Institute of Chemistry and Protection in Emergency Situations

Specialisation: Chemistry

Graduation year: 2025

Key skills:

1. Designed and performed electrochemical experiments using cyclic
voltammetry (CV), differential pulse voltammetry (DPV), and
electrochemical impedance spectroscopy (EIS) to evaluate analytical sensor
performance for detection of pharmaceutical compounds (e.g., antibiotics)
2. Fabricated and modified working electrodes (GCE, SPCE) with carbon-
based nanomaterials to enhance sensitivity and selectivity
3. Investigated sensor response through analysis of peak potential shifts and
current variations for target analytes
4. Constructed calibration curves and determined analytical characteristics
(sensitivity, linear range, detection limits)
5. Processed and interpreted voltammetric data using Excel (peak analysis,
signal quantification, baseline correction)
6. Optimized experimental parameters (scan rate, potential window, electrode
modification) independently
7. Evaluated analytical performance (limit of detection, reproducibility,
selectivity)
8. Evaluated polymer-based sensing systems and their molecular recognition
efficiency using electrochemical methods
9. Applied IR and Raman spectroscopy for structural characterization and
complementary validation of electrochemical results
10. Initiated computational chemistry workflows and explored theoretical
methods to support interpretation of experimental electrochemical data