🎓 MSc Computer Science with Artificial Intelligence
📍 University of Nottingham, UK
📧 vmelakia@gmail.com
🔗 LinkedIn: https://www.linkedin.com/in/v-m-elakia-49382a212/
🔗 GitHub: https://github.com/elakiavm
🔗 Medium: https://medium.com/@vmelakia
I’m a Machine Learning Engineer & AI Enthusiast passionate about transforming data into intelligent, real-world solutions.
Currently pursuing my MSc in Computer Science with AI at the University of Nottingham, I focus on deep learning, computer vision, NLP, and AI for social and industrial impact.
With hands-on experience in cloud platforms, big data, and AI research, I aim to bridge the gap between cutting-edge models and scalable deployment.
🧠 “AI isn’t just about algorithms — it’s about understanding problems deeply and creating smart, ethical, and efficient solutions.”
| Category | Tools / Technologies |
|---|---|
| Programming | Python, Java, Bash |
| ML & DL Frameworks | TensorFlow, PyTorch, Keras, Scikit-Learn |
| Data Science Stack | Pandas, NumPy, Matplotlib, Seaborn, OpenCV |
| ML Ops & Cloud | AWS, Docker, Jenkins, Terraform |
| Databases | MongoDB, SQLite |
| Version Control | Git, GitHub |
| Visualization & Dashboarding | Streamlit, Plotly |
| Operating Systems | Ubuntu, Linux |
- Designed and trained CNN architectures (VGG16, ResNet50, Xception, DenseNet201, MobileNetV2) on dermoscopic images.
- Integrated CLAHE and real-time augmentation for balanced performance across skin tones.
- Achieved >90% accuracy on test data, improving fairness in medical AI models.
- Built a scalable fraud detection pipeline using Spark MLlib.
- Applied Local, Global, and LSH-based SMOTE to tackle class imbalance.
- Achieved high precision with optimized clustering (K-Means, Bisecting K-Means).
- Created a hybrid deep learning model combining GANs and CNNs for data encryption in IoT networks.
- Implemented steganographic data hiding to enhance data security during transmission.
- Developed a GAN-based image colorization model with 95% accuracy on grayscale images.
- Built using PyTorch, OpenCV, and NumPy, optimized for real-time results.
- 🧾 Improvised Secure Data Transfer through the Use of Steganography for IoT Network Node Data Security — IEEE, 2024
- 📜 A Novel Implementation of Marksheet Parser Using PaddleOCR — arXiv, 2024
- 🥇 Smart India Hackathon Finalist – Top 3 finish for building a Security Operations Center (SOC) using ElasticSearch, Kibana, and Cortex.
- 🎓 PwC Launchpad Program (Score: 88%) – Completed modules in DevOps, Cloud, and Java.
- 🥉 Hackathon (3rd Place) – Built a Flask + MongoDB job scraper with Streamlit interface.
- 🧩 PCAP: Programming Essentials in Python – Cisco Networking Academy
- ☁️ AWS Partner: Cloud Economics & Accreditation (Technical)
- 🔷 Azure Cloud Computing & Machine Learning – Coursera, Teachnook
- 🤖 AI for Everyone – Coursera
- Advanced Deep Learning Architectures (Transformers, ViTs)
- MLOps Pipelines using AWS & Docker
- Explainable AI (XAI) and Model Interpretability
💼 Always open to collaborations in:
- Machine Learning Research
- Applied AI Projects
- Cloud-based ML Deployment
📩 Reach me at vmelakia@gmail.com
🌍 Let’s build AI that matters!