We design and implement cutting-edge AI, ML, and data engineering solutions that drive automation, enhance decision-making, and unlock new business opportunities with speed, security, and scalability.
At Fcode Labs, we leverage a modern tech stack to build scalable, secure, and high-performing digital solutions. From front-end frameworks to powerful back-end systems, we use industry-leading tools to bring your vision to life
Programming & Frameworks
Languages: Python
ML Frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost
Deep Learning Libraries: Keras, FastAI, Hugging Face Transformers
Data Engineering & Big Data
Data Processing Frameworks: Apache Spark, Apache Flink, Hadoop
Data Warehouses & Storage: Snowflake, Google BigQuery, AWS Redshift
ETL Pipelines & Data Ingestion: Apache Airflow, AWS Glue
Unsure Which AI/ML Framework or Model Architecture to Choose?
Ramesh Rathnayake
Selecting the right AI/ML framework and architecture is key to building scalable and high-performance models. Ramesh will guide you in choosing the best deep learning models, cloud AI infrastructure, and deployment strategies for long-term success.
How Can You Ensure AI Model Quality and Automate Testing?
Muqshid Mohamed
Ensuring AI models perform accurately and efficiently requires robust testing and automation. Muqshid will help you implement AI model validation, bias detection, automated ML testing, and continuous monitoring to enhance model reliability and fairness.
Concerned About AI Ethics, Data Security, and Compliance?
Pansuja Senevirathna
Ensuring AI model fairness, handling sensitive data, and complying with cross-border regulations are crucial for trust and security. Pansuja will guide you in securing AI architectures, implementing GDPR-compliant data practices, and managing ethical AI governance.
