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Hi, I’m Ancy Joseph, a data-driven AI Engineer with an MSc in Data Science and hands-on experience building agentic AI systems, multi-agent workflows, and RAG-powered applications. I enjoy turning complex problems into scalable, data-driven solutions using Python, LLMs, and cloud deployment. I’ve delivered end-to-end AI solutions like a Multi-Agent Research Assistant, an AI Python Tutor with RAG, and an AI-powered education platform, achieving measurable gains in accuracy, efficiency, and learner engagement. I’m passionate about building scalable, impactful AI products and continuously advancing as an AI engineer.…Hi, I’m Ancy Joseph, a data-driven AI Engineer with an MSc in Data Science and hands-on experience building agentic AI systems, multi-agent workflows, and RAG-powered applications. I enjoy turning complex problems into scalable, data-driven solutions using Python, LLMs, and cloud deployment. I’ve delivered end-to-end AI solutions like a Multi-Agent Research Assistant, an AI Python Tutor with RAG, and an AI-powered education platform, achieving measurable gains in accuracy, efficiency, and learner engagement. I’m passionate about building scalable, impactful AI products and continuously advancing as an AI engineer.

Ancy Joseph

AI Engineer, Data Scientist, Data Analyst, +3

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Hi, I’m Ancy Joseph, a data-driven AI Engineer with an MSc in Data Science and hands-on experience building agentic AI systems, multi-agent workflows, and RAG-powered applications. I enjoy turning complex problems into scalable, data-driven solutions using Python, LLMs, and cloud deployment. I’ve delivered end-to-end AI solutions like a Multi-Agent Research Assistant, an AI Python Tutor with RAG, and an AI-powered education platform, achieving measurable gains in accuracy, efficiency, and learner engagement. I’m passionate about building scalable, impactful AI products and continuously advancing as an AI engineer.…Hi, I’m Ancy Joseph, a data-driven AI Engineer with an MSc in Data Science and hands-on experience building agentic AI systems, multi-agent workflows, and RAG-powered applications. I enjoy turning complex problems into scalable, data-driven solutions using Python, LLMs, and cloud deployment. I’ve delivered end-to-end AI solutions like a Multi-Agent Research Assistant, an AI Python Tutor with RAG, and an AI-powered education platform, achieving measurable gains in accuracy, efficiency, and learner engagement. I’m passionate about building scalable, impactful AI products and continuously advancing as an AI engineer.

Available to hire

Hi, I’m Ancy Joseph, a data-driven AI Engineer with an MSc in Data Science and hands-on experience building agentic AI systems, multi-agent workflows, and RAG-powered applications. I enjoy turning complex problems into scalable, data-driven solutions using Python, LLMs, and cloud deployment.

I’ve delivered end-to-end AI solutions like a Multi-Agent Research Assistant, an AI Python Tutor with RAG, and an AI-powered education platform, achieving measurable gains in accuracy, efficiency, and learner engagement. I’m passionate about building scalable, impactful AI products and continuously advancing as an AI engineer.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

AI Engineer at London College of Business Studies

July 1, 2025 - November 28, 2025

Delivered a full AI Tutor ecosystem across frontend, backend, and ML stack; shipped 30+ production features in 5 months. Automated content pipeline with a teacher-facing AI lecture generator (topics → script → slides → video), reducing content creation time from 1 hour to under 15 minutes. Improved content reliability by 40% via a 2-stage CoT + RAG architecture integrating OpenAI, Gemini, and OpenAlex. Built auto-generated quizzes with topic-based remediation, boosting learning outcomes and revision accuracy by 30%. Implemented async task queues using Redis + Celery, enabling parallel execution of long-running AI tasks with >90% latency reduction. Deployed containerized services (Docker) to AWS, with React frontend hosted on S3 + Amplify, achieving <5% downtime and smooth CI/CD. Collaborated in a 3-engineer team across architecture, development, debugging, deployment, and optimization end-to-end.

AI Curriculum Designer at Turing Education Company

June 1, 2025 - June 1, 2025

Designed AI-powered learning content that simplifies complex programming concepts, boosting learner engagement by 15%. Enhanced an AI-driven knowledge base with tagging and metadata, increasing search efficiency by 30%. Analyzed 500+ learner interactions, fine-tuned prompts to reduce confusing responses by 22%, improving AI clarity. Built Power BI dashboards to monitor content performance, cutting reporting time by 25%. Implemented a quality assurance framework combining expert review and learner feedback, achieving over 90% response reliability.

Data Analyst at Forage Accenture

May 1, 2024 - May 1, 2024

Identified top-performing content trends and delivered data-driven recommendations, resulting in a 15% increase in client engagement for a social media client. Performed end-to-end data cleaning, modeling, and analysis using Python and SQL to generate actionable insights. Built data visualizations and PowerPoint deliverables to communicate patterns and business value to stakeholders.

AI Curriculum Designer at Turing Education Company

December 1, 2024 - June 1, 2025

Designed and structured AI-powered learning content that simplified complex programming concepts, boosting learner engagement by 15%. Improved an AI-driven knowledge base with advanced tagging and metadata, increasing search efficiency by 30% for learners and AI models. Analyzed 500+ learner interactions, fine-tuned LLM prompts, and reduced confusing responses by 22%, improving overall AI clarity and usability. Built Power BI dashboards to monitor AI content performance, cutting reporting time by 25% and supporting data-driven improvements. Implemented a quality assurance framework combining expert review and learner feedback, achieving over 90% response reliability, ensuring high-quality educational outputs.