I am a Senior Full-Stack Engineer and AI systems specialist with over 10 years of experience designing, developing, and deploying scalable, production-grade applications. I specialize in large language models, multi-agent architectures, vector databases, and cloud-based infrastructure across AWS and Azure. I have a proven track record of delivering end-to-end AI and web solutions especially in regulated industries such as healthtech. My passion lies in building intelligent systems that solve complex problems in various sectors including healthcare, e-commerce, and SaaS. I enjoy collaborating closely with data scientists and development teams to enhance platform scalability, security, and user engagement through advanced AI technologies and cloud solutions.…

Drew Kindlon

PRO
5.0 (1 review)

I am a Senior Full-Stack Engineer and AI systems specialist with over 10 years of experience designing, developing, and deploying scalable, production-grade applications. I specialize in large language models, multi-agent architectures, vector databases, and cloud-based infrastructure across AWS and Azure. I have a proven track record of delivering end-to-end AI and web solutions especially in regulated industries such as healthtech. My passion lies in building intelligent systems that solve complex problems in various sectors including healthcare, e-commerce, and SaaS. I enjoy collaborating closely with data scientists and development teams to enhance platform scalability, security, and user engagement through advanced AI technologies and cloud solutions.…

Available to hire

I am a Senior Full-Stack Engineer and AI systems specialist with over 10 years of experience designing, developing, and deploying scalable, production-grade applications. I specialize in large language models, multi-agent architectures, vector databases, and cloud-based infrastructure across AWS and Azure. I have a proven track record of delivering end-to-end AI and web solutions especially in regulated industries such as healthtech.

My passion lies in building intelligent systems that solve complex problems in various sectors including healthcare, e-commerce, and SaaS. I enjoy collaborating closely with data scientists and development teams to enhance platform scalability, security, and user engagement through advanced AI technologies and cloud solutions.

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Skills

Experience Level

React JS
Expert
Python
Expert
Node.js
Expert
AWS
Expert
Django
Expert
Docker
Expert
PostgreSQL
Expert
Kubernetes
Expert
Redis
Expert
Twilio
Intermediate
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Work Experience

Senior Full-Stack Engineer at Chewy
March 1, 2025 - September 4, 2025
Led full lifecycle development of e-commerce platforms using React, Next.js, and Node.js, improving customer retention and daily active users. Integrated FastAPI microservices and AWS Lambda for real-time operations including inventory syncing and order tracking. Spearheaded LLM-based recommendation system prototypes using OpenAI embeddings and Pinecone. Designed and implemented CI/CD pipelines with Docker, Kubernetes, and AWS CodePipeline, reducing deployment overhead by 40%. Refactored legacy backend services into modular microservices with Express.js and Redis. Collaborated with data scientists to develop analytics dashboards and real-time event streaming for tracking customer behavior.
Full-Stack Engineer at ELEKS
December 1, 2020 - September 4, 2025
Built custom healthcare and financial systems using Django REST Framework, Angular, and PostgreSQL to improve data accuracy and usability. Designed multi-agent LangChain workflows for parsing medical data with memory modules and ChromaDB. Built retrieval-augmented generation pipelines connecting clinical document loaders to LLM endpoints like GPT-4 and Claude. Led cloud-native modernization migrating apps to AWS with Terraform, ECS, and Fargate. Enhanced platform security and regulatory compliance via RBAC, OAuth2, and secure audit logging. Delivered cost savings by resource optimization and serverless pattern implementation.
Full-Stack Developer at ROI Revolution
May 1, 2017 - September 4, 2025
Developed AI-driven marketing automation dashboards with React, Node.js, GraphQL, and PostgreSQL enabling real-time campaign performance analysis. Integrated marketing APIs with rate-limited syncing and caching strategies. Improved application latency through SSR, lazy loading, and CDN, achieving 35% faster dashboard performance. Engineered ETL pipelines with AWS Lambda, Step Functions, and S3 for data automation. Designed dynamic alerting system for campaign anomalies using AWS services, increasing response accuracy.

Education

Bachelor of Computer Science at University of Florida
January 1, 2008 - January 1, 2012
Master of Science in Computer Science at University of Florida
January 1, 2012 - January 1, 2014

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Retail, Software & Internet, Financial Services
    paper Hexabot.ai

    Designed a no-code chatbot builder with drag-and-drop UI built in React and Node.js, enabling non-engineers to create AI bots.
    Enabled multi-language support, integration with CRMs, and deployment across Messenger, WhatsApp, and
    WebChat.
    Integrated with vector search tools (e.g., ChromaDB) and custom document loaders to support internal
    knowledge base QA bots.

    paper Personal.ai

    Built personalized LLM agents trained on user-specific documents, chat history, and task logs using LangChain, RAG, and GPT-4.
    Developed agent-to-agent communication logic, persistent memory layers using Weaviate and Redis, and
    document loaders from internal CMS systems.
    Delivered secure multi-tenant architecture using FastAPI, OAuth2, and JWT, enabling private and public agent deployments for enterprise clients.
    Improved agent latency by optimizing context windows, async I/O operations, and caching at the vector query
    layer.

    paper Ask JADA

    Built an LLM-powered virtual assistant that handles 24/7 SMS and phone call interactions for small businesses.
    Integrated Twilio, Stripe, and PostgreSQL, and trained AI agents on proprietary business chat and call data.
    Used OpenAI, LangChain, and a fine-tuned memory strategy to deliver high-accuracy appointment booking and inquiry responses.
    Decreased manual response time by 60% and increased customer engagement by 45%