kartik salian
@kartiksalian
Data Scientist and AI Engineer building production LLM/RAG and ML systems that deliver measurable impact.
What I'm looking for
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
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.
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%.
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.
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
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.
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.
Tech stack
Software and tools used professionally
Availability
Location
Salary expectations
Job categories
Skills
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