Antonio F.Private profile: Upwork shows its earnings only to signed-in members, so we check it every few weeks, not daily. MRR here is a rough estimate (Upwork's six-month earnings ÷ months active). Last read Nov 5, 2026.

Senior AI/ML Consultant for Drug Discovery | Scientific Programmer | Computational Chemistry Platform Architect | 25+ Years Experience Overview: Computational chemistry and AI platform leader with 25+ years advancing drug discovery through quantum chemistry, molecular modeling, and machine learning. Currently Director of Computational Discovery at Enko Chem, with proven expertise building production AI platforms from startup to enterprise scale. Immediate Availability: Open for consulting projects while seeking permanent opportunities. Key Specializations: AI-enabled drug discovery pipelines and platform architecture Molecular property prediction and generative chemistry models Structure-based drug design and virtual screening Cloud infrastructure (AWS/GCP) for computational chemistry PROTAC and covalent inhibitor modeling Binding free energy calculations and molecular dynamics What I Deliver: 🔬 AI/ML Strategy & Implementation End-to-end AI strategy for molecular design and property prediction Custom predictive models using PyTorch, scikit-learn, and domain-specific tools Integration of physics-based modeling with machine learning approaches ☁️ Scalable Platform Development AWS/Kubernetes infrastructure for automated computational workflows Docker-based deployment of scientific applications Database architecture for billion-molecule compound libraries 💡 Scientific Software Development Production-quality code in Python, C/C++, FORTRAN, and CUDA API development for experimental-computational team collaboration Integration with molecular modeling suites (Schrödinger, MOE, OpenEye, RDKit) 🎯 Strategic Consulting Technical due diligence for biotech investments Grant writing assistance (NIH SBIR/STTR) Scientific advisory roles for AI-driven startups Patent support and expert witness services Recent Project Highlights: Enko Chem: Architected Python-based AI/ML platform for molecular design, implementing MLflow for model management and building robust APIs for cross-functional team collaboration WaveBreak Therapeutics: Developed Python-based predictive models for complex multi-reaction kinetics, solving previously intractable computational chemistry problems Covant Therapeutics: Built complete cloud-native Python infrastructure on Google Cloud for covalent drug discovery workflows Multiple Clients: Delivered containerized Python applications using RDKit, OpenMM, and custom scientific libraries for rapid R&D deployment Technical Skills: Programming: Python, R, C/C++, FORTRAN, CUDA, SVL, PyTorch, Scikit-learn Molecular Modeling: MOE, Schrödinger suite, OpenEye, RDKit, OpenMM, MOPAC, TeraChem, Gaussian, Amber, NAMD Cloud/HPC: AWS, Docker, Kubernetes, Argo/Hera, Terraform, Slurm Education & Credentials: Ph.D. in Theoretical Chemistry, University of Memphis B.A. in Mathematics (Minor in Chemistry), Syracuse University 15+ peer-reviewed publications, 3 patents in drug discovery Former CIO of National Energy Technology Laboratory (DOE) Why Choose Me: ✅ Proven Track Record: 25+ years solving real-world drug discovery problems ✅ Full-Stack Expertise: From quantum mechanics to cloud deployment ✅ Leadership Experience: Built and led teams from 4 to 124 people ✅ Remote-First: Successfully managed distributed teams across multiple time zones ✅ Rapid Deployment: Can start immediately with existing infrastructure setup Hourly Rate: $150-250/hour Project rates negotiable based on scope and duration Portfolio Samples Available: AI/ML model architecture documents Cloud infrastructure deployment guides Scientific software documentation Strategic consulting case studies Ready to accelerate your computational chemistry or AI initiatives? Let's discuss how I can help solve your specific challenges.