02 / FOUNDATION & GROWTH
From life sciences to scientific software, learning by asking better questions.
2025-PRESENT
Pursuing an MSc in Biotechnology with a specialization in Industrial Biotechnology at Gujarat Biotechnology University, Gandhinagar, with growing emphasis on bioinformatics, genomics, bioprocess modelling, computational biology and AI/ML applications in biotechnology.
2022-2025
BSc in Biotechnology at Dr. Indu Dayal Meshri College of Science & Technology, Patan, affiliated with Hemchandracharya North Gujarat University (HNGU).
JUN 2026
Completed a 4-week research internship through the GSBTM SRIP-2026 programme under Dr. Prince Tiwari. Worked on “Structure-based in silico study of human β-cardiac myosin inhibitors associated with cardiomyopathies,” including protein visualization and preparation, FDA-approved drug screening, molecular docking with HADDOCK and Schrödinger Glide, and molecular-dynamics simulations.
MILESTONES ALONG THE WAY
JUN 2026
Qualified under Category 3 - Admission to PhD only.
APR 2025
Secured All India Rank 62 (UR) in the Graduate Aptitude Test-Biotechnology (GAT-B) 2025.
MAR 2025
Qualified the CUET PG Life Science examination in 2025.
FEB 2025
Secured All India Rank 875 in IIT JAM 2025.
JUN 2025
Awarded following GAT-B 2025 AIR 62, supporting postgraduate study at Gujarat Biotechnology University through the Department of Biotechnology, Ministry of Science & Technology, Government of India.
SEP 2024
Awarded by Ganpat University for the model “Targeted Cancer Detection Using Nanorobotics,” focused on early cancer detection using biocompatible nanobots and molecular tumour markers.
JUN 2024
Recognized by the Microbiologists Society, India (MBSI), in association with HiMedia Laboratories, for academic merit, laboratory skills and consistent dedication to life sciences and microbiology.
Best Student recognition and 2nd Prize in a Bio Model Competition for a nanorobotics concept for early cancer detection.
Qualified GAT-B 2025 with AIR 62 and entered Gujarat Biotechnology University with a national graduate fellowship.
Deepened work across bioinformatics, genomics, fermentation analytics, computational research and machine learning.
Research internship involving protein visualization, FDA-approved drug screening, molecular docking and molecular-dynamics simulation.
Built and deployed CRISPR design tools, advanced an IndPenSim penicillin soft-sensor workflow and expanded into reproducible biological software.
Moving toward phage-host prediction, natural endolysin datasets, protein embeddings, AMR applications and future digital-biology systems.