{"id":1,"date":"2024-12-31T01:58:22","date_gmt":"2024-12-31T01:58:22","guid":{"rendered":"http:\/\/www.advancedsystemsgrp.com\/?p=1"},"modified":"2025-07-01T19:48:43","modified_gmt":"2025-07-01T19:48:43","slug":"hello-world","status":"publish","type":"post","link":"https:\/\/www.advancedsystemsgrp.com\/?p=1","title":{"rendered":"Projects"},"content":{"rendered":"\n<p><\/p>\n\n\n\n<p>6\/24 &#8211; Built a serverless API deployed on AWS using AWS API Gateway, Lambda, DynamoDB, Terraform.<\/p>\n\n\n\n<p>11\/24 &#8211; Developed a machine learning model to detect fraudulent property claims submissions.  Model was defined, trained, tuned and deployed using AWS SageMaker.<\/p>\n\n\n\n<p>1\/25 &#8211; Built an IVR voice bot for an after call survey voice flow using AWS Connect, Lex, Kinesis, S3, DynamoDB, Lambda (GoLang), StepFunctions, Terraform that is targeted for a 1st quarter 2025 deployment.<\/p>\n\n\n\n<p>1\/25 &#8211; Implemented an AWS Connect flow that uses a Lex bot triggering a Lambda function written in Python that uses the open source LangChain library to build an agent that uses the Anthropic Claude 2 LLM through Bedrock. Embeddings created after uploading content to S3 is processed by OpenSearch and used to augment the content LLM can use to reply to questions (RAG implementation).<\/p>\n\n\n\n<p>1\/25 &#8211; Implemented Infrastructure as a Code (IaC) VPC networking and EC2 web application components in AWS using both AWS CDK (Python) and Terraform.<\/p>\n\n\n\n<p>6\/25 &#8211; Training Artifacts : Building AI Agents: Complete Developer Guide <a href=\"https:\/\/claude.ai\/public\/artifacts\/f89d87d6-9544-4a1a-8c0c-f9c5264f149e\">https:\/\/claude.ai\/public\/artifacts\/f89d87d6-9544-4a1a-8c0c-f9c5264f149e<\/a><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>6\/24 &#8211; Built a serverless API deployed on AWS using AWS API Gateway, Lambda, DynamoDB, Terraform. 11\/24 &#8211; Developed a machine learning model to detect fraudulent property claims submissions. Model was defined, trained, tuned and deployed using AWS SageMaker. 1\/25 &#8211; Built an IVR voice bot for an after call survey voice flow using AWS &hellip; <a href=\"https:\/\/www.advancedsystemsgrp.com\/?p=1\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Projects<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/www.advancedsystemsgrp.com\/index.php?rest_route=\/wp\/v2\/posts\/1","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.advancedsystemsgrp.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.advancedsystemsgrp.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.advancedsystemsgrp.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.advancedsystemsgrp.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1"}],"version-history":[{"count":12,"href":"https:\/\/www.advancedsystemsgrp.com\/index.php?rest_route=\/wp\/v2\/posts\/1\/revisions"}],"predecessor-version":[{"id":162,"href":"https:\/\/www.advancedsystemsgrp.com\/index.php?rest_route=\/wp\/v2\/posts\/1\/revisions\/162"}],"wp:attachment":[{"href":"https:\/\/www.advancedsystemsgrp.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.advancedsystemsgrp.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.advancedsystemsgrp.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}