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CollinsIfedi
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Software/machine learning engineer
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About me
Full-Stack Software Engineer specializing in Python, Next.js, TypeScript, FastAPI, Rust, and Solana with experience building production-ready AI, blockchain, and consumer-facing applications. Experienced in REST APIs, real-time systems, payment integrations, and scalable backend architectures.
Work experience
Crewdesk
March 2022 – May 2025
Job title
Senior Machine Learning developer
Work experience & achievements
Designed and deployed AI-powered applications using Python, FastAPI, and Large Language Models for intelligent automation.
Developed scalable backend services and REST APIs supporting production-grade software systems.
Built asynchronous data processing pipelines and integrated third-party APIs for real-time data analysis.
Optimized AI workflows, improving system performance, reliability, and maintainability.
Collaborated with cross-functional teams using Git, Agile methodologies, and modern software engineering practices.
Joe ventures LTD
April 2021 – February 2022
Job title
Full stack software developer
Work experience & achievements
Developed responsive web applications using React and modern JavaScript frameworks.
Built backend APIs, authentication systems, and database-driven applications using Python and SQL technologies.
Integrated payment gateways and third-party REST APIs into production applications.
Designed reusable frontend components and scalable backend architectures.
Maintained, debugged, and enhanced existing software to improve performance and user experience.
Education
Federal university of technology owerri
Graduation year: 2026
Level of study
Bachelor
Major / Field of study
Mechatronics engineering (computer systems and software development)
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Everon: Autonomous Multi-Service Intelligence
Role: Lead AI Systems Engineer / Blockchain Backend Developer
Project Overview:
Designed and developed Everon, an enterprise-grade autonomous market intelligence platform that continuously monitors cryptocurrency portfolios, orchestrates multiple AI models for market analysis, and securely authorizes blockchain-based AI services through Solana wallet authentication and SPL USDC payment workflows.
Key Contributions and Responsibilities:
- Architected a modular, event-driven backend for continuous cryptocurrency portfolio monitoring and autonomous market intelligence.
- Built asynchronous workflow orchestration and scheduling systems capable of executing sequential portfolio analysis while maintaining high system reliability.
- Developed fault-tolerant processing pipelines with automatic error recovery, state preservation, and isolated failure handling for external APIs, RPC providers, and blockchain services.
- Integrated multiple Large Language Models, including GPT-4o.
Smart Transaction Stack: Solana MEV & Autonomous Recovery Platform
Role: Lead Rust Developer / Blockchain Infrastructure Engineer
Project Overview:
Designed and developed a high-performance Solana infrastructure platform for real-time blockchain transaction ingestion, AI-assisted transaction recovery, and ultra-low-latency MEV execution. The platform leverages Yellowstone gRPC, Jito Block Engine, and asynchronous Rust services to deliver resilient, production-grade transaction processing.
Key Contributions and Responsibilities:
- Architected a modular, asynchronous blockchain infrastructure optimized for high-throughput Solana transaction processing and low-latency execution.
- Built a real-time blockchain event ingestion engine using Yellowstone gRPC with connection pooling and automatic exponential backoff for resilient network synchronization.
- Developed a high-performance transaction execution engine supporting transaction lifecycle management, dynamic priority fee optimization, Jito bundle creation, and Block Engine submissions.
Buildora developments: Real estate company website
Role: Full-Stack Developer (Next.js)
Project Overview:
Designed and developed a modern, production-ready real estate platform for Buildora developments, delivering a fast, responsive, and SEO-friendly user experience for property discovery and customer engagement.
Key Contributions and Responsibilities:
- Architected and developed the frontend using Next.js, React, and modern JavaScript best practices.
- Built a responsive, mobile-first user interface optimized for performance across desktop and mobile devices.
- Implemented dynamic property listings, detailed property pages, and intuitive navigation for seamless browsing.
- Developed reusable UI components to improve maintainability and accelerate feature development.
- Integrated smooth animations and interactive user experiences using modern frontend animation libraries.
- Optimized page performance, image loading, and SEO through Next.js rendering strategies.
- Implemented contact and inquiry workflows.
Vox AI: AI powered crypto Assistant
Role: Lead AI & Backend Engineer
Project Overview:
Designed and developed Vox AI, an intelligent cryptocurrency trading assistant that combines technical analysis, pattern recognition, multi-strategy signal fusion, and AI-powered market insights to generate actionable trading recommendations in real time.
Key Contributions and Responsibilities:
Architected a modular backend capable of generating real-time cryptocurrency trading signals using multiple technical analysis strategies.
Implemented technical analysis pipelines utilizing RSI, EMA, MACD, Bollinger Bands, Fibonacci Retracements, Fair Value Gaps (FVG), and breakout detection algorithms.
Developed a strategy fusion engine that combines multiple trading signals into unified Buy, Sell, and Neutral recommendations.
Built pattern recognition systems for candlestick and chart pattern detection to improve market analysis accuracy.
Developed a real-time WebSocket server to stream live trading signals with low-latency
GlitchApe: AI powered conversational Merchandise platform
Role: Lead Full-Stack AI Engineer / E-Commerce Systems Architect
Project Overview:
Designed and developed GlitchApe, an AI-native conversational e-commerce platform that enables users to design, customize, and purchase AI-generated apparel through natural language interactions. The platform integrates LLMs, AI image generation, print-on-demand fulfillment, secure payment processing, and intelligent workflow orchestration into a seamless production-ready experience.
Key Contributions and Responsibilities:
- Architected the core business logic orchestration engine for AI interactions, order processing, fulfillment, and payment workflows.
- Designed an intent-driven conversational system with persistent session memory, enabling intelligent, non-linear customer interactions.
- Built AI-powered apparel customization workflows using Stable Diffusion for original artwork generation from natural language prompts.
- Integrated Cloudinary for scalable media management, Printful APIs