How to save as PDF

To save this resume as a PDF:

  1. Click the "Print Resume" button below
  2. In the print dialog, change the destination to "Save as PDF"
  3. Click "Save" to download the PDF file
View Portfolio

YUGUDA MUHAMMED

Machine Learning Engineer

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

SUMMARY

Machine Learning Engineer passionate about building ethical and impactful AI solutions. Expertise spans the full ML lifecycle: from data acquisition and preprocessing, model development, and rigorous evaluation, to MLOps practices for robust deployment. Specializing in Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), predictive modeling, and computer vision.

TECHNICAL SKILLS

ML & AI Libraries/Frameworks

  • PyTorch
  • Scikit-learn
  • LangChain
  • OpenAI API
  • Gemini API
  • DeepSeek
  • Transformers
  • Pandas & NumPy
  • Scikit-image

ML Concepts & Techniques

  • Retrieval-Augmented Generation (RAG)
  • NLP (Semantic Search, Text Comprehension, Q&A)
  • Computer Vision (Image Classification, OCR)
  • Predictive Modeling & Regression
  • Clustering (K-Means, Hierarchical)
  • Vector Databases (Qdrant, ChromaDB, Pinecone)
  • MLOps (Principles & Practices)
  • Prompt Engineering & LLMs
  • ETL & ELT Pipelines
  • Hypothesis Testing

Supporting Tools & Platforms

  • Python
  • Docker
  • Git & GitHub
  • GCP & AWS
  • NannyML
  • PyStark
  • Postman

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 and optimized embeddings
  • 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 using FastAPI, LangChain, and ChromaDB
  • 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 Facebook, Twitter, and LinkedIn APIs
  • Deployed applications on Google Cloud Platform, implementing Firebase authentication and CI/CD with GitHub Actions

Freelance ML Engineer 2021 – Present

Upwork | Remote

  • Developed and deployed machine learning models for various clients across industries
  • Created NLP solutions for text classification, sentiment analysis, and information extraction
  • Built computer vision systems for image classification and object detection tasks
  • Implemented RAG systems for document understanding and intelligent Q&A capabilities

PROJECTS

Receipt Classifier

PyTorch, EfficientNet-B0, BERT, TrOCR

  • Developed a machine learning system that classifies receipts as either real or AI-generated
  • Used a hybrid image-text approach combining EfficientNet-B0 for image features and BERT for text features
  • Extracted text from images using TrOCR for comprehensive analysis
  • GitHub: github.com/Yuguda999/receipt_classifier

RAG PDF Parser

OpenAI, LangChain, Vector Embeddings, Concurrent Processing

  • Created a 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

Hybrid LSTM-LR Forecasting

PyTorch, LSTM, Linear Regression, Time Series Analysis

  • Implemented a hybrid forecasting model for stock price prediction
  • Combined LSTM neural networks and Linear Regression for improved accuracy
  • Analyzed historical stock data to predict future price movements
  • GitHub: github.com/Yuguda999/hybrid_lstm_lr_forecasting

CrewAI Trip Planner

CrewAI, LangChain, Multi-Agent Systems

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

Content Repurposer for Social Media

FastAPI, OpenAI, DALL-E, Celery, Redis

  • Developed a production-grade service for AI-powered content repurposing
  • Implemented ingestion of raw blog content and transformation into various social media formats
  • Utilized OpenAI's GPT models and DALL-E for intelligent content transformation
  • Created a scalable architecture with FastAPI, Celery, and Redis
  • GitHub: github.com/Yuguda999/content_repurposer

SPAM Classification

Scikit-learn, NLP, Text Classification

  • Built a machine learning model to classify emails and messages as spam or legitimate
  • Implemented text preprocessing, feature extraction, and multiple classification algorithms
  • Evaluated model performance using precision, recall, and F1-score metrics
  • GitHub: github.com/Yuguda999/SPAM-CLASSIFICATION

EDUCATION

Ahmadu Bello University, Zaria

B.Sc. Physics — 2018 – 2024