Ali G.

Key Skills

Software

Micro1

Other

Top Subject Matter

Chemistry domain expert annotation and QA evaluation

AI ADME(T) workflow validation and supervised evaluation

ADMET profiling and supervised evaluation for drug discovery

Top Data Types

Text

Top Task Types

Question Answering

Fine-tuning

Entity (NER) Classification

Freelancer Overview

Chemistry Expert, Remote Contractor (micro1). Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Micro1 and Other. Education includes Master of Science, University of Salerno (2026) and Doctor of Philosophy, University of Guilan (2015). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Question Answering, Fine-tuning, and Evaluation.

Labeling Experience

Computational Chemist (Eni S.p.A.)

OtherFine-tuning

Fine-tuned ML interatomic-potential models to improve agreement with DFT reference data and defined numerical targets for training evaluation. Built version-controlled Python training and simulation pipelines on Linux/HPC using reproducible inputs and convergence checks. Analyzed where models succeeded or failed against reference calculations and refined workflows iteratively. • Set numerical targets for DFT agreement and evaluation • Implemented convergence checks and reproducible training pipelines • Conducted model performance assessment against reference calculations • Iteratively improved training workflow based on failure modes

2026 - Present

Collaborator, Computational Chemist (Kohnsham Discovery CRO)

OtherText

Delivered validated in silico analyses and Python-based ADMET profiling for pharmaceutical client projects that require expert evaluation of AI-assisted outputs. Supported candidate prioritization by docking potential therapeutic agents against target proteins for follow-up review. Translated project inputs into documented computational analyses with clear scientific recommendations for downstream decision-making. •Performed validation of computational/AI-assisted ADMET profiling outputs•Ran docking analyses to rank CNS-target candidates•Produced documented recommendations for client review•Provided expert guidance to support model/analysis evaluation

2026 - Present

Collaborator, Computational Chemist (Chiral Inc.)

OtherTextFine-tuning

Built Python pipelines for ADME(T) prediction and optimization, validating AI outputs against chemically meaningful reference criteria. Developed reproducible workflows for property prediction including documented assumptions, input preparation, and supervised review of AI-generated results. Partnered with computational scientists to define problems where correct answers depend on domain-specific cheminformatics and ML tooling. • Implemented supervised evaluation against chemistry reference criteria • Created reproducible Python workflow documentation and preprocessing • Conducted model output review to ensure chemical meaningfulness • Iteratively refined pipelines to support discovery decisions

2025 - Present

Chemistry Expert, Remote Contractor (micro1)

Micro1TextQuestion Answering

Provided chemistry domain expertise for AI model training, benchmarking, and evaluation on micro1’s expert network. Reviewed and refined scientific Q&A, computational workflows, and model outputs to ensure accuracy, rigor, and reproducibility. Assessed model success and failure on chemistry problems requiring specialized tools and domain reasoning. • Verified scientific consistency of question–answer content • Evaluated computational workflow correctness and traceability • Rated outputs for reproducibility and numerical plausibility • Identified failure modes requiring domain-specific reasoning

2024 - Present

Discovery (Salerno

TextEntity (NER) Classification

No description provided.

2025 - 2026

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Education

Work History