I will build genetic algorithm optimization solutions in python

M
mianowais
M
mianowais
Owais Idrees

About this gig

I will design and implement a practical genetic algorithm or evolutionary optimization solution for your business, engineering, or research problem. Applications can include scheduling, routing, resource allocation, parameter tuning, feature selection, portfolio optimization, search, and other constrained optimization tasks.


I work with Python, NumPy, pandas, scikit-learn, DEAP, PyGAD, custom evolutionary operators, and reproducible evaluation workflows. I can define the objective and constraints, encode candidate solutions, design selection crossover and mutation strategies, tune hyperparameters, compare baselines, and analyze convergence and solution quality.


Deliverables can include clean source code, experiment results, visualizations, tests, configuration files, API integration, and setup documentation.


Please message me before ordering so I can review your objective function, constraints, dataset, performance requirements, expected output, and deployment environment.

Get to know Owais Idrees

Owais Idrees

Agentic AI and NLP Engineer

5.0(2)
  • FromPakistan
  • Member sinceDec 2017
  • Avg. response time1 hour
  • Last delivery3 years
  • Languages

    Urdu, English, French, Italian
I build practical AI systems for real business problems. My work covers agentic AI, RAG, NLP, LLM applications, Python automation, machine learning, and reliable data extraction. I develop multi-agent workflows, retrieval systems with citations, text classification solutions, and clean pipelines for CSV, Excel, JSON, and APIs. With 5+ years of university teaching and research experience, I communicate requirements clearly and deliver well-documented work. Whether you need an AI prototype, NLP workflow, intelligent automation, or structured dataset, I can turn your idea into a usable solution.