

Associate AI Engineer specializing in Azure AI, improving operational efficiency by 30% and reducing costs by 20%. Proven ability in architecting and implementing AI-based solutions to enhance security and predictive accuracy. AWS Cloud Practitioner and Cybersecurity Professional certified, skilled in integrating AI with cloud security for robust, end-to-end solutions. Recognized for exceptional problem-solving, customer service, and a commitment to ethical AI practices. Adept at using innovative technologies to solve complex problems and elevate business performance in independent and team environments.
· Boosted task processing efficiency by 18% and increased data processing speed by 15% through strategic implementation and system optimization.
· Solved complex business challenges and delivered transformative AI-driven projects, achieving a 25% improvement in business performance by integrating advanced AI technologies with Python, TensorFlow, PyTorch, and Keras.
· Enhanced system reliability, performance, and resilience, reducing downtime by 12% through streamlined deployment processes and refined model integration.
· Ensured precise, scalable, and error-free AI project implementations, significantly improving data integrity by 20% and user satisfaction by 30%
· Pioneered the implementation of AWS Cloud Adoption Framework, accelerating cloud transition.
· Boosted system performance by adeptly configuring key AWS services (EC2, S3, RDS).
· Upheld rigorous cloud security protocols, preserving data integrity.
· Administered IAM roles, fortifying system security.
· Enhanced operational efficiency by 30% through automation of cloud infrastructure deployments.
· Analyzed AWS operational metrics to drive service improvements.
· Streamlined AWS cloud operations, leading to a 15% cost saving by perfecting resource allocation.
· Pioneered a scalable AWS backup solution, reducing recovery times by 25%.
· Initiated the use of AWS Lambda for scalable, serverless computing solutions.
· Refined AWS network configurations, enhancing throughput by 15%.
· Enhanced network security and access controls, achieving a 20% reduction in security incidents and a 15% decrease in unauthorized access attempts.
· Monitored network traffic and swiftly responded to potential threats, reducing incident response time by 20% and minimizing risk exposure.
· Implemented secure user access permissions and safeguarded critical data, resulting in a 25% reduction in system downtime.
· Developed and enforced clear cybersecurity guidelines and protocols, promoting compliance and increasing overall security awareness by 30%.
· Streamlined tech support processes, improving operational efficiency by 25% and reducing resolution time by 30%.
· Enhanced user satisfaction through optimized help desk operations, resulting in a 20% increase in positive feedback and a 15% decrease in user-reported issues.
· Increased IT system reliability by 30% via proactive upgrades and maintenance, leading to a 25% reduction in system downtime.
· Documented incident resolutions to refine the knowledge base and improve problem-solving efficiency by 35%.
· Achieved 99% network uptime by leading critical system updates and implementing proactive monitoring solutions.
· Conducted detailed system audits to rectify vulnerabilities and enhance system security by 40%.
· Reduced system recovery time by 40% through optimized backup protocols and disaster recovery planning.
· Enhanced system stability with refined hardware setup procedures, resulting in a 15% decrease in hardware-related issues and a 20% increase in system uptime.
Security operations and compliance
Remote technical support and troubleshooting
Hardware and software repair
Enhancing system reliability and performance
Reducing costs through optimized resource allocation
Automation of cloud deployments
Improving system reliability and performance
MICROSOFT AZURE - AI ENGINEER ASSOCIATE
MICROSOFT AZURE - AI FUNDAMENTALS
AMAZON WEB SERVICES (AWS ) - CLOUD PRACTITIONER
ISC2 – CERTIFIED CYBERSECURITY (CC)
COMPTIA - A+