Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am a Senior AI / Machine Learning Engineer with 8+ years of experience designing, building, and operating production-grade AI systems in enterprise and regulated environments. I specialize in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), computer vision, and multimodal ML systems. I excel at translating complex business and regulatory requirements into scalable, reliable AI solutions that prioritize data privacy, reliability, auditability, and long-term maintainability. My work spans healthcare, finance, and security domains within EU-aligned contexts, where I collaborate with cross-functional teams to deliver measurable impact.…I am a Senior AI / Machine Learning Engineer with 8+ years of experience designing, building, and operating production-grade AI systems in enterprise and regulated environments. I specialize in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), computer vision, and multimodal ML systems. I excel at translating complex business and regulatory requirements into scalable, reliable AI solutions that prioritize data privacy, reliability, auditability, and long-term maintainability. My work spans healthcare, finance, and security domains within EU-aligned contexts, where I collaborate with cross-functional teams to deliver measurable impact.

Victor Cecoltan

Data Scientist, AI Engineer, Data Analyst, +4





I am a Senior AI / Machine Learning Engineer with 8+ years of experience designing, building, and operating production-grade AI systems in enterprise and regulated environments. I specialize in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), computer vision, and multimodal ML systems. I excel at translating complex business and regulatory requirements into scalable, reliable AI solutions that prioritize data privacy, reliability, auditability, and long-term maintainability. My work spans healthcare, finance, and security domains within EU-aligned contexts, where I collaborate with cross-functional teams to deliver measurable impact.…I am a Senior AI / Machine Learning Engineer with 8+ years of experience designing, building, and operating production-grade AI systems in enterprise and regulated environments. I specialize in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), computer vision, and multimodal ML systems. I excel at translating complex business and regulatory requirements into scalable, reliable AI solutions that prioritize data privacy, reliability, auditability, and long-term maintainability. My work spans healthcare, finance, and security domains within EU-aligned contexts, where I collaborate with cross-functional teams to deliver measurable impact.

Available to hire

I am a Senior AI / Machine Learning Engineer with 8+ years of experience designing, building, and operating production-grade AI systems in enterprise and regulated environments. I specialize in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), computer vision, and multimodal ML systems. I excel at translating complex business and regulatory requirements into scalable, reliable AI solutions that prioritize data privacy, reliability, auditability, and long-term maintainability. My work spans healthcare, finance, and security domains within EU-aligned contexts, where I collaborate with cross-functional teams to deliver measurable impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Russian

Advanced

Work Experience

Senior Machine Learning Engineer (LLM & Applied AI) at AI &ML Services

October 1, 2022 - April 1, 2025

Healthcare Diagnosis Recommendation System: Led model design, experimentation, and evaluation for a healthcare diagnosis recommendation system combining LLMs, classical ML, and multi-modal signals. Designed and benchmarked multiple modeling strategies, selecting architectures based on accuracy, robustness, and failure modes rather than infrastructure convenience. Achieved 99% data extraction accuracy by iterating on feature engineering, prompt strategies, and post-processing logic across heterogeneous clinical inputs. Introduced human-in-the-loop feedback loops and custom validation metrics to reduce hallucinations and improve clinical reliability in production use cases. Defined model quality KPIs (precision, recall, error typologies, clinician agreement) and used real-world feedback to guide continuous model improvement.

Senior Machine Learning Engineer at AI &ML Services

October 1, 2022 - April 1, 2025

Economic Analysis Conversational AI (LLM +RAG): Designed and optimized aRAG architecture for expert-level economic analysis, focusing on answer faithfulness, reasoning depth, and citation accuracy. Experimented with embedding models, chunking strategies, retrieval heuristics, and reranking approaches, improving answer relevance and reducing hallucinated outputs. Developed offline evaluation pipelines using curated query sets and human review to guide iterative improvements.

Senior Machine Learning Engineer at AI &ML Services

October 1, 2022 - April 1, 2025

Audio &Multimodal AI Systems: Built and fine-tuned speech-to-text and voice analysis pipelines, integrating ASR models with downstream LLM-based semantic analysis. Designed multi-modal inference workflows combining audio signals and textual context to improve downstream reasoning accuracy.

Senior Machine Learning Engineer at ITFuture Farm

August 1, 2018 - March 1, 2022

Computer Vision & Real-Time Intelligence Systems: Led model design, training, and optimization for real-time computer vision systems deployed in robotics and retail environments. Achieved >96% detection accuracy in production by iterating on data collection, labeling strategies, augmentation, and model tuning. Collaborated with hardware and robotics teams to adapt models for edge deployment with inference optimizations for real-time decisioning.

Senior Machine Learning Engineer at ITFuture Farm

August 1, 2018 - March 1, 2022

Financial Document Processing & Intelligent OCR: Designed and owned ML pipelines for large-scale document understanding, combining OCR, NLP, and ML-based validation for financial documents. Processed 1,000+ documents per hour while improving extraction quality through feature engineering and layout-aware preprocessing. Integrated LLM-based and rule-based validation layers to detect inconsistencies and edge cases, improving downstream data reliability.

Senior Machine Learning Engineer at ITFuture Farm

August 1, 2018 - March 1, 2022

Security, Biometrics & Edge AI: Built and evaluated biometric authentication models (facial and fingerprint recognition) for security-focused applications. Optimized computer vision models for latency-sensitive, resource-constrained edge devices, balancing model complexity with real-world performance.

Senior AI Engineer at Ai

June 1, 2025 - Present

Led design and deployment of an AI-powered content intelligence platform, building LLM-powered pipelines to aggregate, classify, and summarize AI news and research from thousands of sources in real time. Architected RAG-based search and recommendations across a catalog of 10,000+ AI products. Built scalable real-time ML infrastructure with model serving, prompt management, and observability tools, and integrated multimodal extraction from papers, infographics, and video content to enrich platform insights.

Senior Machine Learning Engineer at Damco Solutions (AI &ML Services)

October 1, 2022 - April 30, 2025

Led model design, experimentation, and evaluation for a healthcare diagnosis recommendation system combining LLMs, classical ML, and multi-modal signals. Benchmarked architectures based on accuracy and reliability, achieving 99% data extraction accuracy across heterogeneous clinical inputs. Implemented human-in-the-loop feedback and custom validation metrics to reduce hallucinations and improve clinical reliability in production. Defined model quality KPIs (precision, recall, error typologies, clinician agreement) to guide continuous improvement. Also designed RAG-based economic analysis tooling and developed offline evaluation pipelines; built audio and multimodal pipelines (ASR + LLM) for enhanced reasoning.

Machine Learning Engineer at ITFuture Farm

August 1, 2018 - March 31, 2022

Led real-time computer vision projects for robotics and retail, achieving over 96% detection accuracy in production through data collection, labeling, augmentation, and optimization for edge deployment. Built financial document processing pipelines combining OCR, NLP, and validation layers for large-scale document understanding. Implemented biometric authentication models for security-focused applications with latency-aware edge optimization. Executed projects in AI-driven medical imaging and multimodal incident detection.