02.08.2026 aktualisiert
100 % verfügbar
Biotechnology Engineer & Biomedical AI Specialist | EEG Signal Processing | ML/DL System Development
Setif, Algerien
Nur Remote
Master's Degree in Biotechnology & Health National Higher School of Biotechnology , AlgeriaÜber mich
Islam Kharfi — Biotech engineer (ENSB, Algeria) with a Master's focused on clinical AI. Specializes insignal processing, bioinformatics, and medical device software. Builds portfolio projects like NEUROPREDAI Exploring freelance AI/dev work and grad programs in biomedical AI.
Skills
AI AgentsBioinformatikBiotechnologieBioverfahrenstechnikBioengineeringGenomicsMachine LearningDeep LearningBackendMachine Learning OperationsFront EndArtificial Intelligence Markup Language (AIML)
Machine Learning & Deep Learning for Biomedical Applications
Expertise in developing multi-modal ML/DL frameworks using PyTorch, Scikit-Learn, CatBoost, and Stacking Ensembles. Development of clinical-grade diagnostic platforms including EEGConformer-based deep learning architectures combined with ensemble meta-learners for psychiatric disorder classification from EEG data.
Bioinformatics & Biomedical AI
Proficiency in MNE-Python, BioPython, EEGConformer, 3D Slicer, EEG artifact removal, spectral analysis, and the Galaxy Platform for NGS and variant analysis. Application of these tools in building clinical-grade biomedical AI systems and genomic variation analysis pipelines.
Wet Lab & Molecular Diagnostics
Hands-on proficiency in Polymerase Chain Reaction (PCR), DNA/RNA Sequencing, Gel Electrophoresis, Physico-Chemical Analysis, Biosensor Design, and Recombinant Protein Production, applied in oncological diagnostics and clinical research contexts.
LLM Integration & AI-Driven Code Synthesis
Experience in fine-tuning and integrating large language models (LLMs) as AI clinical assistants and for automated preprocessing pipeline synthesis. Use of LLM-driven code generation for self-healing biosensor signal processing pipelines, supporting multiple OpenAI-compatible LLM providers.
Programming & Software Development
Proficiency in Python, MATLAB, C, Git, Docker, Hugging Face Spaces, and Vercel. Development of CLI and web-based tools for biomedical data analysis, containerized deployment, and full end-to-end cloud deployment of diagnostic platforms.
Genomics & Molecular Tools
Knowledge of ARN-PCR, variant analysis, NGS pipelines, aptasensor design, and BioPython. Application in gene and variant analysis tools combining literature evidence with LLM-powered biomedical reasoning.
3D Printing Technologies & Additive Manufacturing
Hands-on experience in Fused Deposition Modelling (FDM) 3D printing using PLA and TPU filaments, and UV resin-based (SLA/MSLA) printing techniques. Design and printing of 3D models for analytical and biomedical applications.
Physico-Chemical Analysis Techniques
Execution of physico-chemical experiments for product evaluation, quality assurance, and compliance validation using specialized analytical instrumentation. Development of rigorous laboratory documentation practices aligned with regulatory standards.
Biosensor Design & Electrochemical Signal Transduction
Design of aptasensors for detection of hemoglobin and peroxidase substrates, including biosensor conception, aptamer selection, and electrochemical signal transduction.
Expertise in developing multi-modal ML/DL frameworks using PyTorch, Scikit-Learn, CatBoost, and Stacking Ensembles. Development of clinical-grade diagnostic platforms including EEGConformer-based deep learning architectures combined with ensemble meta-learners for psychiatric disorder classification from EEG data.
Bioinformatics & Biomedical AI
Proficiency in MNE-Python, BioPython, EEGConformer, 3D Slicer, EEG artifact removal, spectral analysis, and the Galaxy Platform for NGS and variant analysis. Application of these tools in building clinical-grade biomedical AI systems and genomic variation analysis pipelines.
Wet Lab & Molecular Diagnostics
Hands-on proficiency in Polymerase Chain Reaction (PCR), DNA/RNA Sequencing, Gel Electrophoresis, Physico-Chemical Analysis, Biosensor Design, and Recombinant Protein Production, applied in oncological diagnostics and clinical research contexts.
LLM Integration & AI-Driven Code Synthesis
Experience in fine-tuning and integrating large language models (LLMs) as AI clinical assistants and for automated preprocessing pipeline synthesis. Use of LLM-driven code generation for self-healing biosensor signal processing pipelines, supporting multiple OpenAI-compatible LLM providers.
Programming & Software Development
Proficiency in Python, MATLAB, C, Git, Docker, Hugging Face Spaces, and Vercel. Development of CLI and web-based tools for biomedical data analysis, containerized deployment, and full end-to-end cloud deployment of diagnostic platforms.
Genomics & Molecular Tools
Knowledge of ARN-PCR, variant analysis, NGS pipelines, aptasensor design, and BioPython. Application in gene and variant analysis tools combining literature evidence with LLM-powered biomedical reasoning.
3D Printing Technologies & Additive Manufacturing
Hands-on experience in Fused Deposition Modelling (FDM) 3D printing using PLA and TPU filaments, and UV resin-based (SLA/MSLA) printing techniques. Design and printing of 3D models for analytical and biomedical applications.
Physico-Chemical Analysis Techniques
Execution of physico-chemical experiments for product evaluation, quality assurance, and compliance validation using specialized analytical instrumentation. Development of rigorous laboratory documentation practices aligned with regulatory standards.
Biosensor Design & Electrochemical Signal Transduction
Design of aptasensors for detection of hemoglobin and peroxidase substrates, including biosensor conception, aptamer selection, and electrochemical signal transduction.
Erfahrung
Berufserfahrung0 - 5 Jahre
Freelancer seit2026
Sprachen
ArabicMutterspracheEnglishverhandlungssicherFrenchgut
Projekthistorie
Built an LLM-driven self-healing preprocessing pipeline synthesizer for biosensor signals and images (BioPrep-AI). CLI/web tool that audits raw biosensor signal and image data, automatically generates, self-tests, and containerizes a customized preprocessing pipeline via LLM-driven code synthesis. Supports EEG/ECG-style numeric signals and colorimetric biosensor images. Published as open-source software on Zenodo (v1.0.1, MIT License, DOI: 10.5281/zenodo.21510445).
Built AffiBio, a gene and variant analysis tool combining Affinage (ClinVar/PubMed literature evidence) with Biomni (LLM-powered biomedical reasoning) to produce comprehensive diagnostic reports. Implemented a 5-stage pipeline: VEP annotation, Affinage lookup, Biomni LLM analysis, structured enforcement, and HTML report generation. Published as open-source software on Zenodo (v0.1.0, MIT License, DOI: 10.5281/zenodo.21606532).
Developed a clinical-grade psychiatric diagnostic platform (NEUROPRED). Built a multi-modal ML/DL framework using the TDBRAIN dataset to automate classification of psychiatric disorders from 19-channel EEG data. Designed a stacking ensemble architecture combining EEGConformer deep learning with CatBoost and SVM meta-learners. Backend deployed on Hugging Face Spaces; production frontend deployed on Vercel. Integrated a fine-tuned LLM as an AI clinical assistant for automated PDF diagnostic report explanations.