Max R.-Senior Freelance Software Engineer – AI | Data | Cloud | DevOps

Serving as AI technical advisor to Dialpad's Telephony Engineering division while building AI products hands-on. Currently developing MCP-based tooling for AI text and voice agents: agent authoring, integrations and adoption of existing agents, shared authentication and API contracts, and durable workflow state. This includes text and voice tests that evaluate agent behavior, latency and task completion.

In parallel, helping Dialpad's engineers adopt QualityLayer and use Claude Code and Codex effectively. This ongoing work covers context management for large codebases, reusable plan-implement-test-review workflows connected to CI/CD, playbooks, hands-on workshops, labs and pair programming.

Technologies: AI Agent Products (Text & Voice Agents, MCP, LLMs, Python, TypeScript), Agent Tooling (Authoring, Integrations, OAuth, Durable State), Quality & Evaluation (Text & Voice Tests, Evals, Regression, Traces), Agentic Engineering (Claude Code, Codex, QualityLayer, Hooks, Prompts), Context Engineering (RAG, Vector Stores, Codebase Embeddings), Software Delivery (CI/CD Integration, Agentic Loops, PR Automation), Enablement & Coaching (Workshops, Hands-On Labs, Pair Programming)

Architected and implemented an AI agent platform using Retrieval Augmented Generation (RAG) to enhance clinical data insights. Established CI/CD pipelines for LLM applications using CDK and Jenkins, reducing deployment times. Implemented comprehensive observability solutions that increased agent reliability across pharmaceutical environments. Designed scalable AI workflows with advanced orchestration that optimized context handling for enterprise data sources.

Technologies: AI Agents (Python, LangGraph, Bedrock, Smolagents, Streamlit), LLM Operations (Tracing, Testing, Evaluation, LangSmith, LangFuse), Infrastructure-as-Code (AWS CDK, Terraform, TypeScript, Jenkins), Vectors, Embeddings, RAG (OpenSearch, pyvector, PDF Extraction)

Developed an analytics platform for clinical trials that reduced operational decision time and improved trial efficiency. Engineered scalable Python microservices that processed complex trial data with high reliability. Implemented AWS CDK infrastructure that automated deployment tasks and optimized cloud resources. Created efficient ETL pipelines that transformed raw clinical data into insights for trial teams. Trained and deployed specialized LLMs that answered complex clinical queries, supporting critical decision-making processes.

Technologies: Large Language Models (Fine-Tuning, LangChain, Azure OpenAI), Python Backend (FastAPI, OpenAPI, Pydantic, Open-/ElasticSearch), Infrastructure-as-Code (AWS CDK, TypeScript, CloudFormation), ETL Pipelines (AWS Glue, Step Functions, Pandas, PySpark, Airflow)

As an independent Senior IT Freelancer, Max combines hands-on product engineering with technical advice and team enablement. He builds AI-powered text and voice products, cloud infrastructure and data platforms, and helps engineering teams adopt coding agents effectively. His experience spans AI and machine learning, cloud, data, DevOps and embedded systems, from technical decisions through implementation, testing and deployment.

Architected a full-stack IoT data platform that processed environmental metrics from numerous sensors with high reliability. Implemented real-time analytics of time-series data using Azure Databricks that improved carbon capture optimization processes. Developed a low-code annotation interface that enhanced data labeling efficiency, accelerating machine learning model development. Created automated data pipelines that enabled precise measurement of carbon capture performance, supporting the company's climate impact goals.

Technologies: Microsoft Azure (Functions, Data Lake, Event Hub, Key Vault, Entra), Data Storage (PostgreSQL, Time-Series, Blob Storage, Data Lake), Data Processing (Databricks, PySpark, Python, Delta Lake), IoT (Azure IoT Hub, IoT Edge, Device Provisioning Service)

Created a blueprint infrastructure-as-code architecture that accelerated the company's cloud migration from on-premise to AWS. Designed and implemented secure network architecture with multi-account strategy that improved security posture. Automated serverless deployments with CI/CD pipelines, shortening release cycles. Established DevOps best practices that enhanced developer productivity and optimized infrastructure costs, supporting the company's digital transformation.

Technologies: AWS Foundation (VPC, Transit Gateway, Direct Connect, VPN, Route53), Security & Compliance (IAM, GuardDuty, Security Hub, CloudTrail), Serverless (API Gateway, SQS, SNS, EventBridge, Python, DynamoDB), Infrastructure-as-Code (Terraform, Terragrunt, AWS CDK, YAML, HCL)

Co-founded and led technical development of an IoT mobility platform that processed real-time, time-series data from numerous devices with low latency. Architected a serverless AWS backend that scaled automatically to handle traffic spikes while maintaining cost efficiency. Implemented machine learning algorithms that improved vehicle detection accuracy, creating competitive advantage in the mobility market. Designed an edge computing solution that reduced cloud data transfer, enabling real-time analytics in bandwidth-constrained environments.

Technologies: Cloud Architecture (AWS Lambda, API Gateway, ECS, Fargate, SQS), Infrastructure-as-Code (Terraform, AWS CDK, Serverless Framework), Machine Learning (TensorFlow, PyTorch, Computer Vision, Python), Edge Computing (Nvidia Jetson, ARM, C++, OpenCV, Embedded Linux)

At ParkHere, Max led the IoT engineering team while developing smart parking solutions. He architected cloud-connected sensor networks, designed ML-based vehicle detection systems, and created embedded firmware for harsh outdoor environments. His technical leadership improved product reliability while scaling the solution across multiple enterprise deployments.

At Bleenco, Max engineered a modular computer vision framework for industrial safety applications. He developed AI models for human behavior analysis, emotion recognition, and anomaly detection optimized for edge deployment. His work established the foundation for the company's core technology platform, enabling rapid deployment across diverse industrial environments.