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I am Parisa Eslambolchilar, an Applied AI Engineer focused on production-grade AI systems, operational ML pipelines, and cloud-native deployment. I design end-to-end AI solutions across edge and cloud environments, balancing performance, latency, and scalability while keeping governance and reliability at the forefront. I work across data pipelines, model evaluation, monitoring, and reproducible deployment workflows to deliver enterprise-ready AI platforms. I emphasize responsible AI, accessibility, and user-centred design in real-world contexts, and I enjoy translating prototypes into robust, scalable deployments that solve measurable problems.…I am Parisa Eslambolchilar, an Applied AI Engineer focused on production-grade AI systems, operational ML pipelines, and cloud-native deployment. I design end-to-end AI solutions across edge and cloud environments, balancing performance, latency, and scalability while keeping governance and reliability at the forefront. I work across data pipelines, model evaluation, monitoring, and reproducible deployment workflows to deliver enterprise-ready AI platforms. I emphasize responsible AI, accessibility, and user-centred design in real-world contexts, and I enjoy translating prototypes into robust, scalable deployments that solve measurable problems.

Parisa Eslambolchilar

AI Engineer, Data Scientist, AI Strategy Consultant, +2

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I am Parisa Eslambolchilar, an Applied AI Engineer focused on production-grade AI systems, operational ML pipelines, and cloud-native deployment. I design end-to-end AI solutions across edge and cloud environments, balancing performance, latency, and scalability while keeping governance and reliability at the forefront. I work across data pipelines, model evaluation, monitoring, and reproducible deployment workflows to deliver enterprise-ready AI platforms. I emphasize responsible AI, accessibility, and user-centred design in real-world contexts, and I enjoy translating prototypes into robust, scalable deployments that solve measurable problems.…I am Parisa Eslambolchilar, an Applied AI Engineer focused on production-grade AI systems, operational ML pipelines, and cloud-native deployment. I design end-to-end AI solutions across edge and cloud environments, balancing performance, latency, and scalability while keeping governance and reliability at the forefront. I work across data pipelines, model evaluation, monitoring, and reproducible deployment workflows to deliver enterprise-ready AI platforms. I emphasize responsible AI, accessibility, and user-centred design in real-world contexts, and I enjoy translating prototypes into robust, scalable deployments that solve measurable problems.

Available to hire

I am Parisa Eslambolchilar, an Applied AI Engineer focused on production-grade AI systems, operational ML pipelines, and cloud-native deployment. I design end-to-end AI solutions across edge and cloud environments, balancing performance, latency, and scalability while keeping governance and reliability at the forefront.

I work across data pipelines, model evaluation, monitoring, and reproducible deployment workflows to deliver enterprise-ready AI platforms. I emphasize responsible AI, accessibility, and user-centred design in real-world contexts, and I enjoy translating prototypes into robust, scalable deployments that solve measurable problems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Azerbaijani

Fluent

Persian

Fluent

Spanish; Castilian

Intermediate

Work Experience

Senior Business Consultant at CGI IT UK Ltd

July 1, 2025 - Present

Led the design and prototyping of production-oriented machine vision systems deployed on edge platforms for real-time perception and monitoring. Built end-to-end edge AI pipelines (camera integration, preprocessing, inference, validation) across constrained hardware environments (Jetson, Raspberry Pi). Implemented and benchmarked computer vision workflows, evaluating latency, reliability, and scalability trade-offs under real-world conditions. Assessed build-vs-buy options and vendor solutions from a technical architecture and performance perspective. Produced validation artefacts and deployment documentation to support maintainable, scalable system rollout. Identified and mitigated risks related to model performance, hardware constraints, and long-term operational support.

Senior Business Consultant – AI Strategy and Policy at CGI IT UK Ltd

June 1, 2024 - June 1, 2025

Advised on enterprise adoption of generative AI, including use-case identification, risk assessment, and governance considerations. Contributed to technical and strategic evaluations of AI tools and platforms. Supported decision-making around AI feasibility, deployment constraints, and ethical risk. Produced thought leadership on human-centred and responsible AI.

Senior User Researcher

January 1, 2023 - December 31, 2024

Worked with qualitative and textual datasets to support analysis, synthesis, and evidence-based insight generation, informing both design and system development. Led user research and applied prototyping across multiple emerging technology projects, including metaverse discovery, digital twin simulation, and public sector service design. Conducted interviews, workshops, and field testing, producing design recommendations and prototype systems to inform delivery decisions. Collaborated with multidisciplinary teams across education, healthcare, and government contexts.

Independent / Applied AI (Part-time)

October 1, 2023 - Present

Designed and deployed production-grade AI systems, including LLM-driven APIs and operational ML pipelines, with monitoring, evaluation frameworks, and CI/CD-enabled reproducible deployment practices. Focused on interaction quality, interpretability, and user response when integrating AI into human-facing systems. Applied NLP and LLM-based techniques to support knowledge extraction, summarisation, and structured information access within domain-specific AI systems. Designed and delivered applied AI systems supporting education and professional training; led system design including data pipelines, AI integration, user interaction, and evaluation.

Lead Researcher, Human-Computer Interaction at Cardiff University

October 1, 2018 - September 30, 2024

Led applied research projects focused on human-centred and accessible technologies, including tangible visualisation systems for household energy awareness and mobility support for people with visual impairment. Designed and evaluated interactive prototypes using embedded systems and AR technologies, applying user-centred design methods and real-world field testing. Published peer-reviewed research and contributed to knowledge exchange across academia, charities, and applied technology stakeholders.

Lead Researcher, Human-Computer Interaction at Swansea University

October 1, 2016 - September 30, 2020

Led large-scale user-centred research programmes exploring tangible and ambient data visualisation to support physical activity and behaviour change in educational settings. Designed and developed interactive physical and digital prototypes, working with over 90 primary and secondary schools across South Wales. Conducted longitudinal field studies and published research outputs focused on accessibility, engagement, and real-world impact.