Harshit
M.S. (Pharm) Pharmaceutics - NIPER Hyderabad (2024-26)B.Pharm - MDU, Rohtak (2020-24)Certificate course in A.I. & M.L.
- Role
- Internship Trainee at Few Skincare
- Location
- Sonipat, HR, IN
- LinkedIn followers
- 500 followers
About Harshit
Dedicated Pharmaceutics Researcher | M.S.(Pharm) Candidate at NIPER HyderabadI am an ambitious M.S.(Pharm) Pharmaceutics candidate at NIPER Hyderabad, with a strong academic background in pharmaceutical sciences. I\'ve completed my B.Pharm degree from M.D.U. Rohtak, Haryana. My academic journey is driven by a passion for advancing drug delivery systems and optimizing therapeutic outcomes to address critical healthcare challenges.My research interests lie in the development of innovative formulations, understanding drug-release mechanisms, and enhancing bioavailability. With a commitment to scientific rigor and a problem-solving mindset, I aim to contribute to the evolving field of pharmaceutics by delivering impactful solutions that improve patient care.I am focused on honing my expertise in formulation development, analytical techniques, and regulatory science, while actively engaging with the scientific community to exchange knowledge and foster collaborations.Let’s connect to discuss research opportunities, academic collaborations, and advancements in pharmaceutical sciences.
Experience
Internship Trainee
Nov 2025 — Present
Working on formulation and product development initiatives •Assisting in ingredient research, compliance checks, and product data compilation •Supporting regulatory documentation required for cosmetic products •Exposure to regulatory and compliance requirements within the cosmetic industry •Assisting in product documentation and compliance alignment •Collaborating closely with the founder on growth-related initiatives and product–market fit understanding
Education
NIPER Hyderabad
Master of Science - MS, Pharmaceutics
Maharshi Dayanand University
Bachelor of Pharmacy - BPharm, B.pharm
Maharshi Dayanand University
Certificate course , Artificial Intelligence and Machine learning in pharmaceutical sciences
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