I am a committed biotechnology student with a strong academic foundation (CGPA: 8.73) and hands-on expertise in biotechnology principles, laboratory techniques, and computational tools. I excel in experimental design, data analysis, and collaborative problem-solving within multidisciplinary teams. My diverse experiences span across internships in cancer biology, nanotechnology research at NIT Rourkela, and participation in Stanford University’s Code in Place 2025, where I honed my programming and computational modeling skills. Additionally, I have engaged in workshops on vaccine development and advanced laboratory methodologies, reflecting my passion for integrating biotechnology, nanotechnology, and computational biology to develop innovative solutions for real-world biomedical challenges.
Research Intern – National Institute of Technology (NIT) Rourkela
Department of Life Science | Mentor: Prof. Dr. Suman Jha
05/2025 – 06/2025
Course- Code in Place 2025, Stanford University
Co-Curricular Achievements
Maintained a strong academic record with a CGPA of 8.73 in Integrated M.Sc. Biotechnology.
Completed Bachelor’s thesis on Biogenic Synthesis of Iron Oxide Nanoparticles from Tabernaemontana divaricata and their Antimicrobial & Anti-Biofilm Activity.
Successfully completed a 50-day research internship at NIT Rourkela under Prof. Dr. Suman Jha, working on Zinc Oxide Nanoparticles and their Biointeraction with Biphasic Insulin.
Selected as one of 1,600 students globally for Stanford University’s Code in Place 2025, gaining Python programming and computational modeling expertise.
Undertook a 2-month online Cancer Biology internship, gaining exposure to nanotechnology and cancer immunotherapy research.
Authored and presented a review paper on Cancer Immunotherapy, supported with an official recommendation letter.
Participated in Workshop on Vaccine Technology, exploring modern vaccine design, CRISPR-based modifications, and bioprocess technologies.
Acquired hands-on skills in nanoparticle synthesis, characterization, molecular docking, virtual screening, and computational analysis tools (OriginPro, AutoDock, PyRx).