Martin Hadid

DevOps Engineer

Buenos Aires, Buenos Aires Province, Argentina9 yrs 1 mo experience

Most Likely To SwitchAI Enabled

Key Highlights

Over 8 years of experience in AI and Machine Learning.
Expert in designing AI solutions for enterprise clients.
Proven track record in leading cross-functional teams.

Stackforce AI infers this person is a SaaS and AI solutions expert with a strong focus on enterprise applications.

Contact

martinhadid@gmail.com LinkedIn

Skills

Core Skills

Machine LearningAiCloud SolutionsData AnalysisFrontend DevelopmentProject Management

Other Skills

AWSAgile MethodologiesAmazon Web Services (AWS)Artificial Intelligence (AI)Back-End Web DevelopmentBusiness AnalyticsCSSCascading Style Sheets (CSS)Conflict ManagementConsultingContinuous Integration and Continuous Delivery (CI/CD)Data MiningData VisualizationDecision-MakingDeep Learning

About

Machine learning and Artificial intelligence (AI) professional with over 8 years of experience in the fields of Deep Learning, Data Science, Business Analytics, Management Consulting, Product Management, and Software Development. Currently, I am a part of the Cloud AI and Industry Solution Services team in LATAM, where I am responsible for designing AI solutions and products for Google's strategic enterprise clients. In this role, I work with a team of experts to develop innovative solutions that leverage the power of AI to address real-world business challenges. I'm a constant learner. I have been studying Artificial Intelligence, Machine Learning and Software Engineering, improving my skills over the years. I have done an intensive Data Science course in Tel Aviv with top of the line lecturers. Functional Capabilities: Business Analytics, Statistical Analysis and Data Mining, Consulting, Data Visualization, Machine Learning (ML) / Artificial Intelligence (AI) on structured and unstructured data (Text, Image & Video), Project Management, Product Management. Tech Skills: - Programming Languages: Python, JavaScript. - Frameworks and Libraries: Pandas, Numpy, Scikit-Learn, Streamlit, Matplotlib, Seaborn, Selenium, BeautifulSoup, TensorFlow, Keras, NLTK, Spacy, HTML, CSS, Bootstrap, VanillaJS, React, React-Native. - Databases: SQL, NoSQL. - Tools and Others: GCP, AWS, Serverless, Git, DVC, Linux, Scrum, Jira, Confluence, PyCharm, Jupyter Notebook, Postman. Don't hesitate on contacting me!

Experience

9 yrs 1 mo

Total Experience

3 yrs

Average Tenure

4 yrs 7 mos

Current Experience

Google

3 roles

Cloud AI Engineer

Promoted

Mar 2024 – Present · 2 yrs 3 mos

Acted as a trusted technical advisor to customers and solve machine learning issues.
Developed and optimized machine learning models, design processing systems and orchestrate ML pipelines.
Worked with customers, partners, and Google Product teams to deliver tailored solutions into production.
Created and delivered recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders.
Mentored customers on the practical issues in Machine Learning systems, including feature extraction and definition, data validation, monitoring, and management of features and models.

Machine LearningAICloud SolutionsTechnical Advising

Cloud AI Consultant

Oct 2022 – Mar 2024 · 1 yr 5 mos

Collaborated with customer technical leads and client executives to scope, manage and deliver end-to-end Machine Learning implementations of cloud solutions becoming a trusted advisor to decision makers.
Partnered with product and engineering teams to package best practices and lessons learned into thought leadership, methodologies and published assets.
Interacted with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for successful client outcomes based on field experience.
Designed solution architectures and deployed cloud-based Machine Learning solutions according to complex customer requirements and best practices.

Machine LearningCloud SolutionsProject ManagementConsulting

Cloud AI Consultant

Oct 2021 – Sep 2022 · 11 mos

Safemode

Data Scientist & Algorithms Engineer

May 2020 – Oct 2021 · 1 yr 5 mos · Tel Aviv District, Israel · Remote

SafeMode is a cloud-based AI platform aiming to help fleets and mobility services prevent road accidents and reduce operational costs by proactive improvement of driver behavior. On a major commercial fleet, SafeMode reduces 30% of safety events and 3% on fuel consumption saving up to $25,000 anually per vehicle.
Research and development of Machine Learning predictive models in Python using Scikit-Learn, Numpy and Pandas.
Designed, built and maintained the Machine Learning pipeline:
1) Developed a feature store in Python using a Serverless PostgreSQL database.
2) Trained predictive models using SageMaker and DynamoDB.
3) Deployed using Lambda and AWS API Gateway.
Created CI/CD pipelines to deploy Serverless microservices applications in AWS.
Performed data analysis and reports using MySQL databases, AWS Athena query engine and REST APIs .
Built and deployed dashboard-based web applications to track KPIs performance in Python using Streamlit.

Machine LearningData AnalysisPythonAWS

Avature

Frontend Team Leader

Aug 2016 – Sep 2019 · 3 yrs 1 mo · Buenos Aires, Buenos Aires Province, Argentina · On-site

Avature has built a highly flexible Software as a Service (SaaS) platform for Talent Acquisition and Talent Management. Used in more than 100 countries and 19 languages, Avature has over 650 customers of which 110 are Fortune 500 organizations, becoming the global leading provider of CRM for recruiting. Avature's private cloud helps companies to design and implement end-to-end strategic HR initiatives to compete for and retain talented people.
Led a cross-functional team of nine Software Developers, QA Engineers and Functional Analysts.
Managed the Product Life Cycle collaborating with UX and Product teams to design and implement solutions.
Conducted technical analyses with customers to identify product gaps, implementation needs and coordinated new product launches.
Developed features, components and platform enhancements using JavaScript, HTML and CSS.
Organized planning, estimation and architecture design sessions using Agile Methodologies (Scrum).
Interacted with C-Level executives to maximize business growth and impact.
Provided 24/7 real-time incident management, customer and product support.
Interviewed, on-boarded and mentored five new team members.