Career

Experience & Education

Five-plus years of doctoral research in inorganic synthesis and computational chemistry, underpinned by formal training in CADD at India's premier computational chemistry research institute.

Positions

Work Experience

Doctoral Researcher — Inorganic & AI Assisted Materials

University of Lucknow, India

Dec 2020 – Jan 2026
  • Built a structurally diverse library of ten Ru(III) and half-sandwich Ru–arene Schiff-base complexes as anticancer and antimycobacterial candidates.
  • Executed multistep organometallic synthesis; confirmed structures by ¹H/¹³C NMR, FT-IR, UV-Vis, X-ray diffraction, and CHNS analysis.
  • Applied DFT, HOMO–LUMO, and MEP analysis alongside AutoDock molecular docking to establish predictive structure–activity relationships.
  • Coordinated anticancer, antimycobacterial, and antioxidant evaluation with partner laboratories.
  • Mentored junior researchers in synthesis, spectroscopic characterisation, and computational workflows.

Trainee — Computational Approaches to Drug Design (CADD)

CSIR – Central Drug Research Institute (CDRI), Lucknow

Jan – Mar 2019
  • Completed an intensive 8-week certificate programme in molecular modelling, virtual screening, and molecular docking.
  • Gained hands-on exposure to bioinformatics tools applied to pharmaceutical drug discovery.
Academics

Education

2020 – 2026

Ph.D., Chemistry

University of Lucknow

NAAC A++ · Thesis: Synthesis, Characterization and Biological Evaluation of Ruthenium Complexes with Different Amines · Supervisor: Dr. Ashok Kumar Singh

2016 – 2018

M.Sc., Chemistry

University of Lucknow

2013 – 2016

B.Sc., Zoology, Botany & Chemistry

University of Lucknow

2019

Certificate — CADD

CSIR – Central Drug Research Institute

8-week intensive programme in molecular modelling, virtual screening, and molecular docking.

Expertise

Skills & Tools

Density Functional Theory (Gaussian) • Quantum Chemical Modelling • Electronic Structure Analysis • Molecular Modelling • Molecular Docking (AutoDock) • Discovery Studio • RDKit • Python • Cheminformatics • SMILES Processing • Organometallic Synthesis • Coordination Chemistry • Schiff-Base Ligand Design • Ruthenium Coordination Complexes • ¹H NMR • ¹³C NMR • FT-IR Spectroscopy • UV–Visible Spectroscopy • Single-Crystal X-ray Diffraction • CHNS Elemental Analysis • ADME Prediction • QSAR • Structure–Activity Relationship (SAR) • Scientific Writing • Peer-Reviewed Publishing • Research Mentoring

Dissemination

Conferences & Presentations

Poster · International2025

Synthesis, Characterization, Molecular Docking and Biological Evaluation of Ruthenium Complexes

30th ISCB International Conference (ISCB-2025) · International Society for Chemical and Biological Sciences

Oral · National Seminar2024

Synthesis, Spectral Studies and Molecular Docking of Thiosemicarbazide Ligands and Ruthenium Complexes

National Seminar on Advancement and Strategies for Sustainable Development & Environmental Protection · Lucknow

Paper · National Conference2023

Synthesis, Characterization, Molecular Docking and Biological Evaluation of Ruthenium Complexes

Aryabhat Institute of Academics and Research & Goel Institute of Higher Studies (Affiliated to University of Lucknow)

Workshop2022

HPTLC: Technique and Applications

Anchrom Enterprises (I) Pvt. Ltd. & Smriti College of Pharmaceutical Education

Looking Ahead

Postdoctoral Interests

Seeking a postdoctoral position in AI-driven Computational Materials Science, combining Density Functional Theory, machine learning, virtual screening, and experimental validation to accelerate the discovery, design, and optimisation of advanced functional materials.

Get in Touch →
Research Interests

AI-Driven Materials Discovery

Computational Modelling and Artificial Intelligence

Density Functional Theory (DFT)

Machine Learning for Materials Science

Carbon Nanomaterials and Functional Nanocomposites

Virtual Screening for Advanced Materials

Graph Neural Networks for Materials Design

High-Performance Scientific Computing

Data-Driven Materials Optimisation

Digital Materials Discovery