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Shaurya Shukla
Uttar Pradesh, India0 followers0 following
- About
- Bachelor's
- Target
Male
Uttar Pradesh, India
Work ExperienceInternship
IOCL - Trainee
Jul 1, 2024 - Jul 31, 2024 · 1 mo
Uttar Pradesh, India
• Engaged with the Amine Regeneration Unit (ARU), a critical component of the Sulfur Recovery Unit (SRU), gaining proficiency in the amine regeneration process to remove contaminants and support the optimization of cleaner fuel production, contributing to an annual target of 200,000 liters.
• Acquired in-depth knowledge of amine regeneration across 3 key refinery units: the Once-Through Hydrocracking Unit (OHCU), Fluidized Catalytic Cracking Unit (FCCU), and Diesel Hydro Desulfurization Unit (DHDS), understanding their integration within the SRU and their operational significance.
• Studied the operation and maintenance of essential industrial equipment, including 5 types of equipment such as degassing drums, heat exchangers, reboilers, and advanced filters, contributing to a decrease in operational downtime of 10 hours per month, enhancing overall efficiency.
ProjectsDesigning of Electrocatalysts as cathode for Zinc-Air Battery
Role - Internship
for Academic
Jan 1, 2023 - Feb 28, 2023
• Investigated the introduction of Pd into Ni hydroxides to enhance Oxygen Reduction Reaction (ORR) activity, confirming that the combination of NiPd on activated charcoal (AC) improves electrical conductivity and surface area for better catalyst dispersion.
• Synthesized NiPd-AC electrocatalyst for improved ORR activity and dispersion, though limited OER led to electrolyte flooding after 4.5 hours
• Prepared binder-free NiCoS2 on carbon paper via hydrothermal synthesis, achieving 17 hours of cycling stability at 10 mA/cm2 with a voltage gap of 1.808V.
• Concluded that NiCoS2 proved promising for long-term cycling in energy storage applications, particularly for Zinc-Air Batteries.
Modeling Diurnal Heating Impact on Propane Containers
Role - Internship
Dec 1, 2023 - Mar 21, 2024
• Developed a mathematical model by incorporating heat transfer laws and including various envi- ronmental factors ambient temperature and solar radiation to assess their influence on propane storage.
• Implemented the model in Python, utilizing numpy for numerical calculations and matplotlib for visualizing temperature changes and thermodynamic behavior.
• Verified the results of the model by comparing the simulation output data with literature, vali- dating the model’s accuracy up to 87.01%.
• Demonstrated the benefits of a study in enhancing propane storage safety, preventing blasts through analysis of cyclic heating’s impact on pressure and thermodynamic stability.
Multi-Unit Float Design for Wave Energy Converter
Role - Internship
for Academic
Dec 1, 2023 - Jan 31, 2024
• Worked on a prototype development of the Point Absorber Wave Energy Converter, in context of Indian Ocean, a project by ONGC Energy Trust. During this project, I conducted experiments on floats to study the interaction between two floats at different rpms.
• Employed Arduino and ultrasonic sensors to collect real-time data, comparing the performance of multi-unit floats to a single float model.
• Achieved a power output of 0.304 W for the single float and 0.540 W for the multi-unit float, demonstrating 77.64% increase in power as compared to single float.
Data-Driven Bioreactor Modeling with LSTM Neural Networks
Role - B.Tech Project, IIT Delhi
for Academic
Aug 1, 2024 - Dec 31, 2024
• Developed a comprehensive mathematical model with 6 dynamic state variables (e.g., Volume, Viable Cells, mAb Concentration) to simulate monoclonal antibody (mAb) production over 5,000 minutes (approximately 83 hours for cancer treatment applications.
• Incorporated 16 key bioreactor parameters to accurately represent complex biochemical processes, achieving an R2 of 0.95 in mAb concentration predictions.
• DevelopedafuturepredictionmodeltopredictmAbconcentrationfor1000timesteps(approximately 16.6 hours using LSTM, enabling data-driven optimization and real-time control.
• Reduced time-series prediction error by 15% through hyperparameter tuning and optimized LSTM architecture, improving computational efficiency by 20%.
Research PapersShaurya Shukla has not added any research paper yet.
VolunteeringShaurya Shukla has not added any volunteering detail yet.