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You will get AI integration for your Biotech start-up
Project details
As a PhD in Life Sciences with 10+ years of experience in AI, data engineering, and automation, I help startups in healthcare, biotech, and medtech bring smart, compliant, and scalable solutions to market. I specialize in turning complex scientific and regulatory challenges into high-performing AI-driven systems — from predictive analytics and workflow automation to LLM integration and MLOps.
Whether you're launching a digital health product, building a data platform, or automating research pipelines, I bring a unique blend of technical depth and domain expertise to accelerate your success.
Let’s connect and explore how we can transform your vision into an impactful, intelligent product.
Whether you're launching a digital health product, building a data platform, or automating research pipelines, I bring a unique blend of technical depth and domain expertise to accelerate your success.
Let’s connect and explore how we can transform your vision into an impactful, intelligent product.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Azure Machine Learning, deeplearn.js, Deeplearning4j, Google AutoML, Keras, MLflow, OpenCV, PyTorch, RapidMiner, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$50
|
Standard
$5,000
|
Advanced
$10,000
|
|---|---|---|---|
| Delivery Time | 1 day | 15 days | 30 days |
Number of Revisions | 0 | 4 | 8 |
AI Model Integration | - | - | |
Detailed Code Comments | - | - | |
Knowledge Graph | - | ||
Model Documentation | - | ||
Ontology | - | - | - |
Source Code | - | ||
Taxonomy | - | - | - |
Optional add-ons
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Fast Delivery
+$3,000 - $5,000About Alex
AI/ML PhD with Biotech background | Agentic AI | Knowledge Graphs
Irpin, Ukraine - 3:11 am local time
My work combines deep machine learning expertise (LLMs, Graph Neural Networks, Agentic AI) with robust backend engineering and domain-specific insight. I focus on turning high-complexity datasets into deployable, research-grade AI infrastructure.
Biotech and Life Sciences Focus:
AI systems for drug discovery and property prediction
RNA-seq, proteomics, genomics, and multi-omics analysis
Biomedical RAG pipelines and knowledge graph inference
Core Technical Skills:
Python, PyTorch, TensorFlow, Neo4j, LangGraph, RAG pipelines, HuggingFace, OpenAI API, Kubernetes, Spark, FastAPI, GCP, Make.com, n8n
Delivered Projects:
LLM + Graph-based system for real-time clinical decision support
Generative AI for oncology patient segmentation
Bioagent orchestration for multi-source biomedical data
Industries Served:
Biotech, Healthcare, Pharma R&D, Life Sciences, Digital Health
Why Clients Work With Me:
PhD-level domain understanding and technical execution
Scalable architecture ready for white-label and enterprise deployments
Strong focus on transparency, clinical accuracy, and regulatory alignment
Proven impact in production environments with real-world datasets
I’m open to long-term freelance engagements where deep learning meets deep science. If you have a project involving data-heavy pipelines or AI automation, let’s talk.
Steps for completing your project
After purchasing the project, send requirements so Alex can start the project.
Delivery time starts when Alex receives requirements from you.
Alex works on your project following the steps below.
Revisions may occur after the delivery date.
Project setup
Delivery