Python Engineer Stack
Resume:
California, CA, United States
***************@*****.***
VINHAL RIBEIRO
Senior Full Stack Python Engineer Python/Django AI/ML Javascript SUMMARY
I am a Senior Full Stack Python Engineer with 7 years of experience in full-stack web development and AI-driven solutions. Over the years, I’ve worked on AI-powered SaaS platforms and high-performance e-commerce solutions, utilizing a variety of technologies such as Python, Django, FastAPI, Flask, and Celery for backend development, and React, Next.js, Angular, and Vue.js for frontend development. I am skilled in creating robust and secure systems with OAuth, JWT, and Firebase, and optimizing applications using GraphQL, Elasticsearch, Redis, and AWS.
I have successfully integrated NLP and LLMs (GPT-4, Bard, Mistral AI) to automate complex tasks, including sentiment analysis and real-time recommendations. Additionally, I am well-versed in DevOps tools like Docker, Kubernetes, and Terraform, ensuring efficient deployments and infrastructure automation. With experience in Agile environments and using tools like Jira, GitLab, and Slack, I lead teams to deliver high-quality applications while maintaining continuous integration and delivery practices. My expertise in AI/ML (TensorFlow, PyTorch, OpenCV) has enabled me to create innovative features, including video-based product recommendations and personalized customer experiences.
SKILLS
● Frontend : React, Next.js, Angular, Vue.js, Material-UI, SASS, Tailwind CSS ● Backend : Python, Django, Flask, Django REST Framework, FastAPI, Flask-RESTful, Celery ● Database : MySQL, MongoDB, PostgreSQL, Redis, GraphQL, REST APIs. ● AI/ML: TensorFlow, PyTorch, Keras, Pandas, NumPy, Spacy, NLTK, OpenCV, Moviepy, NLP ● Language : JavaScript, Typescript
● DevOps : Docker, Kubernetes, AWS(EC2, S3, RDS, Lambda), CI/CD, Terraform ● Testing : Jest, Mocha, Supertest, Cypress, Pytest, Selenium
● Tools : Git, Github, GitLab, Jira, BitBucket, Slack
● Principles: SOLID, TDD, CI/CD, SDLC, Agile (Scrum/Kanban)
● Other : JWT, Elasticsearch, Swagger, OAuth, Firebase, SEO, LLMs (LLaMA, Falcon, GPT-4, Bard, Mistral AI), Third-Party API Integrations
EXPERIENCE
AlfaHive — Senior Full Stack Python Engineer
Jun 2022 - PRESENT
South Plainfield, New Jersey, United States
● Led the development of a SaaS platform that automates business intelligence using AI-driven analytics.
● Built a scalable backend using FastAPI and Django REST Framework, integrating Celery for task queues.
● Designed an interactive frontend with React, Next.js, and Material-UI, improving dashboard performance.
● Implemented NLP models with Spacy and NLTK for sentiment analysis and automated report generation.
● Used GraphQL to optimize API calls, reducing response times by 30% for complex data queries.
● Architected a PostgreSQL + Redis database structure, ensuring high availability and optimized caching.
● Integrated Elasticsearch for intelligent search capabilities, enhancing data retrieval. ● Deployed with Docker and Kubernetes on AWS, using Terraform for infrastructure automation.
● Managed Agile sprints with Jira and GitLab CI/CD, ensuring smooth deployments and rapid iterations.
● Secured authentication with OAuth, JWT, and Firebase, ensuring compliance with enterprise security standards.
Panasonic North America — Full Stack Python Engineer Jul 2019 - May 2022
Newak, New Jersey, United States
● Developed a high-traffic e-commerce platform with AI-driven personalization, serving millions of users.
● Engineered the backend with Django and Flask-RESTful, optimizing API responses and transaction processing.
● Built a multi-framework frontend, leveraging Angular for admin dashboards and Vue.js for customer interfaces.
● Designed a recommendation engine using OpenCV and MoviePy, generating AI-powered video ads for products.
● Optimized MySQL for transactional data and MongoDB for storing user preferences and purchase history.
● Implemented Redis caching to reduce server load, improving response times by 50%. ● Deployed microservices with Docker and Kubernetes, automating CI/CD pipelines for AWS using Bitbucket.
● Used Elasticsearch for real-time product search, improving customer engagement and conversion rates.
● Automated testing with Selenium, Jest, Cypress, and Pytest, reducing production bugs by 40%.
● Led Slack-based collaboration, ensuring efficient communication across global teams. EDUCATION
Alderson Broaddus University — Bachelor’s Degree
Apr 2016 - May2019
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