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I’m Ruhab Ahmad, a backend-leaning ML engineer and software professional focused on building AI evaluation workflows, data-processing systems, and production-ready APIs. I enjoy designing reliable automation pipelines that help teams validate correctness, reasoning quality, robustness, and compliance for LLM- and code-based tasks. Across my recent roles, I’ve built evaluation services and repository-driven benchmark tasks, integrated LLM/RAG and prompt-based flows into repeatable tooling, and improved performance through caching, query optimization, and asynchronous processing. I also deploy and operate containerized services using Docker and Kubernetes, with CI/CD automation to keep execution reproducible and dependable.…I’m Ruhab Ahmad, a backend-leaning ML engineer and software professional focused on building AI evaluation workflows, data-processing systems, and production-ready APIs. I enjoy designing reliable automation pipelines that help teams validate correctness, reasoning quality, robustness, and compliance for LLM- and code-based tasks. Across my recent roles, I’ve built evaluation services and repository-driven benchmark tasks, integrated LLM/RAG and prompt-based flows into repeatable tooling, and improved performance through caching, query optimization, and asynchronous processing. I also deploy and operate containerized services using Docker and Kubernetes, with CI/CD automation to keep execution reproducible and dependable.

Ruhab Ahmad

AI Evaluator, AI Engineer, Software Engineer, +2

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I’m Ruhab Ahmad, a backend-leaning ML engineer and software professional focused on building AI evaluation workflows, data-processing systems, and production-ready APIs. I enjoy designing reliable automation pipelines that help teams validate correctness, reasoning quality, robustness, and compliance for LLM- and code-based tasks. Across my recent roles, I’ve built evaluation services and repository-driven benchmark tasks, integrated LLM/RAG and prompt-based flows into repeatable tooling, and improved performance through caching, query optimization, and asynchronous processing. I also deploy and operate containerized services using Docker and Kubernetes, with CI/CD automation to keep execution reproducible and dependable.…I’m Ruhab Ahmad, a backend-leaning ML engineer and software professional focused on building AI evaluation workflows, data-processing systems, and production-ready APIs. I enjoy designing reliable automation pipelines that help teams validate correctness, reasoning quality, robustness, and compliance for LLM- and code-based tasks. Across my recent roles, I’ve built evaluation services and repository-driven benchmark tasks, integrated LLM/RAG and prompt-based flows into repeatable tooling, and improved performance through caching, query optimization, and asynchronous processing. I also deploy and operate containerized services using Docker and Kubernetes, with CI/CD automation to keep execution reproducible and dependable.

Available to hire

I’m Ruhab Ahmad, a backend-leaning ML engineer and software professional focused on building AI evaluation workflows, data-processing systems, and production-ready APIs. I enjoy designing reliable automation pipelines that help teams validate correctness, reasoning quality, robustness, and compliance for LLM- and code-based tasks.

Across my recent roles, I’ve built evaluation services and repository-driven benchmark tasks, integrated LLM/RAG and prompt-based flows into repeatable tooling, and improved performance through caching, query optimization, and asynchronous processing. I also deploy and operate containerized services using Docker and Kubernetes, with CI/CD automation to keep execution reproducible and dependable.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Beginner

Language

English

Advanced

Work Experience

AI Technical Evaluation Specialist (ML Engineer)

October 1, 2025 - Present

Built AI training, evaluation, and benchmark workflows for code reasoning and CLI-based environments. Created and reviewed repository-based evaluation tasks by validating requirements, test coverage, metadata, and reference implementations. Assessed AI-generated solutions for correctness, reasoning quality, robustness, and task compliance. Developed backend utilities and evaluation services using Python with FastAPI, Django, and Flask to automate task processing and validation. Built containerized evaluation environments with Docker and supported reproducible execution through CI/CD. Integrated LLM, RAG, and prompt-based workflows into automated evaluation and engineering tools.

Senior Backend Engineer at Contour Software

May 1, 2024 - October 1, 2025

Designed and maintained scalable backend services for enterprise software with high-volume production workloads. Developed API and service layers using Python, Django, Django REST Framework, and FastAPI for data-intensive applications. Built LLM-assisted workflows and retrieval-based features using LangChain and OpenAI APIs within structured application pipelines. Improved performance via query optimization, caching, and asynchronous processing. Deployed and operated containerized services using Docker and Kubernetes, supported by automated GitHub Actions CI/CD workflows.

Senior Software Engineer at Purelogics

March 1, 2022 - April 1, 2024

Built production-grade REST APIs and backend services using Django and FastAPI for complex business workflows. Designed PostgreSQL and Redis data layers and implemented Celery workers for asynchronous operations. Improved scalability by restructuring service components and optimizing database access. Introduced automated unit and integration testing using Pytest to increase reliability. Implemented secure authentication/authorization and multi-tenant access controls.

Software Engineer at Clustox

June 1, 2020 - February 1, 2022

Developed Python-based data processing and automation services for web and business applications. Built web scraping and data collection workflows using Scrapy and Playwright. Implemented WebSocket-based real-time communication for live updates and dashboard synchronization. Worked with AWS services (EC2, Lambda, S3) to deploy and support scalable components. Implemented JWT and OAuth2-based authentication for protected API routes.