Patrick Da Silva

CTO

Tallinn, Harjumaa, Estonia9 yrs 7 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • CKAD-certified cloud engineer with extensive AWS experience.
  • Led development of an LLM-based translator application.
  • Former CTO with a strong background in scaling tech teams.
Stackforce AI infers this person is a SaaS and cloud engineering expert with a focus on DevOps and machine learning.

Contact

Skills

Core Skills

React.jsAws CloudformationAws CdkAws FargateAmazon Web Services (aws)KubernetesLarge Language Models (llm)Microsoft AzurePython (programming Language)Technology LeadershipPythonData Science

Other Skills

TypeScriptJenkinsJFrogAmazon S3Amazon Relational Database Service (RDS)Amazon EFSAmazon Route 53DockerGitHubProject ManagementTerraformGitHub ActionsNestJSAmazon EC2Django

About

I am currently a freelance senior software consultant, working on software engineering topics using the philosophy behind DevOps. I'm also a mathematician and was CTO in startups for over three years. On top of being an experienced technical manager, I've gained massive amount experience in the following areas: - frontend development (React, TypeScript, HTML & CSS) - backend development (also TypeScript with Node & Express, NestJS, and with python: FastAPI, Flask, Django, and others) - data science: that includes data analysis, data visualization, classification and clustering techniques, hypothesis definition and hypothesis testing, presenting results, etc. - machine learning (from the classical numPy & Pandas for data analysis all the way to LLMs, and any AI-related topic: linear & logistic regressions, statistical modelling, SVMs, neural networks, CNN, LSTM, LLM, etc. are all things I am very familiar with). More recently, my focus has been on cloud engineering with the following technologies: - AWS (EC2, ECS, Lambda functions, S3, IAM, AWS organizations, CloudFormation, AWS CDK, and many more) - Azure (mostly because of the integration with OpenAI, but I am also familiar with Storage Containers, Azure Functions, and the infrastructure I need to run LLM applications). - Terraform (both in AWS & Azure) - Kubernetes (I am CKAD-certified). Finally, I am very skilled with Linux, Git, and building CI/CD pipelines; whether it is with GitHub actions, GitLab CI, CircleCI, Bitbucket pipelines, etc. My main goal is to bring people in companies agility by introducing DevOps and supporting with technology. The word "DevOps" doesn't seem to mean what it used to mean anymore, so I decided to become more vocal on the topic on LinkedIn and meetups to spread the original philosophy that coined the word DevOps. DevOps is about agility. The so-called "agile" methodology got thrown around a lot, but owning a hammer and nails doesn't allow you to build a house alone. A company which embraces DevOps can make use of the agile methodology and its practices, but only by considering what's relevant for the company in the philosophy behind DevOps will true business agility be achieved. Reach out via DM if you need support in any of the technologies mentioned above; the people in my close circles and, of course, myself, can definitely help out bring you to a better place.

Experience

9 yrs 7 mos
Total Experience
1 yr 1 mo
Average Tenure
--
Current Experience

Clearml

Senior Software Engineering Consultant

Feb 2026Present · 3 mos · Tallinn · Remote

  • At ClearML, I help data teams develop and maintain the lifecycle of their machine learning projects.

Wave company

Senior Software Consultant

Mar 2025Jan 2026 · 10 mos · Helsinki, Uusimaa, Finland · Hybrid

  • I had one client for 10 months, Vaisala Oy. Did both frontend work with React, TypeScript, HTML & CSS and DevOps work with Jenkins, JFrog, Docker, AWS CloudFormation and AWS CDK. Also worked a bit with Java Spring Boot and NestJS APIs.
AWS CDKReact.jsTypeScriptAWS CloudFormationJenkinsJFrog

Túlka

Azure OpenAI Expert | Azure - OpenAI - Terraform - Python - React

Jun 2024Aug 2024 · 2 mos · Helsinki Metropolitan Area · Remote

  • While working at Polar Squad, together with our team at Sevendos, we built the initial version of an LLM-based text- and voice-translator for our customer Tulka relying on ChatGPT-4o's capabilities. While I was leading the project, we built a cloud infrastructure on Azure, a backend API to process the conversation and a web-based application for mobile devices that users could use to converse in a given language pair. The translations were then saved and could be re-used for general purposes.
Project ManagementLarge Language Models (LLM)Microsoft AzureReact.jsPython

Pipecloud

DevOps Engineer | AWS CDK, Bitbucket CI/CD

May 2024Mar 2025 · 10 mos · Helsinki Metropolitan Area · Remote

  • PipeCloud wanted to modernize their AWS stack and allow their developers to focus on their frontend and backend work, while I put my attention on making sure that the operational side runs smoothly. Together with PipeCloud, I finalized a partially complete migration from one AWS account to AWS organizations, working with tools like Beanstalk, Fargate, Route 53, IAM, S3, EFS, RDS, CDK, and more.
AWS CDKAWS FargateAmazon S3Amazon Relational Database Service (RDS)Amazon EFSAmazon Route 53

Smartly

Backend & ML Engineer | TypeScript & Python - AWS - GitHub Actions

May 2023Nov 2023 · 6 mos · Helsinki Metropolitan Area · Hybrid

  • This was a customer case while I was working at Polar Squad. Smartly was going through the process of migrating one of their key codebases from TypeScript to python taking care of a backend API serving as a front for their machine learning algorithms in the field of social media marketing, so that its team of data scientists could better handle it and use more adapted tools. During this migration, I had to migrate Terraform code to AWS CDK in python, maintain TypeScript backend code while also porting that same code to python, counsel the team on orchestrating this migration to avoid pitfalls and collaborate with the frontend engineers relying on the backend API I was working on.
Python (Programming Language)TypeScriptAWS CDKTerraformGitHub Actions

Polar squad

DevOps Consultant | Cloud engineering - Software automation - Tech assessments

May 2022Mar 2025 · 2 yrs 10 mos · Berlin, Germany

  • Supporting our customers technically, organizationally and operationally by relying on the DevOps philosophy and working as an infrastructure engineer with a focus on AWS.
Amazon Web Services (AWS)DockerKubernetesGitHubPython (Programming Language)

Staiy

Chief Technology Officer | Tech Lead | React, TypeScript, Python, Machine Learning

Jul 2020Mar 2022 · 1 yr 8 mos · Berlin, Germany

  • Staiy was an e-commerce startup in the area of sustainable fashion. When I joined the company, it was still trying to ramp up sales and internal processes, both at the technical and business level. It was my mission to scale the tech department, collaborate with the operations team, ensure quality of our processes and develop the software together with our team. I built a prototype of a machine-learning image-based search engine for fashion products, re-did the entire website together with our design team and fixed countless backend integration issues present in the stack I inherited from the first day I joined, while simultaneously scaling the software development team from me to 5-10 people over the course of the first 18 months.
  • After a 500,000 euros investment, the company wanted to scale down its technology costs to focus on the brand of the company by moving to Shopify; at that moment, I decided to leave the company and pursue more ambitious technical goals. Staiy was sold to IVALO in 2024.
Technology LeadershipPythonReact.jsNestJSAmazon EC2

Berylls

Data Scientist, Machine Learning engineer, DevOps Engineer

Jan 2020Jun 2020 · 5 mos · Berlin Metropolitan Area

  • With Dr. Eric Morfa Morales as my technical advisor and colleague, we were developing data science-powered web applications. Tasks included:
  • Software development using Python
  • Data analysis
  • DevOps (AWS, Docker, Google Cloud Platform)
  • Data engineering
  • Machine Learning engineering
  • Natural language processing (NLP)
  • Image processing & Computer Vision
Python (Programming Language)Data ScienceDockerAmazon Web Services (AWS)Django

Staiy

Machine Learning Engineer

Sep 2019Dec 2019 · 3 mos · Berlin Metropolitan Area

  • Creation of a deep learning based recommendation engine based on images of fashion products and style metadata. Tasks involved:
  • Data cleaning (numPy, Pandas)
  • Data engineering (SQL, MongoDB)
  • Keras model building and hyperparameter optimization
  • Bayesian inference engine
  • DevOps (AWS, Docker).

Hellafastforward

Intrapreneur & Data Scientist

Jun 2018Aug 2019 · 1 yr 2 mos · Berlin Area, Germany

  • Developing a chatbot company from scratch using Rasa, automating internal communications
  • and HR processes in HR departments for companies using natural language processing.

Entrepreneur first

2 roles

Cohort Member of EFBE1

Apr 2018Jun 2018 · 2 mos · Berlin, Germany

Cohort member

Apr 2018Jun 2018 · 2 mos · Berlin, Germany

Berlin mathematical school

PhD Student

Oct 2016Apr 2018 · 1 yr 6 mos · Berlin Metropolitan Area

Technische universität berlin

Teaching Assistant

Oct 2015Apr 2016 · 6 mos · Berlin Metropolitan Area

  • Supervise, correct and explain exercise sessions for first-year mathematics students at TU Berlin, four hours a week.

Université de montréal

2 roles

Teaching Assistant

Jan 2013May 2013 · 4 mos · Greater Montreal Metropolitan Area

  • Supervise, correct and explain exercise sessions for the course Analysis III - MAT2100 at UdeM. Two hours a week.

Teaching Assistant

Sep 2012Jan 2013 · 4 mos · Greater Montreal Metropolitan Area

  • Supervise, correct and explain exercise sessions for first-year linear algebra students at UdeM, two hours a week.

Education

Freie Universität Berlin

Doctor of Philosophy - PhD — Mathematics

Jan 2016Jan 2019

Humboldt-Universität zu Berlin

Master of Science - MS — Mathematics

Jan 2013Jan 2016

Université de Montréal

Bachelor of Science - BS — Mathematics

Jan 2010Jan 2013

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