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geniusmachado/README.md

๐Ÿ‘‹ Hi, Iโ€™m Genius Machado

Senior Python / Full-Stack Software Engineer ๐Ÿ“ NYC, New York ๐Ÿ“ง geniusmachado@gmail.com

๐Ÿ”— LinkedIn

๐Ÿš€ About Me

Iโ€™m a Senior Python Engineer with years of experience building scalable, secure, cloud-native systems across finance, healthcare, and enterprise analytics. I specialize in backend-heavy systems, API design, data engineering, and cloud infrastructure, while also delivering polished frontend experiences when needed.

I built and scaled mission-critical platforms handling high-volume data, real-time APIs, ETL pipelines, and GenAI integrations.

I thrive in environments where performance, reliability, and clean architecture matter.

๐Ÿง  What I Do Best ๐Ÿ”ง Backend & API Engineering

Design and build RESTful & async APIs using FastAPI, Django, Flask

Develop secure microservices with OAuth2, JWT, LDAP

Optimize API performance using Redis caching, async I/O, and query tuning

Build event-driven systems using Redis Pub/Sub, Kafka, Kinesis

โ˜๏ธ Cloud & DevOps

Architect cloud-native systems on AWS & Azure

Hands-on with EC2, Lambda, ECS, EKS, RDS, S3, DynamoDB, Glue, Redshift

Infrastructure as Code using Terraform, AWS CDK, CloudFormation

Containerization with Docker, orchestration with Kubernetes (EKS, Helm)

CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI, SonarQube

๐Ÿ“Š Data Engineering & Analytics

Build ETL pipelines using Apache Airflow, AWS Glue, Spark

Integrate batch & streaming data from Kafka, Kinesis, S3

Work extensively with PostgreSQL, MySQL, Snowflake, Redshift, MongoDB

Optimize SQL for large-scale analytical workloads

๐Ÿค– GenAI & Machine Learning

Integrated OpenAI & AWS Bedrock into production systems

Built RAG pipelines using LangChain, vector databases

Enabled semantic search, document summarization, and analytics insights

Supported ML inference pipelines for risk & analytics platforms

๐ŸŽจ Frontend & Visualization

Build dashboards using React.js, AngularJS, Next.js, TypeScript

Data visualizations with D3.js, Recharts, Highcharts

Full-stack delivery when required โ€” backend first, UI always purposeful

Build and maintain FastAPI-based APIs connecting Legacy Viewer โ†” Epic Beaker

Handle large pathology & imaging datasets using Snowflake & PostgreSQL

Optimize queries and stored procedures for high-volume clinical workloads

Collaborate with pathologists, data scientists, and IT teams

Refactor API routes, modularize codebases, and enforce secure design practices

Improve system reliability, scalability, and data accessibility

Built Django + FastAPI services for credit risk and bond analytics

Developed React + TypeScript dashboards with real-time visualizations

Designed ETL pipelines using Airflow, Glue, Kafka

Integrated GenAI (OpenAI, Bedrock, LangChain) for semantic search & summarization

Optimized APIs with Redis caching

Deployed services on AWS EKS using Docker, Helm, Terraform

Implemented monitoring with CloudWatch, Prometheus, Grafana, New Relic

Mentored junior engineers on FastAPI architecture & CI/CD

Built FastAPI & Flask microservices for financial platforms

Implemented OAuth2 & JWT authentication

Developed React / Next.js dashboards with D3 visualizations

Designed Airflow ETL workflows loading data into Snowflake

Improved performance with Redis caching

Automated infra using Terraform, AWS CDK, Ansible

Supported A/B testing frameworks and feature flags

Built healthcare backend services using Python, FastAPI, Flask

Developed React-based dashboards with real-time analytics

Designed ETL pipelines with Airflow & Snowflake

Deployed containerized apps on Kubernetes (EKS)

Implemented observability with CloudWatch & New Relic

Ensured compliance and secure data exchange across systems

Built Django-based backend services for financial systems

Optimized MySQL queries & indexing for high-volume APIs

Developed reporting dashboards with Highcharts & JavaScript

Refactored legacy systems for scalability and performance

Deployed services on Linux / Apache / WSGI

๐Ÿงฐ Tech Stack Snapshot

Languages: Python, JavaScript, TypeScript, SQL, Bash

Backend: FastAPI, Django, Flask, Django REST Framework

Frontend: React.js, Next.js, AngularJS, Vue.js, Redux, D3.js, Recharts, Highcharts

Cloud & DevOps: AWS (EC2, Lambda, RDS, S3, Glue, Redshift, EKS, IAM, KMS, SNS, SQS) Docker, Kubernetes, Helm, Terraform, AWS CDK, Ansible

Data & Messaging: PostgreSQL, MySQL, Snowflake, Redshift, MongoDB, DynamoDB, Redis Kafka, Kinesis

CI/CD & Testing: GitHub Actions, Jenkins, GitLab CI, SonarQube Pytest, Selenium, Behave, TDD / BDD

GenAI & ML: OpenAI, AWS Bedrock, LangChain, RAG, Vector Databases

๐Ÿค Letโ€™s Connect

If youโ€™re a recruiter, hiring manager, or engineering leader looking for someone who can:

Own backend systems end-to-end

Scale APIs & data pipelines

Build cloud-native, production-ready platforms

Integrate GenAI responsibly into real systems

๐Ÿ“ฉ Letโ€™s talk: geniusmachado@gmail.com

๐Ÿ”— LinkedIn: https://www.linkedin.com/in/geniusmachado

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  1. Data-Engineering Data-Engineering Public

    Training notes and code for the python training of Data Enginering. Thanks to Ruchit Sir !

    Jupyter Notebook

  2. geniusmachado geniusmachado Public

    Experienced Python Developer | FastAPI | Django | Azure | AWS | React | SQL | Devops | Kubernates

    HTML

  3. Inheritance_OOP_Java Inheritance_OOP_Java Public

    Java code to explain the concept of inheritance and method overiding. (OOP)

    Java

  4. JUnit-Testing-in-Java JUnit-Testing-in-Java Public

    In this repository I have added java programs to test a JUnitTest file with positive and negative test cases for mathematical operations like divide and square and also character count.

    Java

  5. pychmod pychmod Public

    Forked from coreutils/coreutils

    This is a clean-room Python implementation of chmod behavior, compatible with GNU chmod for most use cases. It does not include SELinux, ACL, or filesystem-specific extensions.

    C

  6. XML-Validator XML-Validator Public

    I have created an XML file with the example of a Library and then created its Schema and also the DTD. The java programs in this repository is used to parse and validate the respective .xsd and .dtโ€ฆ

    Java