
Skills Overview
My expertise lies in crafting end-to-end solutions that combine cutting-edge AI technologies, scalable cloud architectures, and seamless DevOps pipelines. With over 9 years of experience, I’ve:
• Automated workflows and improved deployment efficiency by 40% through advanced CI/CD pipelines.
• Designed Kubernetes clusters and optimized resource allocation, saving $1.5M annually in infrastructure costs.
• Delivered secure AI systems with 100% compliance across SOX, GDPR, and other regulatory frameworks.
Explore how my technical and leadership skills drive measurable results and enable innovative, scalable solutions.
Technical Skills
Programming Languages
• Proficient: Python, R, SQL (Developed over 50+ AI models and managed large-scale data pipelines).
• Experienced: TypeScript, Node.js, React (Delivered interactive UIs for AI-driven applications).
Machine Learning & AI
• Frameworks: TensorFlow, PyTorch, Scikit-Learn
• Libraries: NumPy, Pandas, NLTK, spaCy, BERT
• Applications: NLP, predictive modeling, feature engineering (Improved prediction accuracy by 25-30% across various projects).
Cloud Platforms
• AWS (S3, EC2, EKS, Bedrock), Azure ML, Google Cloud AI Platform
• Designed Bedrock-enabled infrastructures, achieving 99.9% system uptime.
DevOps & Automation
• Containerization & Orchestration: Docker, Kubernetes (Configured Kubernetes clusters with auto-scaling, reducing latency by 20%).
• CI/CD Pipelines: Jenkins, Argo CD, Terraform, Git (Decreased deployment errors by 50% through automation).
Data Management
• Databases: SQL (Oracle, MySQL, PostgreSQL), NoSQL
• Data Integration & Processing: ETL pipelines, data wrangling, data quality monitoring (Streamlined processing time by 40%).
Visualization & Analytics
• Tools: Tableau, Power BI, Excel (Generated dashboards that reduced decision-making time by 30%).
• Expertise in forecasting, statistical analysis, and data storytelling.
Soft Skills
Strategic Problem-Solving
• Skilled at diagnosing complex challenges and delivering innovative, data-driven solutions.
• Example: Identified inefficiencies in infrastructure, reducing costs by 30% through optimized architecture.
Team Collaboration
• Proven ability to work cross-functionally with developers, data scientists, and stakeholders.
• Example: Led 10+ multi-disciplinary teams, accelerating project delivery timelines by 20%.
Effective Communication
• Expert at translating technical concepts into actionable insights for diverse audiences.
• Delivered 100+ training sessions to foster AI adoption and skill development.
Leadership & Mentorship
• Experienced in guiding and mentoring junior engineers, improving team productivity by 25%.
• Example: Established best practices that enhanced team efficiency in DevOps workflows.