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Hi, I’m Victor Cecoltan, a Senior AI/ML Engineer with 8+ years of experience architecting and deploying production-grade AI systems. I specialise in Generative AI, NLP, LLM applications, RAG, and ML Ops, delivering scalable, end-to-end AI solutions for enterprise environments. I enjoy turning complex research into practical products through cross-functional collaboration, building robust evaluation, governance, and monitoring workflows for safe and reliable AI. When I’m not coding, I mentor teammates, contribute to open-source projects, and explore new AI techniques to push the boundaries of what’s possible.…Hi, I’m Victor Cecoltan, a Senior AI/ML Engineer with 8+ years of experience architecting and deploying production-grade AI systems. I specialise in Generative AI, NLP, LLM applications, RAG, and ML Ops, delivering scalable, end-to-end AI solutions for enterprise environments. I enjoy turning complex research into practical products through cross-functional collaboration, building robust evaluation, governance, and monitoring workflows for safe and reliable AI. When I’m not coding, I mentor teammates, contribute to open-source projects, and explore new AI techniques to push the boundaries of what’s possible.

Victor Cecoltan

Data Scientist, AI Engineer, Data Analyst, +5

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Hi, I’m Victor Cecoltan, a Senior AI/ML Engineer with 8+ years of experience architecting and deploying production-grade AI systems. I specialise in Generative AI, NLP, LLM applications, RAG, and ML Ops, delivering scalable, end-to-end AI solutions for enterprise environments. I enjoy turning complex research into practical products through cross-functional collaboration, building robust evaluation, governance, and monitoring workflows for safe and reliable AI. When I’m not coding, I mentor teammates, contribute to open-source projects, and explore new AI techniques to push the boundaries of what’s possible.…Hi, I’m Victor Cecoltan, a Senior AI/ML Engineer with 8+ years of experience architecting and deploying production-grade AI systems. I specialise in Generative AI, NLP, LLM applications, RAG, and ML Ops, delivering scalable, end-to-end AI solutions for enterprise environments. I enjoy turning complex research into practical products through cross-functional collaboration, building robust evaluation, governance, and monitoring workflows for safe and reliable AI. When I’m not coding, I mentor teammates, contribute to open-source projects, and explore new AI techniques to push the boundaries of what’s possible.

Available to hire

Hi, I’m Victor Cecoltan, a Senior AI/ML Engineer with 8+ years of experience architecting and deploying production-grade AI systems. I specialise in Generative AI, NLP, LLM applications, RAG, and ML Ops, delivering scalable, end-to-end AI solutions for enterprise environments.

I enjoy turning complex research into practical products through cross-functional collaboration, building robust evaluation, governance, and monitoring workflows for safe and reliable AI. When I’m not coding, I mentor teammates, contribute to open-source projects, and explore new AI techniques to push the boundaries of what’s possible.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Russian

Advanced

Work Experience

Senior AI Engineer at Self-employed / AI

June 1, 2025 - Present

Led design and deployment of large-scale AI systems, integrating LLMs, Generative AI, and Retrieval-Augmented Generation (RAG). Implemented hybrid lexical and semantic retrieval architectures that scale to 50M+ document chunks, delivering accurate recommendations. Built AI evaluation and monitoring dashboards, establishing end-to-end governance for model inference, data provenance, and compliance.

Senior Machine Learning Engineer at Damco Solutions

October 1, 2022 - April 1, 2025

Built a multi-agent AI system using LLMs + RAG over policy documents; handled routine service requests with human-in-the-loop escalation. Designed broker and customer portal architectures delivering 100% straight-through processing and reducing policy-issue turnaround from 3–5 days to under 24 hours. Defined data and reconciliation architecture reducing manual effort by 60–70% and decreasing reconciliation errors by 80%. Implemented a model-agnostic inference layer supporting Open AI/LLama/BERT behind a unified governance layer. Built AIOps dashboards with automated quality testing and performance tracing.

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 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.

Machine Learning Engineer at IT Future Farm

August 1, 2018 - March 1, 2022

Led development of real-time retail automation backend using YOLO, OpenCV, and PyTorch, achieving 98% inventory counting accuracy and reducing manual inspection overhead, saving approximately $1M annually. Engineered an automated document intelligence system on AWS to process ~1,000 financial documents daily at 95% accuracy, cutting processing costs and improving turnaround time.

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.

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.