CV of Istiyak Amin Santo
📍 Cyberjaya, Selangor, Malaysia ↗ LinkedIn | GitHub
🎓 SUMMARY
I am a Master’s student at Multimedia University (MMU) in Malaysia, studying Artificial Intelligence and Engineering. Currently, I’m working on a research project that uses computer science and data analysis to help make clean energy from used cooking oil. Previously, I worked as a Software Engineer, developing expertise in Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning.
🏛️ EDUCATION
Multimedia University (MMU), Cyberjaya, Malaysia
Master of Engineering Science (By Research) — CGPA: 4.0/4.00
July 2024 – Dec 2025 (Expected)
Port City International University, Chattogram, Bangladesh
Bachelor of Computer Science & Engineering (Major: Software Engineering) — CGPA: 3.63/4.00
Jan 2020 – Jan 2024
Chittagong Polytechnic Institute, Bangladesh
Diploma in Electronics Engineering — CGPA: 3.01/4.00
Sep 2015 – Oct 2019
Noakhali Union High School, Bangladesh
Higher Secondary School Certificate (HSC) — GPA: 4.89/5.00
Jan 2014 – Feb 2015
TECHNICAL SKILLS
| Programming & Development | Backend & DevOps |
|---|---|
| Python, Golang, PHP (Laravel, Lumen, Yii, Symfony), JavaScript (React, jQuery, Web3.js), R, Bash, SQL, MongoDB | Docker, Git/GitHub, CI/CD Pipelines, AWS, MLflow, FastAPI, Flask, Streamlit, Cloud Security, Load Balancing |
| Data Science & Visualization | AI & Machine Learning |
|---|---|
| Pandas, NumPy, Dask, Polars, Tableau, Power BI, Matplotlib, Seaborn, Plotly, Dash, ggplot2 | Scikit-learn, TensorFlow, Keras, PyTorch, fastai, XGBoost, LightGBM, AutoML, CNNs, RNNs, Transformers, BERT, GPT |
| Specialized Technologies | Research & Collaboration |
|---|---|
| Qiskit, PennyLane, Quantum Computing, Explainable AI (SHAP, LIME, Grad-CAM), Blockchain, Smart Contracts | JupyterLab, VS Code, LaTeX, Overleaf, Kaggle, Google Colab, Linear Algebra, Statistics, Optimization |
🧪 WORK EXPERIENCE
🎓 Graduate Research Assistant (GRA) — Multimedia University, Malaysia
📅 Jul 2024 – Present | Cyberjaya, Malaysia
- Integrated Machine Learning models to optimize biodiesel production from Waste Cooking Oil (WCO).
- Developed AI-driven surrogate models to predict LCA indicators (GWP, energy demand).
- Applied multi-objective optimization (Bayesian, GA) to balance yield, cost, and sustainability.
- Leveraged lab and literature data to support circular economy strategies in Malaysia.
💼 Full Stack Developer — Royal Recruiter (Remote)
📅 Mar 2023 – May 2024
- Designed and developed scalable REST APIs using PHP and Go.
- Collaborated across teams for requirement analysis and performance optimization.
- Improved API reliability, scalability, and cross-system data integration.
🔗 Blockchain Developer — King Apps Studio, Malaysia
📅 Dec 2021 – Jul 2022
- Built and deployed smart contracts defining NFT creation and transfer standards.
- Conducted security audits and optimized gas usage for high-traffic NFT markets.
- Managed NFT metadata, implemented testing pipelines, and ensured blockchain reliability.
🌐 Web Developer — Chief ERP System, Bangladesh
📅 Sep 2017 – Nov 2021
- Developed full-stack ERP systems with PostgreSQL, HTML, CSS, and jQuery.
- Enhanced UI interactivity and browser compatibility.
- Maintained scalable server-side architecture.
📚 RESEARCH PUBLICATIONS
📝 Journal Papers
- Tri-Objective Co-Optimization of Waste-Cooking-Oil Biodiesel Using ML, NSGA-II & LCA – Energy Reports (Under Review)
- Risk-Aware Route Optimization for Waste Cooking Oil Collection – Waste Management (Under Review)
🎤 Conference Papers
- Travelling Salesman Problem in the Classical to Quantum Era – IEEE InCIT 2025 (Accepted)
- Hybrid Deep Learning Framework for Breast Cancer Scoring Using Grad-CAM++ – IEEE InCIT 2025 (Accepted)
- Real-Time Nuclei Classification & Allred Scoring in PR-IHC Histopathology Images – IEEE InCIT 2025 (Accepted)
🏅 AWARDS & SCHOLARSHIPS
- 🥇 Gold Medal – iNVENTEX Innovation Exhibition 2025
“Fueling the Future: A Biofuel LCA Toolkit” - 🎤 Finalist – Three Minute Thesis (3MT) Competition 2025, Multimedia University
- 💰 Government Linked University (GLU) Research Fund, 2024–2025