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YUGUDA MUHAMMED

Full-Stack AI Engineer

Lagos, Nigeria +234 814 524 3177 elemenx93@gmail.com linkedin.com/in/yuguda github.com/Yuguda999 Portfolio

SUMMARY

Full-Stack AI Engineer with expertise in both backend development and machine learning. Specializing in building end-to-end AI-powered applications that combine robust backend systems with intelligent ML capabilities. Experienced in developing scalable APIs, designing ML pipelines, and implementing Retrieval-Augmented Generation (RAG) systems. Passionate about creating clean, maintainable code and delivering impactful AI solutions.

TECHNICAL SKILLS

Backend Development

  • Python (Django, FastAPI, Flask)
  • RESTful & GraphQL APIs
  • PostgreSQL, MySQL, Redis
  • Authentication (JWT, OAuth2)
  • Microservices Architecture
  • WebSockets, RabbitMQ

Machine Learning & AI

  • PyTorch, Scikit-learn
  • LangChain, Transformers
  • NLP & Computer Vision
  • RAG Systems
  • Vector Databases (ChromaDB, Qdrant)
  • LLM Integration (OpenAI, Gemini)

DevOps & Cloud

  • AWS (EC2, S3, RDS, ElastiCache)
  • Google Cloud Platform
  • Docker, Docker Compose
  • CI/CD (GitHub Actions)
  • Nginx, Load Balancing
  • Monitoring & Logging

PROFESSIONAL EXPERIENCE

Backend/ML Engineer Dec 2024 – Present

Bitsaac Inc.

  • Designed and deployed ML-powered backend services to support AI-driven insights across fintech and research use cases
  • Built fraud detection and content classification models using PyTorch and OpenAI APIs, integrated into FastAPI microservices
  • Implemented Retrieval-Augmented Generation (RAG) systems combining structured and unstructured data for automated market analysis
  • Integrated NLP models with ChromaDB and LangChain to enable semantic search and natural language Q&A across financial datasets
  • Led development of a smart analytics engine for social media automation and user behavior insights using transformers
  • Achieved a 30% improvement in content retrieval speed using vector search and embedding optimization

Backend Engineer Jan 2024 – Oct 2024

Bitsaac Inc.

  • Developed backend systems for Bitsaac's AI-powered SaaS tool, enabling real-time web scraping and content analysis
  • Built and maintained high-throughput APIs for data ingestion and semantic search using vector databases
  • Designed microservices for social media automation workflows with secure integrations for social media APIs
  • Deployed applications on Google Cloud Platform, implementing Firebase authentication and CI/CD with GitHub Actions
  • Integrated PostgreSQL and optimized database queries for scalability, achieving 30% query efficiency boost

Django Backend Developer May 2023 – Jan 2024

Jerota (Contract) | Remote

  • Designed and implemented the backend for a music streaming platform using Django and Django REST Framework
  • Developed user authentication, media upload and management, playlist systems, and real-time streaming endpoints
  • Integrated AWS S3 for media file storage and used EC2 for application hosting
  • Built admin tools and analytics dashboard to manage content and monitor user engagement

Freelance Full-Stack AI Engineer 2021 – Present

Upwork | Remote

  • Delivered multiple end-to-end AI-powered applications across domains including EdTech, FinTech, and eCommerce
  • Developed REST APIs, authentication systems, and integrated payment gateways like Stripe and Paystack
  • Created NLP solutions for text classification, sentiment analysis, and information extraction
  • Implemented RAG systems for document understanding and intelligent Q&A capabilities
  • Contracted by GitHub to work on the Copilot open source plugin infrastructure

PROJECTS

CampusPQ: AI-Enhanced CBT

Django, PostgreSQL, OpenAI, VectorDB, AWS

  • Computer-based testing platform with AI-driven recommendations and chatbot guidance
  • Backend built with Django and PostgreSQL, leveraging OpenAI and VectorDBs for intelligent content discovery
  • Implemented personalized student support with AI-powered question recommendations
  • Built role-based dashboards and deployed on AWS with PostgreSQL backend

Content Repurposer for Social Media

FastAPI, OpenAI, DALL-E, Celery, Redis

  • Production-grade service that ingests raw blog content and orchestrates AI-powered repurposing into various social media formats
  • Used OpenAI's GPT models and DALL-E for intelligent content transformation with a scalable architecture
  • Created a scalable architecture with FastAPI, Celery, and Redis
  • GitHub: github.com/Yuguda999/content_repurposer

RAG PDF Parser

OpenAI, LangChain, Vector Embeddings, Concurrent Processing

  • Tool that processes PDF documents using Retrieval Augmented Generation (RAG)
  • Implemented extraction, analysis, and querying of content using OpenAI's GPT-4 and embeddings models
  • Developed concurrent processing, content analysis, and vector embeddings for semantic search
  • GitHub: github.com/Yuguda999/rag_pdf_parser

CrewAI Trip Planner

CrewAI, LangChain, Multi-Agent Systems

  • AI-powered trip planning system built with CrewAI that uses multiple specialized agents
  • Designed multiple specialized agents with defined roles, backstories, and goals
  • Implemented collaborative planning tasks between AI agents
  • GitHub: github.com/Yuguda999/crewai_trip_planner

PocketClinic - AI Healthcare Assistant

FastAPI, NLP, WHO Protocols, SMS/Voice Integration

  • AI-powered healthcare assistant designed to help healthcare workers in resource-constrained settings
  • Triage patients through SMS or voice messages using WHO protocols to analyze symptoms
  • Implemented secure patient data handling and integration with local healthcare systems

EDUCATION

Ahmadu Bello University, Zaria

B.Sc. Physics — 2018 – 2024