Frank Wasi
Development
TX, United States
Skills
Cloud Computing
About
Frank Wasi's skills align with IT R&D Professionals (Information and Communication Technology). Frank also has skills associated with System Developers and Analysts (Information and Communication Technology). Frank Wasi has 14 years of work experience.
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Work Experience
Title ML AI Engineer
Microsoft
November 2023 - March 2024
- Primary Responsibilities: * Worked closely with Eng and Prod team to understand their questions and needs, and how to optimize a solution based on prompt creation and engineering methods * Developed and wrote prompts, build characters, and used the right combination of tools and frameworks to evaluate prompts and models * Delivered detailed reports on prompts and quality analysis on how prompts impact quality KPIs for conversational agents * Provided eng and prod teams with a deep understanding of the process, generated data, insights and evaluation figures * Worked closely with development teams to analyze GPT based experiences, prompts and other relevant details to provide feedback and guidance regarding globalization, Localizability and language readiness. * Participated in team meetings to discuss project and technical issues and coordination with other team members. * Analyzed the feedback and iterate on prompt completions to improve user experiences. * Created prompt flows for features & translated the input & prompts in different languages. * Validated the data for grammar, spellings, English translations and responses * Identified languages missing from the feature & backfilled missing languages * Monitored LLM's - Language Quality Evaluation based on automated and human validation in Power BI * Develop chatbots using Azure Bot Service, Language Understanding (CLU), Java scripts and Cognitive Services. * Collaborate with translation vendor on prompt validations in multiple languages and support the team on required prompts updates * Participate in team meetings to discuss project and technical issues and coordination with other team members * Analyze the feedback and iterate on prompt completions to improve user experiences * Worked with large language features/copilots to expand into more languages such as French, German & Japanese * Merge NL2Table test results for different languages into a single .csv * Design, develop, test, deploy, maintain and service chatbots * Use advanced tech to improve the chatbot user effectiveness * Participate in all stages of chatbot development, from design to implementation * Used Pycaret for ML algorithms such as regression * Used Pandas and NumPy for data manipulation and analysis of large datasets * Used Google Colab for data analysis and visualization * Used Docker to containerize AI models and Kubernetes for deploying, managing And scaling applications in AWS and Azure environment
ML AI Engineer
NTT DATA
October 2019 - November 2023
- Primary Responsibilities: * Discuss used cases with the team & translate into technical requirements like summarization, classification, translation & text generation. * Led the integration of Azure AI and OpenAI services into existing solutions, enhancing functionality and user experience across various platforms. * Developed and executed architectural design sessions, successfully piloted proof of concepts using Azure AI Services and Azure OpenAI Services. * Supported internal teams by providing expertise in AI technologies including Speech, Vision and Text * Ensured all AI solutions adhered to safety and security policies, focusing on bias mitigation and data privacy during the development and deployment phases. * Translated non-technical business requirements into robust technical solutions, streamlining operations and supporting strategic objectives * Generated function, Code creation, optimization, and fixed script with ChatGPT * Managed AI development projects using Azure DevOps, facilitating team collaboration and ensuring timely delivery * Created Machine Learning jobs with the provided requirements * Generated the language input & output (Prompt Flows) for missing languages in GPT3.5 for several features * Used (Retrieval-Augmented Generation - RAG to enhance the accuracy, reliability, and timeliness of Large Language Models (LLMs) that allows to answer questions about data it's not trained on, including private data * Worked with prompt types like summarization, information extraction, question answering, text classification & code generation. * Leveraged Azure ML Studio to build and deploy a customer churn prediction model for a client * Optimized image processing models within Azure Machine Learning, improving processing speed by 30% * Applied Convolution Neural Networks using Azure Cognitive Services to develop an automated diagnostic tool for X-ray image analysis * Created a sentiment analysis tool with Azure Text Analytics to understand customer feedback * Performed LLM - Language quality evaluation based on automated and human validation * Created Prompt Flows in Azure AI Machine Learning Studios * Stayed updated with the latest Azure AI developments and best practices through Microsoft Learn and Azure-specific training courses * Presented AI strategies and results to non-technical stakeholders, utilizing Azure's visualization tools to illustrate key points and outcomes. * Produced detailed documentation for AI systems using Azure API Management and Azure Logic Apps, ensuring clarity and compliance with industry standards. * Engaged in R&D projects that explored new AI capabilities, utilizing Azure Machine Learning and Azure Notebooks for experimentation and model training.
ML CLOUD ENGINEER
Facility
August 2017 - September 2019
- Primary Responsibilities: * Responsible for deployment and maintenance of the software at data centers * Configured AWS services such as EC2 * S3 * ELB * ECS * ECR * Parameter Store * VPC * Cloud Formation * Cloud Inspector * Cloud Trail * Cloud Watch and IAM, JAVA * Led deployment of projects and training of sellers and partners * Created NAT gateways and instances to allow communication from the private instances to the internet. * Created security groups * network ACL'S * internet gateways and route tables in AWS public cloud. * Used security groups * network ACL's * internet gateways and route tables to ensure a secure zone for organization in AWS public cloud. * Implementing detailed monitoring for cloud environment and notification system using cloud watch and Simple notification system. * Implemented new EC2 instances and worked with EBS * Virtual Private Cloud (VPCs) and S3. * Configured AWS IAM and Security Groups in Public and Private Subnets in VPC. * Worked on deployment of complex infrastructure using AWS CLI and AWS Console. * Experienced in configuring and implementing various AWS components such as Elastic IPs * EBS * Elastic Cache * Elastic Beanstalk * Dynamo DB * Red shift and Cloud Formation.
Network Engineer
Facility
September 2010 - August 2017
- Primary Responsibilities: * Managed and configured AWS services as per the business needs * Estimated AWS costs and identified cost control mechanism. * Designed and implemented both the front end and back-end systems that run on AWS. * Configured Security Groups * Network ACL's * Route Tables * Elastic ip's and internet Gateway in VPC * Responsible for configuration * troubleshooting * modification * and maintenance of all VoIP and network hardware such as routers * switches * Servers & IP Phones * Daily tasks included network monitoring * network incident management * responding to user requests as required and participating in network projects. * Reduced and controlled expenses by optimizing on-site work process. * Network design & configuration for RBC Data Centre Migration Project
Education
