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Dragoljub Saric
About
Detail
Obrenovac, Serbia
Résumé
Jobs
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Senior Full Stack EngineerAtosAug 2021 - Current (4 years 10 months)• Designed and developed ML-powered backend services in Python and Node.js supporting large-scale enterprise platforms. • Built LLM-driven NLP pipelines for semantic search, content analysis, and intelligent recommendations. • Implemented end-to-end ML pipelines including data ingestion, preprocessing, model training, and inference services. • Developed recommender system models using collaborative filtering and ANN search. • Deployed ML models using Docker, Kubernetes, and CI/CD pipelines with GitHub and ArgoCD. • Built scalable REST and GraphQL APIs serving ML inference for frontend and partner applications. • Implemented vector similarity search pipelines using OpenSearch and ANN techniques. • Developed Spark-based data processing pipeli- Senior Software EngineerNokiaJun 2018 - Jul 2021 (3 years 2 months)• Developed backend systems for data-driven analytics platforms using Python, Scala, and TypeScript. • Designed distributed data pipelines using Spark for large-scale data processing. • Built ML-based anomaly detection systems analyzing network telemetry data. • Implemented real-time data streaming pipelines with Kafka for event-driven analytics. • Developed feature engineering pipelines using Pandas and NumPy for model training. • Built and deployed machine learning models using scikit-learn and TensorFlow. • Designed NLP-based systems to analyze operational logs and extract actionable insights. • Built scalable APIs exposing ML inference services to multiple enterprise applications. • Collaborated with data scientists to transform researc
- Full Stack EngineerItransition GroupAug 2015 - Apr 2018 (2 years 9 months)• Developed full-stack applications for fintech and ecommerce platforms using Python and JavaScript. • Built backend APIs supporting high-volume transactional and analytical workflows. • Designed data ingestion pipelines for large-scale financial and customer datasets. • Implemented machine learning models for fraud detection and risk scoring. • Built model training pipelines using scikit-learn and Pandas. • Designed scalable database schemas for PostgreSQL and MongoDB. • Implemented data preprocessing pipelines supporting ML workflows. • Built authentication and security systems for financial applications. • Developed REST APIs integrating external financial services. • Collaborated with data teams to build analytics dashboards powered by
Education
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- EBachelor's Degree in Computer ScienceETH Zurich - Swiss Federal Institute of TechnologySep 2012 - Jul 2015 (2 years 11 months)