I'm an AI Engineer based in Ireland with 3.5+ years of experience designing and delivering AI-driven systems and autonomous decision agents using Python. I excel at building agent architectures, tool-augmented reasoning, and LLM-powered decision pipelines to solve real-world problems. I have hands-on experience integrating LLMs, RAG pipelines, vector databases, and databases into scalable frameworks, with a focus on rapid delivery under tight deadlines. I work well remotely, communicate effectively, and design maintainable, extensible agent frameworks using LangChain and modern ML infrastructure.

Iqra Bano

I'm an AI Engineer based in Ireland with 3.5+ years of experience designing and delivering AI-driven systems and autonomous decision agents using Python. I excel at building agent architectures, tool-augmented reasoning, and LLM-powered decision pipelines to solve real-world problems. I have hands-on experience integrating LLMs, RAG pipelines, vector databases, and databases into scalable frameworks, with a focus on rapid delivery under tight deadlines. I work well remotely, communicate effectively, and design maintainable, extensible agent frameworks using LangChain and modern ML infrastructure.

Available to hire

I’m an AI Engineer based in Ireland with 3.5+ years of experience designing and delivering AI-driven systems and autonomous decision agents using Python. I excel at building agent architectures, tool-augmented reasoning, and LLM-powered decision pipelines to solve real-world problems.

I have hands-on experience integrating LLMs, RAG pipelines, vector databases, and databases into scalable frameworks, with a focus on rapid delivery under tight deadlines. I work well remotely, communicate effectively, and design maintainable, extensible agent frameworks using LangChain and modern ML infrastructure.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Language

English
Fluent
French
Beginner
Hindi
Fluent
Urdu
Fluent

Work Experience

Data Scientist (AI/ML Engineer) at Predixxion
April 30, 2024 - August 26, 2025
Architected LLM-driven solutions with RAG and LoRA/QLoRA fine-tuning, improving retrieval accuracy by 35% and reducing GPU usage by 40%. Developed multimodal predictive models for text and image analytics handling over 100,000 daily records. Implemented MLOps workflows in AWS including SageMaker, Lambda, and CI/CD pipelines, which halved deployment cycles and ensured reproducibility. Collaborated with stakeholders to shape data strategies, prepare complex datasets, and deliver actionable business insights.
Associate Software Engineer (ML) at Pitney Bowes
November 30, 2023 - August 26, 2025
Engineered machine learning pipelines for structured and unstructured data using PyTorch for large-scale predictive analytics. Migrated on-premises ML workloads to AWS EC2 and S3 with containerized Docker deployments to improve scalability and reduce infrastructure costs. Deployed BERT-based text classifiers achieving 92% accuracy and integrated them into client-facing applications. Created reporting dashboards and visualizations to communicate model performance to business teams.
AI/ML Intern at Pitney Bowes
November 30, 2021 - August 26, 2025
Developed classification models including Random Forest, Logistic Regression, and Decision Trees that improved prediction accuracy by 30% via optimized feature selection and preprocessing. Built Python pipelines for feature engineering, data cleaning, and automated model training.
Teaching Assistant (Python & ML) at University of Limerick
March 31, 2025 - August 26, 2025
Delivered tutorials on Python, NumPy, Pandas, and scikit-learn to over 50 students covering statistical analysis and machine learning fundamentals. Guided students in full-stack AI projects integrating Django/Flask backends with React frontends.
AI Engineer at Predixxion
January 1, 2024 - April 30, 2024
Designed and implemented a Python-based AI agent framework enabling autonomous decision-making using LLMs and RAG pipelines. Built agent-driven workflows integrating external tools, vector databases, and structured data sources for contextual reasoning. Integrated databases with AI-driven applications to enable persistent memory, retrieval, and agent state management. Optimized agent inference via LoRA/QLoRA fine-tuning and quantization. Delivered production-ready code under tight deadlines with maintainability for future enhancements.
Associate AI Engineer at Pitney Bowes India
December 1, 2021 - November 30, 2023
Developed AI-powered decision systems that automated classification and prediction workflows using Python-based ML pipelines. Architected modular ML components functioning as autonomous decision agents within larger enterprise systems. Integrated ML services with relational and NoSQL databases to support real-time and batch inference. Migrated AI workloads to cloud-based infrastructure, improving reliability, scalability, and delivery velocity. Collaborated remotely with cross-functional teams while owning end-to-end problem solving and delivery.
AI/ML Intern at Pitney Bowes India
December 1, 2020 - November 30, 2021
Built Python-based ML components that automated decision logic for classification and prediction tasks. Supported development of data pipelines integrating structured datasets with ML-driven applications.

Education

MSc at University of Limerick
August 1, 2024 - May 31, 2025
BE at Oriental Institute of Science and Technology
August 1, 2017 - May 31, 2021
MSc Artificial Intelligence and Machine Learning at University of Limerick, Ireland
September 1, 2024 - August 31, 2025
BE Electronics and Communication Engineering at Oriental Institute of Science and Technology, India
August 1, 2017 - May 31, 2021

Qualifications

AWS Certified AI Practitioner
January 11, 2030 - August 26, 2025
PCAP – Certified Associate in Python Programming
January 11, 2030 - August 26, 2025
AWS Certified AI Practitioner
January 11, 2030 - December 16, 2025
PCAP – Certified Associate in Python Programming
January 11, 2030 - December 16, 2025

Industry Experience

Computers & Electronics, Education, Professional Services, Software & Internet, Media & Entertainment
    paper Civic Agent – Multi-Agent AI for Local Government

    Civic Agent is an open-source, privacy-first AI system that answers citizen questions about local government services like bin exemptions, housing support, or parking permits using real City Council policies as its knowledge base.

    Built with CrewAI, RAG, and Ollama + Phi-3, this project demonstrates a true multi-agent architecture where specialized AI agents collaborate:
    → A Researcher retrieves official documents
    → A Validator checks eligibility rules
    → An Action Guide delivers clear, actionable next steps

    All processing runs locally on a free Colab GPU -no external APIs, no data leaks, no cost.

    This isn’t just another chatbot. It’s a production-grade agentic system designed for accuracy, transparency, and real-world utility, showcasing end-to-end mastery of modern LLM engineering: from web scraping and vector retrieval to agent orchestration and deployment.

    paper Civic Agent – Multi-Agent AI for Local Government
    LLM AgenticAI RAG CrewAI OpenSource HuggingFace