Skills

Here’s an overview of my core technical competencies and the technologies I leverage to build robust, scalable, and data-driven solutions.

Core Competencies

• Backend Development & System Architecture: Designing, building, and optimizing scalable and maintainable server-side applications, APIs (REST, gRPC), and microservices, primarily using Python and Go. Experienced in leading end-to-end development cycles from requirements gathering to deployment.
• Cloud Engineering & DevOps: Architecting, deploying, and managing applications on cloud platforms (GCP & AWS). Proficient in containerization (Docker), orchestration (Kubernetes), CI/CD pipelines, infrastructure-as-code principles, and Linux system administration. (GCP Certified Professional Cloud Architect & Data Engineer)
• Data Engineering & Machine Learning: Developing data processing pipelines, performing large-scale data analysis (Pandas, Spark), building and deploying machine learning models (Scikit-learn, Keras), and exploring GenAI applications (LLMs, Agent/Chatbot development).
• Database Design & Management: Working with relational (PostgreSQL, MySQL) and NoSQL (MongoDB) databases, including data modeling, query optimization, and ORM usage. Experience with search technologies like Elasticsearch.
• Identity & Access Management (IAM): Implementing secure authentication and authorization solutions using modern protocols and platforms like Auth0 and OpenFGA. (Okta Certified Customer Identity Cloud Developer)
• Full Software Development Lifecycle: Experienced in requirements analysis, system design, prototyping, implementation, unit/integration testing, code review, deployment, and monitoring within Agile/Scrum methodologies.

Technologies & Tools

Cloud Platforms & Services:

• Google Cloud Platform (GCP): Compute Engine, Kubernetes Engine (GKE), Cloud SQL, BigQuery, Dataflow, Vertex AI, Cloud Functions, Pub/Sub
• Amazon Web Services (AWS): EC2, SQS, Lambda, S3, RDS
• Platform-as-a-Service (PaaS): Heroku, DigitalOcean

Languages:

• Primary: Python, Go
• Secondary: Java, JavaScript / TypeScript, SQL, Shell Scripting

Backend Frameworks & APIs:

• Python: Django, Django REST Framework, FastAPI
• Go: Echo
• Java: Spring Boot
• API Technologies: RESTful APIs, gRPC
• Node.js

Databases & Data Stores:

• Relational: PostgreSQL, MySQL, Oracle, SQLite (Experience with various ORMs: Django ORM, Go pg, Hibernate)
• NoSQL: MongoDB
• Search: Elasticsearch

Data Engineering & Machine Learning:

• Libraries: Pandas, NumPy, Scikit-learn, Keras, TensorFlow, PyTorch, Apache Spark
• Tools: Jupyter Notebook
• GenAI/Chatbot: Experience with LLMs, Dialogflow, Agent Frameworks (LangChain, LangGraph)
• Visualization: Matplotlib, Seaborn, Tableau

DevOps & Infrastructure:

• Containerization & Orchestration: Docker, Kubernetes
• CI/CD: GitHub Actions, Jenkins
• Version Control: Git, GitHub/GitLab
• Infrastructure as Code (IaC): Terraform
• Operating Systems: Linux (Server configuration, administration)
• Monitoring: Experience with logging and monitoring tools (e.g., Prometheus, Grafana, ELK Stack, Datadog)

Identity & Access Management (IAM):

• Auth0, OpenFGA, OAuth 2.0, OpenID Connect, Topaz

Web Technologies:

• Frontend: React JS, HTML, CSS
• Web Crawling: Beautiful Soup, Selenium

Other Technologies:

• Blockchain: Ethereum, Solidity, Smart Contracts, IPFS
• Mobile: Android Native (Java), Flutter
• Payment Processing: Stripe