I’m excited to express my experience and skills for the Software Developer position. With over eight years of full-stack engineering and applied AI experience—spanning computer vision, deep learning, and large language model (LLM) systems—I bring a rare blend of research depth and production-level engineering that fits seamlessly with teams building innovative, AI-driven products. In my current role as Senior Software Engineer at ManyPixels, I lead technical initiatives such as migrating a complex Prisma v1 schema to v6 and moving our GraphQL stack to a code-first approach with Pothos, strengthening type-safety and maintainability. I’ve also upgraded payment infrastructure with Stripe, implemented comprehensive analytics, and provided hands on guidance to engineers through code reviews and architectural decisions. Previously at Hikaflow, I engineered LLM-powered onboarding assistants that cut developer ramp-up time by 70% across 25+ client teams. I built real-time dashboards in React/FastAPI to track code health and designed CNN-based anomaly detection that reduced production incidents by 40%. Earlier roles at Fluently and SoundHound AI deepened my expertise in deep learning, speech recognition, and NLP—where I fine-tuned transformer models and optimized inference latency for global deployments. Highlights of my AI work include: • Developing vision systems for crack and corrosion detection with YOLO and U-Net. • Creating an AI Soccer Broadcaster that automatically generates match highlights with commentary overlays. • Designing an asynchronous, pub/sub LLM platform using RabbitMQ, GPT APIs, and vector databases to automate legal document analysis and contract generation. Across all these projects, I prioritize clean architecture, reproducible ML pipelines, and tight feedback loops with stakeholders to ensure that complex AI systems deliver measurable business value. I would welcome the opportunity to bring this blend of full-stack expertise and advanced AI experience to your company Thank you for considering my application, and I look forward to discussing how I can contribute to your next generation of AI-driven solutions. Best regards, Nilo Siqueira _Phone details not available. Sign in: https://www.twine.net/signup_ | _Email not available. Sign in: https://www.twine.net/signup_ | LinkedIn: nilosiqueira…

Nilo Siqueira

5.0 (1 review)

I’m excited to express my experience and skills for the Software Developer position. With over eight years of full-stack engineering and applied AI experience—spanning computer vision, deep learning, and large language model (LLM) systems—I bring a rare blend of research depth and production-level engineering that fits seamlessly with teams building innovative, AI-driven products. In my current role as Senior Software Engineer at ManyPixels, I lead technical initiatives such as migrating a complex Prisma v1 schema to v6 and moving our GraphQL stack to a code-first approach with Pothos, strengthening type-safety and maintainability. I’ve also upgraded payment infrastructure with Stripe, implemented comprehensive analytics, and provided hands on guidance to engineers through code reviews and architectural decisions. Previously at Hikaflow, I engineered LLM-powered onboarding assistants that cut developer ramp-up time by 70% across 25+ client teams. I built real-time dashboards in React/FastAPI to track code health and designed CNN-based anomaly detection that reduced production incidents by 40%. Earlier roles at Fluently and SoundHound AI deepened my expertise in deep learning, speech recognition, and NLP—where I fine-tuned transformer models and optimized inference latency for global deployments. Highlights of my AI work include: • Developing vision systems for crack and corrosion detection with YOLO and U-Net. • Creating an AI Soccer Broadcaster that automatically generates match highlights with commentary overlays. • Designing an asynchronous, pub/sub LLM platform using RabbitMQ, GPT APIs, and vector databases to automate legal document analysis and contract generation. Across all these projects, I prioritize clean architecture, reproducible ML pipelines, and tight feedback loops with stakeholders to ensure that complex AI systems deliver measurable business value. I would welcome the opportunity to bring this blend of full-stack expertise and advanced AI experience to your company Thank you for considering my application, and I look forward to discussing how I can contribute to your next generation of AI-driven solutions. Best regards, Nilo Siqueira _Phone details not available. Sign in: https://www.twine.net/signup_ | _Email not available. Sign in: https://www.twine.net/signup_ | LinkedIn: nilosiqueira…

Available to hire

I’m excited to express my experience and skills for the Software Developer position. With over eight years of full-stack engineering and applied AI experience—spanning computer vision, deep learning, and large language model (LLM) systems—I bring a rare blend of research depth and production-level engineering that fits seamlessly with teams building innovative, AI-driven products.
In my current role as Senior Software Engineer at ManyPixels, I lead technical initiatives such as migrating a complex Prisma v1 schema to v6 and moving our GraphQL stack to a code-first approach with Pothos, strengthening type-safety and maintainability. I’ve also upgraded payment infrastructure with Stripe, implemented comprehensive analytics, and provided hands on guidance to engineers through code reviews and architectural decisions.
Previously at Hikaflow, I engineered LLM-powered onboarding assistants that cut developer ramp-up time by 70% across 25+ client teams. I built real-time dashboards in React/FastAPI to track code health and designed CNN-based anomaly detection that reduced production incidents by 40%. Earlier roles at Fluently and SoundHound AI deepened my expertise in deep learning, speech recognition, and NLP—where I fine-tuned transformer models and optimized inference latency for global deployments.
Highlights of my AI work include:
• Developing vision systems for crack and corrosion detection with YOLO and U-Net.
• Creating an AI Soccer Broadcaster that automatically generates match highlights with commentary overlays.
• Designing an asynchronous, pub/sub LLM platform using RabbitMQ, GPT APIs, and
vector databases to automate legal document analysis and contract generation.
Across all these projects, I prioritize clean architecture, reproducible ML pipelines, and tight feedback loops with stakeholders to ensure that complex AI systems deliver measurable business value.
I would welcome the opportunity to bring this blend of full-stack expertise and advanced AI experience to your company Thank you for considering my application, and I look forward to discussing how I can contribute to your next generation of AI-driven solutions.

Best regards,
Nilo Siqueira
Phone details not available. Sign in: https://www.twine.net/signup | Email not available. Sign in: https://www.twine.net/signup | LinkedIn: nilosiqueira

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Skills

Experience Level

PostgreSQL
Expert
TypeScript
Expert
JavaScript
Expert
Docker
Expert
GraphQL
Expert
SQL
Expert
PyTorch
Expert
Python
Expert
AWS
Expert
Node.js
Expert
MySQL
Expert
Kubernetes
Expert
Java
Expert
TensorFlow
Expert
Tailwind
Expert
Spring
Expert
Elasticsearch
Expert
Stripe
Expert
Redis
Expert
Django
Expert
React Native
Intermediate
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Language

Portuguese
Fluent
English
Advanced

Work Experience

Senior Software Engineer at ManyPixels
January 1, 2025 - November 4, 2025
Migrated Prisma v1 schema to Prisma v6, switching to a code-first approach with Pothos GraphQL to enhance type-safety. Upgraded Stripe SDK to leverage new features and documented payment flows. Implemented analytics events for signup and purchase flows to improve visibility into user interactions and purchase funnel. Led the team with technical guidance, code reviews, and performance optimization.
Full-stack Engineer at Hikaflow
November 1, 2024 - November 1, 2024
Developed LLM-powered onboarding assistants that auto-generate contextual documentation, reducing ramp-up time by 70% for 25+ client teams. Built a React/FastAPI dashboard to visualize real-time code health metrics, adopted by 50+ enterprises. Designed CNN-based anomaly detection to flag security vulnerabilities and code smells in PRs, cutting production incidents by 40%. Implemented MLflow pipelines to retrain models on client-specific codebases, improving issue detection accuracy by 25%. Migrated legacy systems to AWS microservices (Lambda, ECS), reducing infra costs by 30% while handling 1K+ concurrent users. Automated CI/CD with GitHub Actions and Dockerized deployments, accelerating release cycles by 50%.
AI Founding Engineer at Fluently
January 1, 2023 - January 1, 2023
Built an AI-powered conversational English coach using transformer-based models, serving 10K+ learners. Implemented pronunciation and grammar correction with fine-tuned speech-to-text and NLP models. Designed real-time feedback loops leveraging GPT-style models, improving learner engagement by 35%. Architected a scalable backend on AWS with CI/CD pipelines for rapid iteration. Partnered with early adopters to refine AI feedback mechanisms and user experience.
Machine Learning Engineer at SoundHound AI
February 1, 2022 - February 1, 2022
Developed deep learning models for speech recognition and natural language understanding, achieving 92% accuracy. Optimized inference latency by 25% through model pruning and quantization. Implemented data pipelines for multi-lingual datasets, enabling global product expansion. Collaborated with research scientists to prototype and productionize cutting-edge ML architectures. Delivered model monitoring dashboards, enabling real-time tracking of accuracy drift.
Full Stack Engineer at Efexpay
March 1, 2021 - March 1, 2021
Designed and implemented payment workflows, integrating multiple gateways and fraud detection systems. Developed scalable backend microservices using Java Spring Boot and PostgreSQL. Built responsive frontend dashboards in React and Angular for merchants to track transactions in real time. Automated CI/CD pipelines with GitHub Actions and Docker, reducing deployment time by 60%. Collaborated with QA to establish automated test suites, cutting regression defects by 40%.

Education

Bachelor of Technology (BTech) in Computer Systems Analysis at UNOPAR - Universidade Norte do Paraná
March 1, 2014 - March 1, 2018

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services, Computers & Electronics, Media & Entertainment, Financial Services, Education
    paper Fluently

    Fluently is an AI‑powered mobile application that focuses on helping non‑native English speakers improve their spoken English skills. According to its marketing:

    You have unlimited speaking practice anytime, conversing with an AI tutor on topics you choose (job interviews, meetings, everyday chats).

    It provides real‑time corrections of grammar, vocabulary and pronunciation while you speak, or immediately after.

    It creates a personalised learning plan based on your assessed level and mistake patterns.

    It integrates with online calls/meetings (e.g., Zoom) to give you feedback about how you spoke in an actual real‑life setting.

    It’s positioned as significantly cheaper than hiring a human tutor, and available 24/7.

    paper Hikaflow

    Hikaflow is an AI-powered workflow platform built specifically for software engineering teams. It uses what they call “Agentic AI” to streamline and automate many of the engineering processes that often slow teams down: onboarding new devs, reviewing code (pull requests), tracking code quality, generating documentation, and assisting with release and regression testing.

    Key features include:

    Automated code review / pull request analysis to identify issues, duplicates, risks in changes.

    Onboarding acceleration: by giving new engineers faster visibility into the codebase, architecture and workflows, helping them become productive more quickly.

    Regression and risk-impact analysis: e.g., identifying which parts of the system are affected by a change, so testing can be focused rather than guessing.
    Trustpilot

    Engineering process insight & metrics: giving engineering leaders visibility into workflows, code health, bottlenecks and team productivity.

    Seamless integration with existing dev tooling and repos: the idea is to “plug in” to your existing codebase and CI/CD rather than replacing everything.

    paper Manypixels

    ManyPixels is a creative design service that provides on-demand graphic design and illustration support for businesses and teams. It offers a subscription-based model where clients can request various design tasks — such as marketing materials, web graphics, brand assets, and more — and receive high-quality results quickly from a professional design team.