maxmilliamdev

● Designed an auto-transcribe tool, analysing vocabulary range to predict dementia decline, using AWS Transcribe and NLTK. ● Integrated FLUX Kontext into the MongoDB backend to allow clinicians to generate lifelike memory recreations. ● Developed a React/TypeScript frontend with Django REST and TensorFlow.js AI-avatar for monthly cognitive screenings.

● Built Kafka and Airflow pipelines to stream reviewer activity SRT into Snowflake, powering analytics for 6 global QA teams. ● Created Looker dashboards to surface review velocity, task queues, and escalation volume, eliminating reports for ops leads. ● Optimised SRT’s task-routing logic to prioritise sensitive reviews, improving reviewer focus and reducing time during surges. ● Executed content moderation jobs under strict SLAs, maintaining speed and precision across thousands of high-visibility cases. ● Exposed reviewer metrics via REST APIs, enabling Community Ops to track productivity and enforce adherence in real time. ● Refined access controls in Business Manager to scale permissioning across advertisers, agencies, and multi-page asset groups. ● Standardised reviewer event logs with a dbt-based metadata layer, streamlining query logic and improving audit clarity. ● Deployed Grafana dashboards for real-time pipeline health and SLA alerts, cutting investigation time during system slowdowns. Tools: Meta AI Studio, Llama, Single Review Tool (SRT), MovieGen, Metamate, CodeCompose, PyTorch, Meta Business Suite, Meta Ads Manager, Meta Events Manager, Meta Commerce Manager, Meta Creative Hub, Tableau, Oracle OCI AI Infrastructure

● Deployed and scaled secure cloud environments on Azure and Google Cloud for clients, ensuring compliance and resiliency. ● Built and maintained CI/CD pipelines with Azure DevOps and GitHub Actions, enabling automated deployments across staging. ● Resolved critical OS and network issues across hybrid systems, using root cause analysis and debugging to reduce outages. ● Containerised workloads with Docker and managed deployments via Kubernetes, supporting microservices and service mesh. Tools: GitHub, Kubernetes, Linux, Windows, Azure, Google Cloud, JIRA, Confluence, ELK Stack, Splunk, Datadog, CloudWatch

● Designed and maintained real-time pricing APIs and trading components using Java and multithreaded design for low-latency. ● Partnered with traders and quants to implement business-critical features, ensuring rapid iteration with clean, testable code. ● Contributed to the redesign of Citi’s equity derivatives architecture, enhancing maintainability and compliance with audit. Core Skills: financial analysis | root cause analysis | business performance metrics | data mining | risk assessment | statistics | React