Ambe Frankline Ambe

Certified AWS Solutions Architect Associate with 3+ years of experience in architecting cloud solutions. Seeking opportunities to leverage my expertise in designing highly available, cost-optimized, and secure private/public cloud infrastructures using Amazon Web Services (AWS). Adept in cloud administration, automation, and application hardening, I excel in both independent and collaborative settings. Committed to delivering scalable and efficient systems aligned with business objectives.

• AWS Certified Solutions Architect
• AWS Certified Cloud Practitioner
• AWS Technology Serverless Badge
• AWS Well-Architected Foundation Badge
• Complete Python Mastery - Mosh Coding Made Simple
• CompTIA Security+ (In Progress)

Founded and successfully managed 'CRYPTO-MANAJA, a small cryptocurrency trading business. Demonstrated strong leadership and entrepreneurial acumen, resulting in substantial revenue growth, the development of successful trading strategies that outperformed market benchmarks, and high levels of customer satisfaction.

• Ambe-Portfolio-site: Designed and developed a personal portfolio website using HTML and CSS, showcasing my skills, projects, and cloud journey in a visually appealing and user-friendly manner. It utilizes AWS services like S3 bucket, Route53, and CloudFront, and requested an SSL certificate to optimize customer engagement and improve website performance, reducing latency for users across different geographical locations. Visit the link in the contact section. Use Case: The primary goal of the Ambe-Portfolio-site is to enhance my online presence and provide a platform to display my expertise and accomplishments. Leveraging AWS services ensures that the website loads quickly and reliably for UI/UX around the world.
• BurgerBuddy Chatbot: Designed and implemented the Chabot's backend logic on AWS for ordering burgers, sides, and drinks from my three best burger vendors in Silver Spring, MD using Amazon Lex, integrated with a Lambda Function, and connected it to a static website hosted on S3 using Kommunicate with CloudFront, Route53, and an SSL certificate. Use Case: Integration with the ordering system to ensure accurate order processing and seamless customer experience.
• Ambe-Gadget-Company: Configured a customer service call center on AWS using Amazon Connect, integrated with a Lambda Function for an imaginary company called AMBE GADGET COMPANY. +1(267) 867-5202. Use Case: This architecture enables businesses and organizations to enhance ticketing systems, self-service virtual agents, real-time analytics & agent assistance, and post-call analytics. Improving personalized and efficient customer service experiences, reducing response time.
• Facial Recognition React App: Orchestrated a React Facial Recognition App on AWS from Scratch using services such as; Rekognition, Lambda, DynamoDB, API Gateway, and S3. This app uploads authorized workers' images in an employee S3 bucket which triggers a registration lambda function to generate a unique key using AWS rekognition and store these keys alongside the worker's personal information on a DynamoDB table. A verification process is performed using a REST API gateway PUT method to store a visitor's image in a visitor's S3 bucket for future analyses, and a GET method to invoke an authentication lambda function that uses AWS rekognition to generate information about the uploaded image and uses this keys and information to deliberate with the worker's information stored on the DynamoDB table. Use Case: Implement machine learning algorithms to enhance security and access control in a large corporate campus, ensuring accurate real-time identification of individuals, simplifying access for authorized personnel, and automating key processes.
• Three Tier Web-App with Route53 Multi-Region Active/Active Failover: Engineered a secured, highly available, and fault-tolerant three-tier web app in two regions (Primary and Secondary) which involved the usage of terraform as an Iac to orchestrate the creation of two VPCs with its necessary components (private/public subnets, NAT-GW, Internet-GW, security groups) alongside the EC2 instances, Application Load balancers, Auto Scaling groups and a DynamoDB global table with automatic replication. Additionally, a domain name was requested on Route53 with an SSL certificate. Configured two health checks pointing to both Load balancer's DNS endpoints respectively. Created two Arecords for both ALBs with routing policy set as failover while attaching their created health checks respectively. This web app was able to automatically switch traffic from one region to another based on the health check status from the route53, enhancing high availability and optimizing quick recovery. Use Case: Authoring disaster recovery plans, ensuring business continuity, and minimizing potential downtime in the event of a regional failure.

• Ambe-Portfolio-site: Designed and developed a personal portfolio website using HTML and CSS, showcasing my skills, projects, and cloud journey in a visually appealing and user-friendly manner. It utilizes AWS services like S3 bucket, Route53, and CloudFront, and requested an SSL certificate to optimize customer engagement and improve website performance, reducing latency for users across different geographical locations. Visit the link in the contact section. Use Case: The primary goal of the Ambe-Portfolio-site is to enhance my online presence and provide a platform to display my expertise and accomplishments. Leveraging AWS services ensures that the website loads quickly and reliably for UI/UX around the world.
• BurgerBuddy Chatbot: Designed and implemented the Chabot's backend logic on AWS for ordering burgers, sides, and drinks from my three best burger vendors in Silver Spring, MD using Amazon Lex, integrated with a Lambda Function, and connected it to a static website hosted on S3 using Kommunicate with CloudFront, Route53, and an SSL certificate. Use Case: Integration with the ordering system to ensure accurate order processing and seamless customer experience.
• Ambe-Gadget-Company: Configured a customer service call center on AWS using Amazon Connect, integrated with a Lambda Function for an imaginary company called AMBE GADGET COMPANY. +1(267) 867-5202. Use Case: This architecture enables businesses and organizations to enhance ticketing systems, self-service virtual agents, real-time analytics & agent assistance, and post-call analytics. Improving personalized and efficient customer service experiences, reducing response time.
• Facial Recognition React App: Orchestrated a React Facial Recognition App on AWS from Scratch using services such as; Rekognition, Lambda, DynamoDB, API Gateway, and S3. This app uploads authorized workers' images in an employee S3 bucket which triggers a registration lambda function to generate a unique key using AWS rekognition and store these keys alongside the worker's personal information on a DynamoDB table. A verification process is performed using a REST API gateway PUT method to store a visitor's image in a visitor's S3 bucket for future analyses, and a GET method to invoke an authentication lambda function that uses AWS rekognition to generate information about the uploaded image and uses this keys and information to deliberate with the worker's information stored on the DynamoDB table. Use Case: Implement machine learning algorithms to enhance security and access control in a large corporate campus, ensuring accurate real-time identification of individuals, simplifying access for authorized personnel, and automating key processes.
• Three Tier Web-App with Route53 Multi-Region Active/Active Failover: Engineered a secured, highly available, and fault-tolerant three-tier web app in two regions (Primary and Secondary) which involved the usage of terraform as an Iac to orchestrate the creation of two VPCs with its necessary components (private/public subnets, NAT-GW, Internet-GW, security groups) alongside the EC2 instances, Application Load balancers, Auto Scaling groups and a DynamoDB global table with automatic replication. Additionally, a domain name was requested on Route53 with an SSL certificate. Configured two health checks pointing to both Load balancer's DNS endpoints respectively. Created two Arecords for both ALBs with routing policy set as failover while attaching their created health checks respectively. This web app was able to automatically switch traffic from one region to another based on the health check status from the route53, enhancing high availability and optimizing quick recovery. Use Case: Authoring disaster recovery plans, ensuring business continuity, and minimizing potential downtime in the event of a regional failure.