Technical Expertise

The Toolkit of an Innovator

My technical expertise spans multiple domains, reflecting my interdisciplinary approach to problem-solving. From deep learning and cloud architecture to hardware design and bioinformatics, I've developed a versatile skillset that allows me to address challenges from multiple perspectives and integrate solutions across traditional boundaries.

Core Competencies

AI & Machine Learning

Deep Learning (TensorFlow, PyTorch, LLMs)
Neural Network Architecture Design
Computer Vision (OpenCV)
Natural Language Processing
Recurrent Neural Networks (LSTM, GRU)
MLOps (Vertex AI, MLflow)

Cloud & Infrastructure

Google Cloud Platform (GCP)
Amazon Web Services (AWS)
Microsoft Azure
Kubernetes (GKE, EKS)
CI/CD (Jenkins, GitHub Actions)
Infrastructure as Code

Software Development

Python (Django, Scientific Libraries)
JavaScript/TypeScript (Node.js, Vue 3, React)
Database Design (MongoDB, PostgreSQL)
Windows Programming (C#, WPF)
Genetic Algorithms
Microservices Architecture

Hardware & Electronics

Embedded Systems
PCB Design (EagleCAD)
Sensor Integration (I2C, MODBUS-RTU)
SCADA Systems
IoT Networks
Digital Design with FPGA (Verilog/VHDL)

Bioinformatics

Next Generation Sequencing (NGS)
RNAseq Denovo Assembly
Microarray Analysis
Proteomics
Drug Discovery
NCBI BLAST+, GFF3, STAMP

Cybersecurity

Security Engineering & Architecture
Encryption & Data Protection
Network Security
Cloud Security (GCP, AWS, Azure)
Ethical Hacking & Penetration Testing
Security Audits & Compliance

Certifications

Continuous learning is central to my professional philosophy. I've pursued extensive certification across cloud platforms, AI specialties, and cybersecurity to ensure my work leverages current best practices. These credentials reflect not just technical knowledge, but a commitment to building solutions that are scalable, secure, and forward-looking.

Google Certified

Google