Professional Summary

A highly skilled senior AI/ML engineer with over six years of experience delivering robust, production-ready AI solutions in finance and healthcare. Demonstrates deep expertise in NLP, GenAI, MLOps, and scalable cloud-based deployments, with a proven ability to lead projects from concept to operational excellence. Adept at integrating advanced AI capabilities into enterprise platforms, optimizing business processes, and driving measurable outcomes. Brings strong programming, data engineering, and DevOps skills, complemented by a solid academic background in mathematics and computer science.

Video of Talent

Portfolio

Education

• Bachelor of Science in Mathematics and Computer Science at Free University of Tbilisi — Completed (2014-2018)

Certifications and Trainings

Experience

• Senior Software Engineer | Senior AI Engineer at Philips Medical / Epam — January 2025 - Present

Develop and implement AI use cases for Philips, focusing on integrating AI services into the Philips AI Foundation platform and business applications.
Enhance Consumer Care operations through advanced GenAI solutions, including translation services, summarization, and categorization projects powered by LLMs.
Transition PoC on Translation and Suggestion services from .NET to Python, ensuring scalability and support for ±40 languages.
Develop Suggestion service leveraging Retrieval-Augmented Generation (RAG) to assist agents with contextually relevant recommended answers.
Collaborate on the integration of AI capabilities into Philips' Care Agent Tooling to improve agent efficiency and consumer interactions.
Ensure seamless deployment and operational excellence of AI-driven solutions within Philips' enterprise environment.

• Senior Machine Learning Engineer, Data Analytics Risks Department at Bank of Georgia — January 2024 - December 2024

Design and implement real-time risk assessment models using Flask for API serving, with batch processing pipelines using Apache Airflow and Spark for large-scale financial data processing in HDFS.
Establish comprehensive model monitoring systems using Evidently for data drift detection with PSI (Population Stability Index) metrics, and Grafana for real-time visualization of model health.
Lead the development and deployment of ML models using MLflow for experiment tracking, DVC for model versioning, Jenkins for CI/CD, and Kubernetes for orchestration.
Design feature store infrastructure using Feast for real-time and batch feature serving, ensuring consistent feature engineering across all models.
Architect multi-channel alert distribution systems for critical events, sending alerts to Slack and Email.

• Senior AI Software Engineer, Chat & Bot Squad at Bank of Georgia — January 2020 - January 2024

Developed and deployed NLP-based and rule based chatbots using Rasa and Flask, managing 200+ intents and 30+ API integrations across banking services.
Developed high-performance middleware using asyncio with websockets to handle real-time communication between customer-facing chat system and conversational AI engine.
Implemented custom data analytics pipeline using MongoDB for conversation analysis and intent optimization.
Established MLOps practices using Jenkins, Kubernetes for deployment, and MLflow, DVC for model versioning.
Designed real-time monitoring system using Prometheus and Grafana for chatbot performance metrics.

• Machine Learning Engineer at Pulsar AI — March 2019 - January 2020

Built and deployed ML-powered email automation system for car dealership communications using FastAPI and AWS Lambda Serverless architecture.
Designed and implemented automated follow-up system for client engagement across the sales funnel.
Developed ETL pipelines for processing customer interaction data using AWS services (Lambda, S3, CloudWatch, EC2, Dynamodb).
Automated ML workflows using GitLab CI/CD and Docker for continuous model training and deployment with SageMaker.