Experience

P3C Technology and Solutions Pvt Ltd

• India
• Semiconductor Manufacturing
• 1 - 100 Employee

• Head of Research And Development

  • Jul 2023 - Present



Washington University in St. Louis

• United States
• Higher Education
• 700 & Above Employee

• Graduate Research Assistant

  • Aug 2021 - May 2023

  • Investigation of locoregional pH of phase-separated biological systems using pH-sensitive SERS probes • Studied Neuronal Maturation-dependent Nano-neuro Interaction and Modulation on Rat hippocampal neurons • Synthesis of plasmonic fluors as ultrabright fluorescent nano labels and photothermal nano transducers to study the nano-neuro interactions and optical neuromodulation at different maturation stages of an in-vitro neural network • Lab skills include: Clean room working experience, Nanoparticle synthesis, immobilization techniques, trained for BSL2+ facility, surface chemistry modifications, Immunostaining Show less



P3C Technology and Solutions Pvt Ltd

• India
• Semiconductor Manufacturing
• 1 - 100 Employee

• Co-Founder & COO

  • Aug 2019 - Jul 2021



Indian Institute of Technology (Banaras Hindu University), Varanasi

• India
• Higher Education
• 700 & Above Employee

• Undergraduate Student Researcher

  • Jul 2018 - May 2021

  • Fabricated perovskite solar cells using different mixed halide perovskite and optimized the processing of different layers to achieve high efficiency and develop scalable protocols • Performed theoretical optimization of cell parameters using software such as Quantum expresso, Burai, and SCAPS for simulations • Demonstrated the potential of deep learning through the Artificial Neural Network (ANN) for predicting the performance of perovskite solar cells • Fabricated perovskite solar cells using different mixed halide perovskite and optimized the processing of different layers to achieve high efficiency and develop scalable protocols • Performed theoretical optimization of cell parameters using software such as Quantum expresso, Burai, and SCAPS for simulations • Demonstrated the potential of deep learning through the Artificial Neural Network (ANN) for predicting the performance of perovskite solar cells



Physical Research Laboratory

• Research Services
• 300 - 400 Employee

• Undergraduate Researcher

  • Jun 2019 - Dec 2020

  Developed "Scalable and Roll-to-Roll Processing Protocol for Perovskite Solar cells" at IIT (BHU), Varanasi • One of the six selected projects all across India funded by Physical Research Laboratory, Ahmedabad (India) under VISION (Vikram Sarabhai Innovation Challenge-2019) • Designed a high-throughput processing system utilizing solution-based processing and in-situ radiative annealing to continuously coat thin-film layers of the cell, with potential for industrial implementation Developed "Scalable and Roll-to-Roll Processing Protocol for Perovskite Solar cells" at IIT (BHU), Varanasi • One of the six selected projects all across India funded by Physical Research Laboratory, Ahmedabad (India) under VISION (Vikram Sarabhai Innovation Challenge-2019) • Designed a high-throughput processing system utilizing solution-based processing and in-situ radiative annealing to continuously coat thin-film layers of the cell, with potential for industrial implementation