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Andrew M. - Aws, Artificial Intelligence, AWS

My name is Andrew M. and I have over 10 years years of experience in the tech industry. I specialize in the following technologies: C#, SaaS, .NET Framework, SQL, ASP.NET, etc.. I hold a degree in Bachelor of Science, Information Systems, , . Some of the notable projects I’ve worked on include: 8 Figure Exit - 4 Month SaaS App Rebuild - Azure - Cloud App - .NET, Data Heavy AI SaaS App Development - OpenAI - .NET - Vector Search, Developed #1 SMS SaaS App For US Real Estate Investors: $13M+ Revenue, Cloud Based SaaS App Development - US Hospitality Client - .NET, AI for assessing candidate resumes or social profiles, etc.. I am based in Johnson City, United States. I've successfully completed 13 projects while developing at Softaims.

My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.

I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims’ clients by reducing infrastructure costs and improving user satisfaction.

I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.

Main technologies

  • Aws

    10 years

  • C#

    7 Years

  • SaaS

    3 Years

  • .NET Framework

    9 Years

Additional skills

  • C#
  • SaaS
  • .NET Framework
  • SQL
  • ASP.NET
  • Web Development
  • Web Application
  • Microsoft Azure
  • Chatbot
  • Customer Portal
  • Customer Relationship Management
  • B2B Marketing
  • Machine Learning
  • Chatbot Development
  • Artificial Intelligence
  • AWS

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Experience Highlights

8 Figure Exit - 4 Month SaaS App Rebuild - Azure - Cloud App - .NET

I led the app development of AMZAlert’s re-engineered SaaS platform after the original codebase, built by low-cost freelancers, crumbled under their growth. My team stabilized their legacy system in a week, then rebuilt it in just 4 months using our proprietary SaaS app development framework. We delivered 15-minute SLA monitoring for 10,000+ ASINs per seller, Slack/Jira integrations, and 99.9% uptime. The result: no more refunds, excellent reviews, top site rankings, and an 8-figure exit to Carbon6.io https://www.carbon6.io/blog/amzalert-brings-new-upgrades-with-carbon6-partnership/

Data Heavy AI SaaS App Development - OpenAI - .NET - Vector Search

I lead the development of SiftScore.ai, an AI-powered market-mapping and talent-sourcing SaaS that helps executive-search firms eliminate “sourcing debt.” In just 8 months, I led the end-to-end development, combining vector search and OpenAI LLM scoring across 35 million companies and 700 million talent records. SiftScore delivers ranked job candidate lists and market maps in seconds. With natural-language queries, recruiter-friendly UI, and usage-based pricing, it cuts long-list build time by 80% and helps recruitment firms find fresher, richer data faster, with instant CRM integration.

Developed #1 SMS SaaS App For US Real Estate Investors: $13M+ Revenue

I led the build of LaunchControl.us, a text-marketing SaaS app for real estate investors needing speed and compliance in their marketing and lead gen. Cold calls fail 90% of the time, and generic SMS tools risk blocks and fines. My team of five delivered an MVP app in 3 months and v1 in 6. Highlight features included: carrier-smart routing, auto-varied drip campaigns, compliance warnings, and CRM integration. Result: 90% deliverability, 98% open, 20% response rates. The company grew to 80+ staff and $13M+ revenue, becoming the #1 platform for investors.

Cloud Based SaaS App Development - US Hospitality Client - .NET

For my client GuestBan, I led my team to develop a Cloud DNR (do not rent) and ID-scanning SaaS app that went from concept to live in just 5 months. We engineered a multi-tenant platform using our .NET framework, enabling ID capture in about 2 seconds and instant risk scoring from a cloud DNR server. Our property management system connectors (including Hilton ONQ) allow zero-downtime deployment. With encryption, audit trails, and sister-hotel auto-sync, GuestBan now secures over 1M check-ins monthly and was named “Best Hospitality ID Scanning Solutions Provider 2024” by LUXlife.

AI for assessing candidate resumes or social profiles

We used AI in the recruitment / staffing industry to automate an internal business process that will provide significant savings as well as increased accuracy. Resulting in a competitive advanced generated by large language model OpenAI GPT 4

Education

  • San Diego State University

    Bachelor of Science, Information Systems in

  • Lean Engineering

    in 75+ Apps Delivered - Professional App Development

  • Lean Engineering

    in Multiple 7-8 Figure Exits Supported - SaaS & AI App Development

Languages

  • English
  • Spanish

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