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Aspiring drug discovery researcher. Experienced in virtual screening and molecular docking. Strong grasp of in silico Medicinal Chemistry and AI in Drug Dev.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
VAE_RF_Templ_Gen
January 14, 2026 – Present
Protein Conformation Generation via replication of Mansoor, Baker et al., 2024. Using Vanilla VAE and RosettaFold Integration
View ProjectBasic-Protein-Analysis
September 29, 2025 – September 29, 2025
A low compute-intensive structural analysis of KRAS
View Projectamber-pre-sim
July 22, 2025 – July 31, 2025
Preparation protocol and production scripts for simulating Protein-Ligand Complex in AMBER
View ProjectPlotting_Bacterial_Sectoral_Regulation
July 4, 2025 – July 31, 2025
A study analyzing the sensitivity of choice of sectoral models on bacterial growth dynamics through ODE-based mathematical modelling using Python libraries, comparing PTR, PTRWF, and min() models to understand their limitations and advantages in different environmental conditions.
View ProjectVS_Workflow_Validation
July 2, 2025 – July 30, 2025
Applying the ROC curve for determining the AUC value of our Virtual Screening to gauge its efficacy in enriching the top with True Positives and minimising False Negatives and False Positives.
View ProjectIMPPAT_Scraping
April 21, 2025 – July 3, 2025
Scraping of Structure Files from IMPPAT(Indian Medicinal Plant Compounds Database) for Virtual Screening against C. Neoformans
View ProjectVina_Docking_Protocol
April 5, 2025 – September 29, 2025
This repository aims at seeking anti-ESKAPE pathogen hits from existing approved drugs using docking and MD simulation studies.
View ProjectCultural Fit Analysis
The candidate's projects are exclusively in bioinformatics, computational chemistry, and related scientific computing domains. While this demonstrates deep expertise in a niche area, there is no evidence of diversity in project types or technologies that would typically align with a broader 'Software Engineer' role in a general tech company. The candidate's experience level is 0, indicating entry-level, which might not align with senior-level expectations for cultural fit in a diverse engineering team without further evidence.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate an ability to work on complex, self-directed research tasks, which suggests a degree of independence and problem-solving aptitude. However, there is no information regarding teamwork, communication, or stress handling.