📧 Email: wabandawu@gmail.com | 📞 Phone: +233 542 015 688
🔗 LinkedIn: Waliyyullah Bandawu

AI and ML specialist with a Master's in Computer Science, bringing deep expertise in Generative AI, Large Language Models (LLMs), and advanced data analytics to IT advisory engagements. Skilled in assessing and optimizing business technology systems, designing and deploying AI/ML pipelines, and developing interactive analytics solutions with Streamlit and LangChain. Experienced in translating business requirements into robust technical solutions, integrating RAG frameworks for knowledge management, and delivering insights that support strategic decision-making. Proficient in Python, SQL/NoSQL, AWS (S3, EC2, SageMaker), and cloud-native development, with a strong track record of guiding organizations through data-driven transformation and full system development lifecycles.

• 🤝 Team Collaboration
• 👨‍🏫 Mentorship & Coaching
• 💡 Product Thinking
• 🔄 Agile Development
• 📊 Strategic Decision-Making

Really Great Tech · *Aug 2023 – Present *

Key Achievements:

• 🚀 Developed and deployed deep learning models for disease detection using PPG signals, leveraging CNNs, LSTMs, and real-time stream inference pipelines
• 📈 Boosted detection accuracy from 83% to 93% through model optimization, feature engineering, and hyperparameter tuning
• 🔗 Built production-grade RAG (Retrieval-Augmented Generation) systems using LangChain, Redis, and vector databases for question answering over enterprise documents
• ⚙️ Designed and maintained AI/ML backends in Python using FastAPI, integrated with LLMs and metadata-aware pipelines
• 💗 Implemented real-time health monitoring systems using wearable sensor data and validated results with clinical teams
• ☁️ Deployed solutions on AWS (S3, EC2, SageMaker) and containerized with Docker and Kubernetes for scalable inference

Tech Stack: Python, FastAPI, PyTorch, TensorFlow, AWS, Docker, Kubernetes, Redis

WeCode · Feb 2025 – Present

Responsibilities:

• 👨‍🏫 Guide aspiring technologists through upskilling programs in AI/ML, Backend Engineering, and LLM Application Development
• 🎓 Provide personalized coaching in prompt engineering, RAG frameworks, and real-world Python projects
• 📚 Share industry insights and career development strategies to help learners achieve professional breakthroughs
• 💼 Mentor 10+ students with hands-on projects and code reviews

Data Intelligence and Swarm Analytics Laboratory · Sep 2022 – Present

Focus Areas:

• 🐝 Applied AI research focusing on swarm intelligence, time-series modeling, and medical signal interpretation
• 📝 Contribute to publishing and validating model results for clinical and scientific use cases
• 🔬 Collaborate with interdisciplinary teams on cutting-edge AI research

Aya Data · Dec 2021 - Aug 2023

Contributions:

• 👥 Managed a team to execute data projects, contributing significantly to company revenue
• 🔍 Conducted research, built datasets, and maintained data security across 100+ projects
• 🎬 Analyzed and processed data from diverse formats (text, audio, video) for integration into workflow platforms
• 💰 Generated $500K+ in revenue through data annotation and quality assurance services

Master's Degree in Computer Science

• University of Ghana (Jan 2023 - Aug 2024)

Bachelor's Degree in Materials Engineering

• University of Ghana (2014 - 2018)

Certificate in Data Science Administration

• University of Ghana (Nov 2022 - Present)

• Generative AI & LLMs: Prompt Engineering, Fine-tuning, RAG Systems, LLMOps
• Deep Learning: CNNs, RNNs, LSTMs, Transformers, Transfer Learning
• Time Series Analysis: Signal Processing, Forecasting, Anomaly Detection
• Data Engineering: ETL Pipelines, Data Quality, Feature Engineering

• AWS Services: S3, EC2, SageMaker, Lambda, CloudWatch
• Containerization: Docker, Docker Compose, Multi-stage builds
• Orchestration: Kubernetes, Helm Charts, Deployment Strategies
• CI/CD: GitHub Actions, Automated Testing, Code Quality Checks

• API Development: RESTful APIs, GraphQL, Async Programming
• Databases: PostgreSQL, Redis, Vector Databases (Pinecone, Weaviate)
• Performance Optimization: Caching Strategies, Query Optimization, Load Balancing

• ✅ AI Workflow Certificate (Aug 2025)
• ✅ AI Engineering Professional Certificate (May 2025)
• ✅ Generative AI Engineering with LLMs Specialization (Jan 2025)
• ✅ Generative AI Engineering and Fine-Tuning Transformers (Jan 2025)
• ✅ Generative AI Language Modeling with Transformers (Jan 2025)
• ✅ Fundamentals of AI Agents Using RAG and LangChain (Jan 2025)

• ✅ Kubernetes and Cloud Native Essentials - The Linux Foundation (May 2025)
• ✅ AWS Machine Learning Fundamentals - Udacity (May 2025)

• ✅ Django Application Development with SQL and Databases - IBM (Mar 2024)
• ✅ APIs - Meta (May 2025)

• ✅ Generative AI Applications Specialist - Coursera (Jan 2025)

Tech Stack: FastAPI | OpenAI | Redis | Python | AWS

Designed FastAPI backend to serve OpenAI-based clinical assistants with intelligent caching and routing mechanisms.

Impact:

• 🚀 Reduced model latency by 38% using Redis cache and prompt routing
• 📊 Served 1000+ requests/minute with 99.9% uptime
• 🔒 HIPAA-compliant architecture with encryption at rest and in transit

Tech Stack: LangChain | Vector DB | Guardrails AI | Python | FastAPI

Integrated LangChain with custom vector search and Guardrails AI to build a retrieval-augmented customer support agent.

Features:

• 🤖 Context-aware responses using enterprise knowledge base
• 📚 Indexed 50K+ product documents for instant retrieval
• ✅ Safety guardrails preventing hallucinations with 99.2% accuracy
• 💬 Reduced customer support tickets by 45%

Tech Stack: PyTorch | TensorFlow | CNN/RNN | AWS SageMaker | Docker

Built CNN/RNN-based pipeline for live monitoring of cardiovascular health from PPG (Photoplethysmography) signals.

Achievements:

• 📈 Achieved 93% accuracy in arrhythmia detection
• ⚡ Real-time inference at 30fps on edge devices
• 🏥 Deployed in 5+ healthcare facilities
• 📊 Processed 10M+ PPG data points with sub-100ms latency

Last Updated: November 26, 2025