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Abel Condori Castro is listed as Software Engineer | Machine Learning Engineer | High-Performance Systems| Python | Java at isaac, based in São Paulo, São Paulo, Brazil. AeroLeads shows a matched LinkedIn profile for Abel Condori Castro.
Abel Condori Castro previously worked as Software Engineer at Isaac and Software Engineer at Loggi. Abel Condori Castro holds Master'S Student, Computer Science from Universidade De São Paulo.
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Passionate about the field of software engineering. My experience includes developing, maintaining, and scaling high-performance solutions from the ground up using microservices and cloud infrastructure( Kafka, Kubernetes, AWS, Docker, and CI/CD). I also specialize in monitoring tools(Elastic Search, Kibana, Grafana), while adhering to best software practices(observability. logging, automated testing, code review, and design docs to effectively share knowledge with cross-functional teams). Good communication skills working with multidisciplinary teams(product manager, product operations, data engineers, data analyst, designers, and UX professionals), particularly within the dynamic environment of a unicorn startup. Furthermore, I have hands-on experience in implementing product releases covering various aspects from product ops and discovery to data analysis using structured logs in Kibana and Grafana for dashboard), A/B testing with feature switches, rollout strategies like canary deployment, and observability practices. Happy to work in a company embracing diversity where I can learn and share knowledge effectively, integrating my skills as a human leader and a problem solver.StacksI have worked on:
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São Paulo, Brazil
- Collaborated closely with the product manager and product operations team to abstract all the payment layers for the company (Tribe: B2C, Squad: Credit, Agile: Kanban facilitated by Jira). The service is the source of truth for all settlements, credits, and debts. Stack: Golang/PostgreSQL, Monitoring: Data dog and sentry. 𝐒𝐭𝐚𝐜𝐤𝐬: Golang/PostgreSQL..
São Paulo, Brazil
- Collaborated as a developer within a cross-functional team across a different country(Tribe: Loggi-one, Squad: payment, methodology: Agile supported by Jira). Our objective was to develop the new Loggi One product, consolidating various complex legacy APIs into a self-service platform, and expanding across Brazil. My contribution was to apply my computer.
São Paulo Area, Brazil
I pursued a learning opportunity at USP to gain exposure to top-tier institutions. Thriving in a new country required securing a scholarship, which I successfully accomplished. I take pride in the valuable knowledge I've acquired and the challenges I've conquered along the way.Here some projects I have worked on- Developed a mini version of the Python.
Arequipa, Peru
Led a team of 6 developers in the successful development of a ground-up ERP system. Utilized event-driven design principles to understand how to create distinct microservices, organizing the team into small teams accordingly. Also, contribute to architecting large-scale multi-tier web applications.Actively participated in defending the tradeoff of.
Arequipa, Peru
Supported the research aiming to join two learning models in machine learning (supervised and reinforcement learning). You can read the paper here: "A new approach for supervised learning based influence value reinforcement learning"
Arequipa, Peru
Responsible for building a mobile app to connect people and the police in real-time. The app provides citizens with a tool to obtain information on operating permits and infractions of public transport vehicles, and taxis, among others; as well as register complaints regarding the services that these vehicles provide.Also, there is an exclusive application.
Arequipa Province, Peru
Responsible for mentoring students.Topics: - Programming fundamentals and paradigms. - Algorithms analysis and design.
Research Area: Artificial Intelligence. Main Area: Machine learning. Domain: Deep network and probabilistic graphical models.
Coursework: - Software and requirement engineering. - Operating systems foundations. - Compiler design. - Artificial Intelligence..
Design and Analysis of Algorithms.
Algorithms for supervised and unsupervised learning, such as Random Forest, Decision Tree, Support Vector Machine, and Neural Networks.
Different algorithms were interested in public keys to encryption and decryption such as RSA.
Data Visualization, Structured and unstructured data, data engineering, K-means, and algorithms for classification such as random forest.
The project was using Lisp(functional programming language) to create a mini programming language. Step1. Conceptual Model. Step 2: Lexic.
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Abel Condori Castro works for isaac.
Abel Condori Castro is listed as Software Engineer | Machine Learning Engineer | High-Performance Systems| Python | Java at isaac.
Abel Condori Castro is based in São Paulo, São Paulo, Brazil while working with isaac.
Abel Condori Castro has worked for Isaac, Loggi, Universidade De São Paulo, Universidad Nacional De San Agustin De Arequipa, and Universidad Católica San Pablo.
You can use AeroLeads to view verified contact signals for Abel Condori Castro at isaac, including work email, phone, and LinkedIn data when available.
Abel Condori Castro holds Master'S Student, Computer Science from Universidade De São Paulo.
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