Agnish Reddy

PharmD-qualified computational drug discovery scientist with hands-on experience building end-to-end AI/ML pipelines for de novo small molecule design. Independently developed and validated a generative AI + machine learning system that identified novel, patent-free drug candidates across four therapeutic targets — achieving sub-100 nM predicted potency against JAK1/2 and 8.58 pIC50 against LRRK2. Combines deep pharmaceutical domain expertise (pharmacokinetics, ADMET, GCP, regulatory compliance) with applied Python programming, cheminformatics, and structure-based drug design.

Currently integrating AutoDock Vina for binding validation and expanding pipeline toward full preclinical readiness.

Medical Officer / Duty Doctor at CARE Hospital (Quality Care India) (2023-11 – 2024-06)

• Reduced claim denials by 15% through precise insurance coordination and documentation.
• Conducted internal billing audits with zero compliance violations.

Medical Officer at Ayu Health Multispeciality Hospital (2022-02 – 2022-06)

• Insurance claim processing and payer communications with 100% co-payment accuracy.

Quality Analyst at TATA 1mg (2021-08 – 2022-02)

• Supervised 7+ analysts in financial documentation; achieved 100% audit compliance.
• Managed pharmaceutical inventory control and cost-reduction protocols.

Pharmacist at MediLife International Pvt. Ltd. (2020-09 – 2021-08)

• Healthcare billing, insurance verification, pre-authorization, and regulatory audit documentation.

Clinical Trial Coordinator / Drug Safety Associate at RVM Institute of Medical Sciences (2018-08 – 2019-02)

• Managed clinical trial participant records; maintained GCP compliance on screening logs.

Doctor of Pharmacy in Pharmacy – Geethanjali College of Pharmacy (2014 – 2020)