Heuristic AI refers to artificial intelligence systems that use heuristic methods to solve problems, make decisions, or improve performance. These systems employ rules of thumb or educated guesses to find solutions more efficiently when traditional methods are computationally expensive or infeasible. Heuristic AI is often used in optimization, game playing, and decision-making tasks where exact solutions are not easily obtainable.

About Heuristic AI
Heuristic AI emerged as a concept in the mid-20th century, as researchers sought methods to solve complex problems more efficiently. It gained prominence with the development of early AI systems that used heuristics to mimic human problem-solving strategies. These systems were designed to tackle tasks where exhaustive search methods were impractical due to computational limitations. Heuristic techniques were applied in areas like game playing, notably in chess, where they helped AI programs evaluate positions and make decisions without calculating every possible move. Over time, heuristic AI evolved alongside advancements in computing power and algorithm design, becoming integral to various applications requiring efficient problem-solving approaches.
Heuristic AI's strengths include its ability to find solutions quickly in complex problem spaces and its adaptability to various tasks without exhaustive computation. Its weaknesses involve potential inaccuracies due to reliance on rules of thumb, which may not always lead to optimal solutions. Competitors include other AI approaches like machine learning and deep learning, which can offer more precise results by leveraging large datasets and advanced algorithms.
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How to hire a Heuristic AI expert
A Heuristic AI expert must possess strong skills in algorithm design and analysis, particularly in developing and implementing heuristic algorithms. Proficiency in programming languages such as Python or C++ is essential for creating and optimizing AI solutions. Knowledge of search algorithms, optimization techniques, and problem-solving strategies is crucial. Familiarity with data structures and computational complexity helps in efficiently addressing complex tasks. An understanding of artificial intelligence principles and experience with AI frameworks can enhance the development and application of heuristic methods.

Moisés I.
Skills
Java Developer with 11 years of experience specializing in the development and maintenance of applications using both monolithic and microservices architectures. Possesses in-depth expertise in the Spring and Quarkus ecosystems, REST architectural style, API Gateway, Hexagonal Architecture, and Backend for Frontend (BFF) design. Demonstrates proficiency in managing databases, including Oracle, Informix, PostgreSQL, and MySQL. Skilled in utilizing automation tools such as Maven and Gradle, version control systems like GIT, GITLAB, and SVN, and adopting DevOps practices, particularly CI/CD. Experienced with agile methodologies, specifically Scrum, and proficient in cloud services provided by AWS and Openshift platform management. Expertise extends to system modeling and testing frameworks including JUnit, Cucumber (Gherkin/BDD), Mockito, and REST Assured. Dedicated to ensuring quality and continuous improvement by adhering to Clean Code principles, SOLID principles, and established design patterns.

Tarcisio M.
Skills
With a background in system development since 1991 and an early start in programming at age 14 during technical education at Escola Técnica Parobé, there is a demonstrated history of proficiency in solving client problems using diverse programming languages and frameworks including Java, PHP, Delphi, ReactJs, Redux, and React Native. Professional qualifications are complemented by a proactive and committed approach to tasks. A family-oriented individual, married without children, who shares a home with three cats, reflecting a fondness for animals. Known for kindness and generosity, a positive outlook is maintained along with overall life contentment.

Marcelo D.
Skills
Specialist with extensive experience in leading teams and developing high-quality web and mobile solutions. Over a decade of experience working on governmental projects in sectors such as health, sanitation, and public safety. Proficient in object-oriented programming, clean architecture, Java stack, Kafka, SQL, and NoSQL databases. Enthusiast in microservices architecture, cloud computing, and agile development methodologies. Previously responsible for the development and maintenance of a nationwide solution in the banking sector. Currently focusing on microservices architecture and cloud-native technologies as a Java specialist. Leads development teams skilled in back-end technologies using C# and Java, as well as front-end and mobile application development for Android and iOS. Open to part-time opportunities as a legal entity.

Bruno M.
Skills
Software Developer with over 3.5 years of experience specializing in the development of Windows desktop applications using various frameworks including .NET Core, .NET Framework, and .NET variations up to version 8. Possesses expertise in creating websites and landing pages with HTML, CSS, JavaScript, Bootstrap, JQuery, and Webflow. Adept in full-stack web system development on both the frontend and backend, utilizing technologies such as ASP.NET Core, ASP.NET MVC, EntityFramework, FluentValidation, Razor, NodeJs, and ReactJs. Skilled in designing consumable REST APIs with ASP.NET web API, .NET Framework, ExpressJs, and NestJs, as well as developing systems for API consumption using ASP.NET, .NET Core, ReactJs, NodeJs, and NestJs. Experienced in executing ETL processes with Microsoft SQL Server and Oracle, and crafting scripts, automations, integrations, and various customizations using .NET Core, ASP.NET, NodeJs, and Python. Exhibits strong curiosity, high adaptability, and excellent interpersonal skills, and is open to embracing new challenges.

Gabriel G.
Skills
Experienced fullstack web developer with extensive expertise in WordPress, PHP, CSS, HTML5, JavaScript, and related technologies. Demonstrates a strong track record in leading front-end development teams, implementing industry best practices, and delivering high-caliber websites. Skilled in theme customization, bug resolution, and offering thorough support. Fluent in Portuguese and English, with proficiency in Italian and Spanish.

Rony D.
Skills
User experience design specialist with a focus on leveraging data from design processes and discovery phases to identify optimal solutions. Demonstrates strong expertise in User Interface (UI) design, implementing best usability practices and adhering to Web Content Accessibility Guidelines (WCAG) for user-centric deliverables. Proficient in conducting usability tests, validating hypotheses, and performing interviews and surveys for feature discovery and persona development. Experienced in the creation, maintenance, and documentation of Design Systems.

Glaucia C.
Skills
A seasoned professional with expertise in system support, holding the AWS Certified Cloud Practitioner (CLF-C02) credential. Proficient in cloud platforms such as AWS and Azure, and skilled in infrastructure as code using Terraform. Possesses a strong command of programming languages including Python and Java, and is well-versed in Linux environments. Experienced in managing databases such as MySQL, MongoDB, and SqlServer.

Daniel B.
Skills
With a foundational passion for mathematics and a technical background in computer science, this candidate specializes in data science and operational research, aiming to generate significant value for clients. Currently pursuing a degree in Computer Engineering, their professional trajectory includes experience as a Data Scientist at LogComex, where they successfully migrated and automated legacy data pipelines, developed predictive regression models, and enhanced logistical efficiencies through advanced graph modeling. Previously at IBM, they analyzed customer behavior via graph theory, scraped web data for financial insights, and implemented real-time monitoring systems for safety improvements. Their academic pursuits are complemented by certifications in data science and educational contributions, demonstrating a commitment to excellence and continuous learning in the field.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
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