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kartik salianKS
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kartik salian

@kartiksalian

Data Scientist and AI Engineer building production LLM/RAG and ML systems that deliver measurable impact.

Ireland
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What I'm looking for

I’m looking for a product-minded team where I can build and ship LLM/RAG and ML systems end-to-end. I want measurable impact, strong engineering practices, and clear collaboration with non-technical stakeholders.

I’m a Data Scientist and AI Engineer focused on shipping end-to-end ML systems—especially LLM-powered tools, RAG pipelines, and production forecasting/anomaly detection—that create measurable outcomes for real users.

At the Ryan Institute, University of Galway, I designed and deployed an AI chatbot enabling natural language queries over structured sensor data for non-technical farm operators. I built human-in-the-loop validation to improve reliability, and owned AWS end-to-end ML pipelines for anomaly detection and time-series forecasting (S3, Lambda, SageMaker).

Before that, at Vodafone Ireland, I shipped data-driven solutions that moved operational metrics. I ran an A/B experiment on customer WiFi performance that drove a network-wide rollout improving outcomes for 94% of tested customers, and I automated reporting workflows that reduced operational effort by 30%.

I thrive turning ambiguous problems into production-ready tools people actually use. I’m experienced with LangChain, FAISS/vector search, Llama 3.x and Hugging Face Transformers, PyTorch, FastAPI, Docker, and AWS, and I bring strong communication and stakeholder enablement—whether the work is research-grade (LLM/chatbot architectures) or operational (monitoring, dashboards, and REST APIs).

Experience

Work history, roles, and key accomplishments

RG
Current

Data Scientist (AI Chatbot)

Ryan Institute, University of Galway

Jul 2025 - Present (10 months)

Built and deployed an LLM-powered AI chatbot that enables natural-language queries over real-time crop sensor data for non-technical farm operators, removing reliance on analyst intermediaries. Implemented AWS-based ingestion and end-to-end ML pipelines for anomaly detection and 7-day forecasting, with outputs adopted as the primary operational risk monitoring tool.

VI

Optimisation Engineer / Data Analyst

Vodafone Ireland

Aug 2023 - Feb 2025 (1 year 6 months)

Designed and executed an A/B test on customer WiFi performance, applying statistical significance testing to support a 94% improvement rate and driving a network-wide rollout. Automated reporting workflows with Python/SQL and built anomaly detection using PySpark and Isolation Forest to proactively flag unusual network behavior, reducing operational effort by 30%.

JL

Data Analyst Intern

JK Holidaymakers Private Limited

Aug 2021 - Mar 2022 (7 months)

Analyzed booking and revenue data to identify commercial trends and built Excel KPI dashboards using VBA, reducing reporting time by 25%. Presented insights to senior management in clear, non-technical terms.

DE

Data Analyst Intern

Devlance

May 2021 - Jul 2021 (2 months)

Analyzed HR datasets to identify attrition patterns and salary distribution trends using Python and SQL. Built self-serve dashboards for non-technical HR managers, reducing reliance on manual analyst requests.

Education

Degrees, certifications, and relevant coursework

University of Galway logoUG

University of Galway

Master of Science in Computer Science, Computer Science (Data Analytics)

2022 - 2023

Earned an MSc in Computer Science with a specialization in Data Analytics, covering machine learning, deep learning, NLP, statistical analysis, and knowledge graph–related topics.

FE

Fr. Conceição Rodrigues College of Engineering

Bachelor of Engineering, Electronics Engineering

2018 - 2022

Completed a BE in Electronics Engineering, with coursework including neural networks, digital signal processing, object-oriented programming, DBMS, and algorithms.

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