
😊 AI Executive (Reasearch & Development) Micro Crispr || 🧬 Apply ML/DL wizardry to biological datasets Protein str, drug and NGS.
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autoresearch_ml
March 15, 2026 – Present
A general autonomous ML research framework that designs and runs experiments, learns from history, and improves over time with minimal human intervention. Supports classification, regression, recommendation, ranking, and graph learning across model families (MLP, PMF, NeuralMF, GCN, GraphSAGE, GAT).
View Projectzomato-scrapping
October 10, 2024 – October 10, 2024
zomato-scrapping — GitHub repository
View ProjectNatural_Language_Processing
July 26, 2024 – July 26, 2024
Natural_Language_Processing — GitHub repository
View ProjectImplementing_Transformers
July 16, 2024 – July 19, 2024
This is implementation of paper "Attention is all you need"
View ProjectNS2b-NS3-Inhibitor-Discovery
July 16, 2024 – July 16, 2024
Structure based machine learning approach
View ProjectFinding-Inhibitors-for-Pantothenate-Synthetase
June 9, 2024 – June 9, 2024
Pantothenate Synthetase found in M.Tubercluosis, inhibiting the enzyme will inhibit the bacterial growth
View ProjectNS2B-NS3-protein-inhibitor-finding
June 7, 2024 – November 3, 2024
A ML classification model is created to find potential ligand molecules for NS2B/NS3 proteins to inhibiting Zika virus replication
View ProjectThyroid-detector-Internship
June 2, 2024 – June 11, 2024
Thyroid-detector-Internship — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio is entirely personal, indicating strong self-motivation and a passion for data science. The diversity of projects, from general ML frameworks to specific applications in bioinformatics, suggests an adaptable and curious individual. However, the lack of team-based or professional projects makes it challenging to assess collaboration and cultural fit within a corporate environment. The focus on research-oriented projects aligns well with a data scientist role that involves experimentation and model development.
Soft Skills & Operational Fit
The candidate's project descriptions, while present, lack detailed explanations of challenges, solutions, and outcomes, making it difficult to assess soft skills like problem-solving approach, collaboration, or project management. The autonomous ML research framework project suggests initiative and a drive for automation.