Amolitho Balde
AI / MLOps Engineer
Comfortable in demanding and agile technical environments, from prototype to production. Rigorous, autonomous, and curious, driven by building AI solutions with real-world impact.
AI / MLOps Engineer
Comfortable in demanding and agile technical environments, from prototype to production. Rigorous, autonomous, and curious, driven by building AI solutions with real-world impact.
My positioning and differentiators
I sit at the intersection of AI and network security — a combination that most engineers approach from only one side. My engineering background in telecommunications gives me a deep understanding of network infrastructure, while my hands-on work in ML and MLOps lets me build systems that operate at production scale.
At OVHcloud, I'm designing a full pipeline from real-time NetFlow ingestion to explainable AI decisions. At ÉTS Montreal (Mitacs Globalink fellowship), I applied federated learning and LLM fine-tuning to network threat detection — research that directly bridges academia and real-world security.
Bilingual French/English (TOEIC 910/990), equally comfortable in research and engineering environments, and graduating in July 2026 — I'm looking to join a team building AI systems that solve hard, meaningful problems.
A timeline of my professional roles and achievements
OVHcloud
Development of AI-based systems for DDoS attack detection on cloud infrastructure; network traffic analysis, design and training of machine learning models to identify and classify threats in real time.
École de technologie supérieure (Mitacs Globalink) – Montreal, Quebec
Applied research on LLM and Federated Learning for network cybersecurity; fine-tuning of language models for cyberattack detection using parameter-efficient techniques (LoRA/PEFT) and distributed training via Federated Averaging (FedAvg).
A selection of projects that showcase my technical skills
Real-time DDoS detection system deployed with Docker and orchestrated via Kubernetes — load balancing and horizontal scaling for high-frequency inference.
View ProjectAnomaly detection platform combining a PyTorch Autoencoder and an LLM agent for automatic decision explainability — exposed via FastAPI and monitored in real time with Prometheus and Grafana.
View ProjectDevelopment of a phishing detection system based on network traffic analysis and machine learning. Use of neural networks to classify websites as legitimate or malicious.
View ProjectInteractive simulator of recursive secure DNS resolution in 3 steps with full integrity verification via DNSSEC.
View Project
A modern and secure job application management platform designed to help professionals track their applications, analyze response rates, and stay on top of deadlines. Featuring a clean and responsive interface, real-time data synchronization, and built-in reminders — all while ensuring your personal data remains private.
My academic background and professional certifications
Chicoutimi • Sept. 2025 – Dec. 2025
Cybersecurity · Cloud Systems Design and Architecture · IT Project Management · Organizational Communication
Université Sorbonne Paris Nord – Sup Galilée • Sept. 2023 – July 2026
Networks & system administration · Security · Signal processing · Fiber optics · Machine Learning & AI
State University of Haiti, Port-au-Prince • Sept. 2020 – July 2023
Electronics & electricity · Signal processing · Networks and programming
NVIDIA • 2025
Key Skills: Deep Learning | Neural Networks | PyTorch | GPU Computing | Model Training & Optimization
ETS • 910 / 990
Level: C1 – Professional working proficiency in English
CompTIA • 2025
Verification: View on Credly
Key Skills: BCDR | Cloud Networking | DHCP | DNS | IaC | Network Management | Network Security | Troubleshooting | Routing & Switching | SDN | VPN | Virtualization | WAN | Wireless Technologies | Vulnerability Management
Coursera • 2025
Verification: View Certificate
Key Skills: Machine Learning | Artificial Intelligence | Supervised Learning | Unsupervised Learning | Reinforcement Learning | Regression | Classification | Decision Trees (CART) | Anomaly Detection | Scikit-Learn | NumPy | Data Ethics
Coursera • 2024
Verification: View Certificate
Key Skills: Cyber Threat Intelligence | Cybersecurity | Network Security | Cyber Operations | MITRE ATT&CK Framework | Scripting | Python Programming | IT Automation
Coursera • 2024
Verification: View Certificate
Key Skills: FTP | Network Routing | Network Security | DHCP | Network Analysis | Network Architecture | Cybersecurity | DDoS Attacks | TCP/IP | Network Protocols
TryHackMe • 2024
Verification: View Certificate
Key Skills: Basic Concepts | Reconnaissance | Vulnerabilities | Networks
TryHackMe • 2024
Verification: View Certificate
Key Skills: Introduction to Security | Systems | Networks | Basic Linux
An overview of my technical and transferable skills developed throughout my professional journey
Libraries: Python, PyTorch, scikit-learn, NumPy, pandas, cuML, cuDF
Techniques: Classification, Anomaly Detection, Clustering, Deep Learning, Transformers, Feature Engineering
Tools: LangChain, FAISS, RAG, Vector search & embeddings
Methods: AI Agents, Prompt engineering, LoRA / PEFT fine-tuning
Deployment: Docker, Kubernetes, FastAPI, CI/CD, Git
Monitoring: MLflow, Prometheus & Grafana, Kafka
Protocols: TCP/IP, VPN, VLAN, NetFlow, DNS
Systems & Tools: Linux, REST API, MySQL, C, Wireshark
Ready to talk about your next project? Feel free to get in touch