Al Rifat

Al Rifat

Aspiring Software Engineer | Applied Mathematics & Computing | Co-Founder at Meridius Labs | ML pipelines, real-time transcription, and cloud deployments

2 yrs experience · New York, NY · <10 hrs/week

About

Senior at University at Buffalo majoring in Applied Math. Proficient in JavaScript, Python, and Go, with hands-on software engineering experience in performance optimization, data visualization, and cloud deployments. Co-founded Meridius Labs and led development of a cross-platform ML-powered portrait app; experienced with OpenAI Whisper, GKE, and Terraform. Seeking a Software Engineer role to solve complex problems in a collaborative team.

Skills

Express.jsHTML/CSSJavascriptMERNNext.jsNode.jsReactTypeScriptWeb Development

Experience

  • Software Engineer Intern · Optum06-01-2025 – 08-01-2025

    Developed real-time patient–clinician transcription system using OpenAI Whisper and Google MedGemma LLM; live transcriptions streamed via Server-Sent Events; Built an Angular-based UI for structured medical documentation forms, integrated with a Python/FastAPI backend for transcription processing and AI-driven data extraction; Deployed on Google Kubernetes Engine, supporting hundreds of clinical users; Reduced documentation time by ~79% and saved an estimated $130,000 annually; Implemented Azure AD Single Sign-On for Grafana via Terraform for secure, passwordless access.

  • Co-Founder · Meridius Labs01-01-2025 –

    Launched a cross-platform mobile app (iOS & Android) that transforms user selfies into studio-quality portraits using a custom fine-tuned FLUX-1 model; Optimized an end-to-end training pipeline by fine-tuning diffusion model using LoRA technique, resolving challenges in facial fidelity, and pose consistency— achieving a 95% structural accuracy.

  • Software Engineer Intern · Optum Inc. – UnitedHealth Group06-01-2024 – 08-01-2024

    Implemented Grafana dashboard uniting data from Apache Kafka CCC, SolarWinds DPA, and Elastic APM, saving $115,000 annually and enhancing data visualization; Reduced server downtime by 5 minutes by customizing alerts and threshold metrics to monitor system performance and application health using Elastic APM, SolarWinds, and Zabbix. Streamlined internal access and enhanced security by implementing Azure AD Single Sign-On for Grafana via Terraform, eliminating reliance on Delinea password management.

  • Software Engineer Intern · UnitedHealth Group08-01-2023 – 12-01-2023

    Developed a Salesforce-based feedback infrastructure using Apex (Java), React.js, and MySQL to support stakeholders managing ~1,000,000 member inquiries daily; Deployed to Google Cloud Kubernetes, reducing operational costs by 15%; Wrote 50 Jira user stories to define feature requirements.

  • Software Engineer Intern · UnitedHealth Group06-01-2023 – 08-01-2023
  • Software Engineer Intern · Seidenberg Creative Labs – Pace University06-01-2022 – 01-01-2023

    Developed a full-stack employee management system using Express.js, MongoDB, and Amazon S3, enhancing efficiency in managing members and applications; Researched performance issues and proposed automation tools and frameworks, reducing application load time by 25% and improving team collaboration processes.

Education

  • University at BuffaloBachelor of Arts - BA, Computing and Applied Mathematics

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