With over 15 years of experience in software development, I am a dedicated Software Architect and AI Engineer, specializing in AI, machine learning, and scalable systems design. I am committed to leading projects from concept to completion, ensuring each solution is secure, scalable, and forward-thinking. My ongoing passion for learning and adapting to the tech landscape fuels my professional journey.
Core Competencies: Proficient in advanced areas such as Machine Learning, NLP, and Computer Vision, actively engaging in continuous education at Stanford's AI program. Experienced in Python, TypeScript, C++, and adept in frameworks like Django and Flask. Skilled in TDD, microservices, serverless, and monolithic architectures. Adept in Docker, Kubernetes, Terraform, and cloud technologies across AWS, Azure, and GCP.
Community Contributions: Creator of the most widely used open-source Cryptosteganography Python library and recognized as the Best Mentor in Intel's Edge AI Scholarship. Long-standing mentor and deep learning guide on Coursera and Workera.
Mission: To partner with forward-thinking organizations, harnessing AI and software technology for impactful growth.
Leadership & Advisory: Offering pragmatic technical leadership and project management, refining strategies to align with industry trends and committed to fostering innovation and continuous improvement.
Python
TypeScript
Javascript
C++
NumPy
PyTorch
Pandas
Matplotlib
Hugging Face
Scikit-Learn
TensorFlow
SpaCy
NLTK
Gensim
OpenCV
AWS
Azure
GCP
Django
Docker
PostgreSQL
MongoDB
DynamoDB
REST API
GraphQL API