About Me

“We are at the very beginning of time for the human race. It is not unreasonable that we grapple with problems. But there are tens of thousands of years in the future. Our responsibility is to do what we can, learn what we can, improve the solutions, and pass them on.”

~ Richard P. Feynman

Work experience

April 2025 – Present: Postdoctoral Researcher

Rochester Institute of Technology (RIT), New York, USAWorking on large-language models (LLMs) and materials discovery for metal-halide perovskite semiconductors. The research focuses on analyzing large-scale datasets of perovskite solar cell publications to uncover correlations between material composition and device performance, aiming to predict optimal formulations for high-efficiency solar cells.

Sept 2024 – March 2025: Research Associate (Postdoc)

Indian Institute of Technology Delhi (IIT Delhi), IndiaWorked on organic and perovskite-based optoelectronic devices with a focus on photophysical characterization. The research involved exploring quantitative structure–property relationships (QSPR) using machine learning to optimize solar cell performance. Additionally developed sensitive organic photodetectors based on semiconductor/insulator-type architectures for enhanced device functionality.

Sept 2020 - Sept 2024 : Graduate Scholar (Ph.D.)

Indian Institute of Technology Delhi (IIT Delhi), IndiaPh.D. project focused on loss mechanisms in non-fullerene organic solar cells by integrating experimental studies with data-driven machine learning approaches. Gained extensive experience in device fabrication, electrical characterization, and statistical modeling.

Supervisor: Prof. Supravat Karak

Organic and Hybrid Electronics Devices Laboratory,

Department of Energy Science and Engineering, Indian Institute of Technology Delhi

Hauz Khas New Delhi-110016, India

Responsibilities at IIT Delhi:

Organic and Perovskite Solar Cells: Researching the photophysical characterization of organic and perovskite-based solar cells.
High-Efficiency Device Fabrication: Developing prototypes for 15% efficient non-fullerene organic solar cells under open-air conditions.
Device Fabrication & Characterization: Hands-on experience with device fabrication in glove box and open-air conditions, including I-V, EQE, transient photocurrent, and photovoltage measurements.
Machine Learning for Device Optimization: Discovering quantitative structure-property relationships (QSPR) in solar cells using machine learning techniques.
Skills: Data Science, Research & Development (R&D), Lab Management, Glove Box Operations, Origin Software, Proposal Writing, Python Programming, Device Fabrication and characterization.

Group Webpage:
Organic and Hybrid Electronics Devices Laboratory - IIT Delhi

Feb 2019 - July 2020 : Junior Research Fellow, BRICS Project,

The LNM Institute of Information Technology, Jaipur, Raj-302031

At LNMIIT Jaipur, Rakesh explored the fundamentals and applications of different new organic conjugated polymers and non-fullerene acceptor materials via different optical spectroscopic techniques. He has used these materials for organic solar cell fabrication and its electrical characterization.

PI:- Prof Ganesh D Sharma, Department of Physics

Education

Ph.D. in Energy Science and Engineering Sept 2020 - Sept 2024

Indian Institute of Technology Delhi, India

Thesis Entitled: Unravelling Loss Mechanisms in Non-Fullerene Organic Solar Cells: Integrating Data-Driven Machine Learning and Experimental Approaches

Master of Science in Physics July 2016 - Sept 2018

Jai Narain Vyas University, Department of Physics

Jodhpur, Rajasthan - 342005, India

Bachelor of Science in Physics, Chemistry, and Mathematics July 2013 - Jun 2016

Lachoo Memorial College of Science and Technology, (AUTONOMOUS)

Jodhpur, Rajasthan - 342005, India

Awards

Qualified two times Joint CSIR UGC NET JRF conducted by the Ministry of Human Resource and Development, Govt. of India in 2019 and 2020 with AIR 116 and 148.
Qualified Graduate Aptitude Test in Engineering (GATE), 2019 with AIR 2012.
INSPIRE Scholarship for B.Sc. and M.Sc. (2013-18) and INSPIRE Fellowship for Ph.D. in 2020.
Completed course on COURSERA:-
- Nanotechnology: A Makers Course jointly offered by Duke University, North Carolina State University, and The University of North Carolina at Chapel Hill.
- Introduction to Molecular Spectroscopy offered by the University of Manchester.
- Organic Solar Cell : Theory and Practice offered by Technical University of Denmark (DTU)
- Introduction to Solar Cell offered by Technical University of Denmark (DTU)
- Plastic electronics offered by Ecole Polytechnique, France.

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