Experience

Bakliwal Tutorials Pvt Limited

• India
• Education Management
• 1 - 100 Employee

• Professor of Physics

  • Apr 2023 - Present

  Pune, Maharashtra, India Handling Batches of varied nature for IIT JEE (Main & Advanced)



Aakash Educational Services Limited

• India
• Education
• 700 & Above Employee

• Assistant Director (Centers of Excellence) & Physics Faculty

  • Dec 2021 - Apr 2023

  - Faculty of Physics - Result Excellence - CoEs (National Profile): Responsible for ensuring excellent results of Aakash BYJU’s across 10 Centers of Excellence viz. Ahmedabad, Chandigarh, Delhi, Jaipur, Pune, Bhubaneswar, Bengaluru, Hyderabad, Indore and Lucknow. The CoEs are aimed at producing Top AIRs ( Top 10 including ranks 1,2,3 and so on). - Led the entry of Aakash BYJU’s in CUET domain. Handled the course planning along with auxillary support to Marketing, Operations… Show more - Faculty of Physics - Result Excellence - CoEs (National Profile): Responsible for ensuring excellent results of Aakash BYJU’s across 10 Centers of Excellence viz. Ahmedabad, Chandigarh, Delhi, Jaipur, Pune, Bhubaneswar, Bengaluru, Hyderabad, Indore and Lucknow. The CoEs are aimed at producing Top AIRs ( Top 10 including ranks 1,2,3 and so on). - Led the entry of Aakash BYJU’s in CUET domain. Handled the course planning along with auxillary support to Marketing, Operations and Finance.

• Faculty of Physics

  • Dec 2018 - Dec 2021

  Delhi, India Involved as a faculty of Center of Excellence Batch.



JOYY Inc.

• Singapore
• Technology, Information and Internet
• 300 - 400 Employee

• Content Development Lead (SME) Physics

  • Aug 2020 - Oct 2020

  Delhi, India



FIITJEE Limited

• India
• Education Administration Programs
• 1 - 100 Employee

• Associate Professor of Physics (A1)

  • Apr 2017 - Jan 2019

  Punjabi Bagh, Delhi

• Assistant Professor of Physics

  • Aug 2014 - Mar 2017

  Punjabi Bagh, Delhi



Evalueserve

• Switzerland
• IT Services and IT Consulting
• 700 & Above Employee

• Business Analyst

  • Jul 2013 - Oct 2013

  Gurgaon, Haryana, India Primary and Secondary market analysis of Oil and Gas sector globally along with competitive intelligence research.



Indian Institute of Technology, Guwahati

• India
• Higher Education
• 700 & Above Employee

• Bachelor Thesis Project

  • Jul 2012 - May 2013

  Guwahati, Assam, India Angiotensin, a amino acid chain which is of an interest to many medicinal engineers and drug development companies, is an important part of renin-angiotensin system. I worked inDepartment of Chemistry, IIT Guwahati to study effects of various concentrations of aqueous acetone solution on Agiotensin using modelling techniques of molecular dynamics. Keywords: Molecular Dynamics, Chemical Sciences, Coding



University of South Carolina

• United States
• Higher Education
• 700 & Above Employee

• J1 Research Scholar

  • May 2012 - Jul 2012

  South Carolina, USA Proton transfer reactions are an important and crucial reaction class of various processes. Proper modeling of them can not only save resources but also gives thorough insights into the inner working, This study of proton transfer reactions was done via implementation of quantum mechanical concepts in codes. Findings published in Journal of Chemical Physics : https://doi.org/10.1063/1.4788832 Keywords: Coding, Fortran, Data Structures



University of Manchester

• United Kingdom
• Aviation and Aerospace Component Manufacturing
• 1 - 100 Employee

• Project Assistant

  • May 2011 - Jul 2011

  Manchester, United Kingdom Force fields are important parameters for designing of drugs and development of many softwares in the field of medicinal chemistry. We used machine learning to ease the calculation of atomic multipoles which were further used for calculation of force fields. Implementation of machine Learning method called Kriging was done along with Particle Swarm Optimization method to calculate Force Fields for protein simulations. Keywords: Coding, Machine Learning, Data Structures, C/C++, FORTRAN… Show more Force fields are important parameters for designing of drugs and development of many softwares in the field of medicinal chemistry. We used machine learning to ease the calculation of atomic multipoles which were further used for calculation of force fields. Implementation of machine Learning method called Kriging was done along with Particle Swarm Optimization method to calculate Force Fields for protein simulations. Keywords: Coding, Machine Learning, Data Structures, C/C++, FORTRAN, Optimization Show less