Build an AltRank Monitor to Catch Social Momentum Early
Node.js CLI tool that monitors cryptocurrency social momentum using AltRank metrics to identify emerging trends.
About Me
AI Engineer specializing in production AI systems — LLM integration, MCP Protocol, agent architectures, and developer tooling. 5+ years shipping apps at scale. Creator of @jamaalbuilds/ai-toolkit, a unified TypeScript SDK for building AI-powered applications. Previously led development of React Native and Next.js platforms at LunarCrush.
What I Deliver:
• AI-powered applications with LLMs, RAG, agents, and MCP
• Production-ready React Native, Next.js, and Node.js apps
• Open-source developer tools with comprehensive testing (720+ tests)
• Immediate contribution—I ship code in week one
My healthcare education background instilled systematic problem-solving and attention to detail that translates directly to debugging complex systems and delivering reliable software under pressure.
Recent focus: Published @jamaalbuilds/ai-toolkit on npm — 17 modules wrapping Vercel AI SDK, LangChain, LangGraph, Langfuse, Inngest, and MCP behind one consistent API. 720 tests, 30-page documentation site, zero vendor lock-in.
Skills
Frontend
Backend & Testing
Maestro
Unit Testing
E2E Testing
AI Engineering & DevOps
Vercel AI SDK
LangChain.js
LangGraph.js
Langfuse
Inngest
MCP Protocol
RAG Pipelines
Agent Architectures
CI/CD
Work Experience
Senior Software Engineer
May 2023 - Mar 2025
- Lead development of React Native mobile app and Next.js web platform with real-time social data analytics.
- Architect and implement AI-powered features using LLMs and Model Context Protocol (MCP), driving user engagement and platform differentiation.
- Established comprehensive testing infrastructure with Cypress and Maestro, improving code quality and accelerating release cycles.
- Own end-to-end feature delivery from technical design through deployment, collaborating directly with product and design stakeholders.
Software Engineer
Jun 2022 - Mar 2023
- Built and scaled Vue.js analytics platform for enterprise clients.
- Designed and implemented RESTful API integrations, improving data pipeline efficiency.
- Configured Azure Pipelines CI/CD, streamlining deployment processes.
Software Engineer
Oct 2021 - Jun 2022
- Developed React component library and Redux state management for B2B fintech platform serving lending operations.
- Implemented comprehensive Jest and React Testing Library test suites, improving code reliability.
- Collaborated with product team to redesign loan application flow for improved user experience.
Portfolio Projects
🏥 AI Healthcare Assessment System
Professional healthcare application combining Google Gemini AI with machine learning for intelligent medical risk assessment. Features hybrid AI analysis, clinical reasoning, and always-on serverless deployment.
Tech Stack: Python, Gemini, JavaScript, Next.js, Vercel
Highlights: Healthcare Domain, AI Integration, Serverless Architecture, Clinical Decision Support, Machine Learning
Live Demo Github🪄 AI Viral Prediction Tool
Real-time social media analysis tool that predicts viral potential using Google Gemini AI, with live creator data via Model Context Protocol (MCP). Features streaming updates and psychology-based engagement scoring.
Tech Stack: JavaScript, Gemini, MCP Protocol, Next.js, Vercel, Chakra UI
Highlights: Live social data, AI Integration, Serverless Architecture, Real-time streaming with live progress updates
Live Demo Github🔊 Voice-Controlled AI Assistant
Advanced voice interface demonstrating AI integration and real-time data processing. Features speech recognition, AI-powered analysis, and responsive web design.
Tech Stack: Next.js, TypeScript, Google Gemini AI, MCP Protocol, AWS Amplify
Highlights: Voice-to-AI workflows, real-time data sync, production deployment
Live Demo Github🤖 AI-Powered Data Analysis Platform
Production-ready analysis system featuring multi-step AI processing, background job workflows, and real-time dashboard updates. Demonstrates enterprise architecture patterns with comprehensive data handling.
Tech Stack: Next.js, TypeScript, Google Gemini AI, Inngest, PostgreSQL, Supabase
Highlights: Multi-step AI pipelines, background job processing, real-time progress tracking, database optimization
Live Demo Github⚡ Enterprise Data Integration Platform
High-performance backend system implementing Model Context Protocol (MCP) for AI-enhanced data processing. Features Go microservices, Redis caching, and real-time synchronization across multiple data sources.
Tech Stack: Go, Redis, TypeScript, MCP Protocol, Inngest, Docker
Highlights: Microservices architecture, high-performance caching, MCP implementation, horizontal scaling capabilities
Live Demo GithubTechnical Articles
Turn Any REST API into an MCP Server in 25 Minutes
Learn how to transform any REST API into a Model Context Protocol server for AI agent integration.
Build a Dogecoin Sentiment-Driven Trading Signal CLI with Remix
CLI tool that analyzes Dogecoin social sentiment to generate trading signals using Remix and TypeScript.
Build a High-Performance Crypto Rankings API with Go + Inngest + Redis
High-performance API using Go, Inngest for background jobs, and Redis for caching cryptocurrency rankings data.
Build an AI Trading Agent with LunarCrush + Google Gemini in 20 Minutes
Transform social media buzz into actionable trading signals using real-time sentiment analysis and AI-powered recommendations.
Build a Real-Time Crypto Sentiment Dashboard in 20 Minutes with Next.js
Complete step-by-step tutorial showing how to build a beautiful, live crypto sentiment dashboard using Next.js and the LunarCrush API. Includes comprehensive code examples, responsive design patterns, and production deployment strategies.
Published Packages
🤖 @jamaalbuilds/ai-toolkit
Unified TypeScript SDK for building AI-powered applications. 17 modules wrapping Vercel AI SDK, LangChain, LangGraph, Langfuse, Inngest, and MCP behind one consistent API. 720 tests, 30-page documentation site.
Tech Stack: TypeScript, Vercel AI SDK, LangChain.js, LangGraph.js, Langfuse, Inngest, Drizzle ORM, MCP Protocol
Highlights: 720 tests, 17 modules, Published on npm, 30-page docs site, PII detection, RAG pipelines, Multi-agent graphs, Durable workflows
Documentation View on NPM Github📦 @jamaalbuilds/lunarcrush-api
TypeScript SDK for the LunarCrush API with full type safety, automatic rate limiting, and comprehensive documentation. Simplifies integration of social intelligence data into any JavaScript/TypeScript project.
Tech Stack: TypeScript, Node.js, NPM
Highlights: Full type definitions, Promise-based API, Error handling, Rate limit management
View on NPM Github🤖 @jamaalbuilds/lunarcrush-mcp
Model Context Protocol (MCP) server that enables AI assistants like Claude to access real-time social intelligence data. Bridges LLMs with live crypto sentiment and social metrics.
Tech Stack: TypeScript, MCP Protocol, Cloudflare Workers
Highlights: AI/LLM integration, Real-time data access, Zero cold starts, Edge deployment
View on NPM Github🔗 LunarCrush GraphQL API
Public GraphQL API that transforms the LunarCrush REST API into a developer-friendly GraphQL interface. Enables flexible queries, reduced over-fetching, and improved developer experience.
Tech Stack: TypeScript, GraphQL, Apollo Server, Cloudflare Workers
Highlights: Schema-first design, Type-safe queries, Edge deployment, Public API
Try GraphQL Playground GithubTestimonials
"Danilo is an awesome teammate and a talented developer. He works hard, shows up consistently, and you can trust him to take ownership and push things across the finish line. He’s collaborative with product and design, low ego, and always willing to jump in wherever the team needs help. If you’re looking for someone who’s talented, dependable, positive, and truly committed to the team, Danilo is that person. I’d work with him again anytime."
"As a fellow developer Danilo is very easy to work with. Understands the intent even if the requirements are vague. Can pickup new skills or tech stack changes quickly to help ship product. Knows how to read and write the code AND how to utilize AI to accelerate that process correctly. He is definitely one of the newer generation of developers that can realize the benefits of AI while also being able to review and correct the outputs as if he was actually a few developers working together."
"I worked closely with Danilo at LunarCrush, where he was a key developer on our AI initiatives focused on social insights and intelligence. From a product perspective, what I valued most was his ability to connect technical execution with real user impact. He understood how messy social data can be and consistently helped turn that noise into clear, usable signal that actually informed how we built and shipped product. He brought strong technical depth, thoughtful problem-solving, and real ownership to the work. Just as importantly, he was someone I could trust to build the right things, not just ship code. Any team working on AI, data, or intelligence-driven products would be lucky to have him. I’d gladly work with him again."
"It was a pleasure working with Danilo—he's the kind of developer who can map out a tricky feature in minutes and offers calm, practical solutions whenever a bug pops up. As the UI/UX designer on the team, I especially appreciated how smoothly our hand-offs went; the design-to-engineering loop felt effortless because he already thought about user flow and edge cases before I even opened Figma. He keeps the bigger picture of how a product should behave front-of-mind while he codes, and any team looking for a thoughtful, easy-to-work-with engineer will be happy to have him on board."
Contact Me
I build AI-powered applications and open-source developer tools. Open to discussing AI Engineering, Full Stack, and Staff Engineer opportunities.
Let's talk: I respond to all inquiries within 24 hours.
