Christodoulos Constantinides

Email/ Scholar/ Linkedin/ Medium

Introduction

I am an Applied Scientist at IBM in New York where I build timeseries models for predictive maintenance across different industries and do research on building Language Models for industrial asset maintenance.
Some topics that I am interested in: LLM Alignment through RL, Knowledge Distillation, Domain Adaptation, Reasoning.

Education

Columbia University
MS in Data Science		 Jan 2021 – May 2022
New York, NY
University of Cyprus
BS in Computer Science		 Jan 2017 – Jan 2021
Nicosia, CY

Experience

IBM
Applied Scientist		 Jul 2022 – Current
New York, NY
  • Research on fine-tuning and aligning LLMs for Industrial Use-Cases (NeurIPS/AAAI/EMNLP publications)
  • Failure Prediction, Anomaly Detection, Survival Analysis, Energy Optimization on critical Industrial Infrastructure
  • Business Understanding, Data Cleaning, Feature Engineering, Model Deployment and Continuous Monitoring
  • Driving signings and delivery of projects worth $1M+ related to Data Centers, Utilities and Transportation companie
Condé Nast
Machine Learning Engineer Intern		 Jun 2021 – Sep 2021
New York, NY
  • Click Through Rate (CTR) Optimization for the on-site articles using reinforcement learning to learn the optimal recommendation strategy
  • Multi-Armed Bandit for learning the optimal recommendation strategy for the different times of the day
  • Distributed processing of the event stream using Spark and storage of the end result in PostgreSQL to reduce processing time
Cognitive UX Ltd.
Software Engineer		 Mar 2020 – Jan 2021
Nicosia, CY
  • Model deployment for continuous face and voice authentication with distributed work queues using RabbitMQ
  • Cross platform mobile application development using Flutter for alternative two factor authentication methods
  • Authentication server development in Django and the admin dashboard with user analytics and shipped with Docker

Selected Publications

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes NeurIPS 2025 D&B Track
Generalized Embedding Models for Industry 4.0 Applications EMNLP 2025 Industry Track
  • Christodoulos Constantinides et al.
Fine-Tuned Thoughts: Leveraging Chain-of-Thought Reasoning for Industrial Asset Health Monitoring EMNLP 2025 Findings
  • Shuxin Lin, Dhaval Patel, Christodoulos Constantinides
Diversity meets Relevancy: Multi-Agent Knowledge Probing for Industry 4.0 Applications AAAI 2026
  • Christodoulos Constantinides et al.

Projects

The Effects of Plasticity Functions on Neural Assemblies Fall 2021
New York, NY
  • Modified the Assembly Calculus simulation code to implement more biologically plausible plasticity functions (Oja, STDP)
  • Analyzed the effects of the different plasticity functions to the resulting neural assembly
SERUMS H2020 - University of Cyprus Jun 2019 – Sep 2019
Nicosia, CY
  • Built the authentication component as a RESTful service in Django and documented with Swagger
  • Developed automated unit tests and stress-tests
  • Collaborated with other organizations for integration and testing and conducted case study with end-users for usability testing

Technical Skills

Languages: Python, Java, R, C, C++, PHP, JavaScript, Dart, ARMv8, Databases: MySQL, Neo4j, MongoDB, Cloud Computing: Spark, Databricks, Hadoop, Docker, Machine Learning / Data Science: PyTorch, TensorFlow, Hugging Face, Numpy, Pandas, Web Development: Django, HTML, CSS, JavaScript, Parallel Processing: Multi-Threaded Programming, CUDA

Awards

Outstanding Technical Achievement Award - IBM Apr 2023
Cypriot ICPC competitive programming contest - 2nd and 3rd place Sep 2018, Jun 2019