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I'm Jovan Djosic, a Senior AI/GenAI Engineer with 8+ years of experience building production AI systems across healthcare, enterprise, and industrial domains. I specialize in LLM pipelines, Retrieval-Augmented Generation (RAG), and AI automation, delivering end-to-end solutions that integrate ML models, backend services, and user-facing applications. I focus on scalable, observable, and safe AI deployments, with hands-on experience in computer vision, embedded AI, and cloud-native deployments. I also mentor junior engineers and drive evaluation, governance, and compliance to ensure reliable, responsible AI in real-world environments.…I'm Jovan Djosic, a Senior AI/GenAI Engineer with 8+ years of experience building production AI systems across healthcare, enterprise, and industrial domains. I specialize in LLM pipelines, Retrieval-Augmented Generation (RAG), and AI automation, delivering end-to-end solutions that integrate ML models, backend services, and user-facing applications. I focus on scalable, observable, and safe AI deployments, with hands-on experience in computer vision, embedded AI, and cloud-native deployments. I also mentor junior engineers and drive evaluation, governance, and compliance to ensure reliable, responsible AI in real-world environments.

Jovan Djosic

AI Engineer, Full Stack Developer, Data Scientist, +2

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I'm Jovan Djosic, a Senior AI/GenAI Engineer with 8+ years of experience building production AI systems across healthcare, enterprise, and industrial domains. I specialize in LLM pipelines, Retrieval-Augmented Generation (RAG), and AI automation, delivering end-to-end solutions that integrate ML models, backend services, and user-facing applications. I focus on scalable, observable, and safe AI deployments, with hands-on experience in computer vision, embedded AI, and cloud-native deployments. I also mentor junior engineers and drive evaluation, governance, and compliance to ensure reliable, responsible AI in real-world environments.…I'm Jovan Djosic, a Senior AI/GenAI Engineer with 8+ years of experience building production AI systems across healthcare, enterprise, and industrial domains. I specialize in LLM pipelines, Retrieval-Augmented Generation (RAG), and AI automation, delivering end-to-end solutions that integrate ML models, backend services, and user-facing applications. I focus on scalable, observable, and safe AI deployments, with hands-on experience in computer vision, embedded AI, and cloud-native deployments. I also mentor junior engineers and drive evaluation, governance, and compliance to ensure reliable, responsible AI in real-world environments.

Available to hire

I’m Jovan Djosic, a Senior AI/GenAI Engineer with 8+ years of experience building production AI systems across healthcare, enterprise, and industrial domains.

I specialize in LLM pipelines, Retrieval-Augmented Generation (RAG), and AI automation, delivering end-to-end solutions that integrate ML models, backend services, and user-facing applications. I focus on scalable, observable, and safe AI deployments, with hands-on experience in computer vision, embedded AI, and cloud-native deployments. I also mentor junior engineers and drive evaluation, governance, and compliance to ensure reliable, responsible AI in real-world environments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Senior AI/ML Engineer at DataArt

December 1, 2022 - Present

Led the development of LLM-powered systems to support mental health triage, clinical summarization, and patient support workflows. Designed and shipped production LLM and ML pipelines with emphasis on reproducibility, observability, and clean APIs. Mentored junior ML engineers on GenAI tooling and evaluation methodology. Built and deployed RAG pipelines using PyTorch-based models, LangChain, and vector databases, improving workflow efficiency. Implemented LLM safety guardrails, including hallucination detection, regression testing, and prompt robustness checks. Developed data-centric evaluation frameworks to measure model quality, latency, and failures. Deployed scalable inference services using Ray Serve, FastAPI, Docker, and CI/CD pipelines. Integrated multimodal OCR/NLP workflows for document understanding. Built internal Streamlit tools for experimentation and stakeholder demos.

Senior Software Engineer – Image Processing & AI Automation at RT-RK

February 1, 2020 - November 1, 2022

Improved inference performance and detection reliability in production-grade imaging systems across industrial and medical environments. Designed and implemented computer vision and image-processing solutions for desktop and embedded platforms. Built C++ and Python pipelines for object detection, OCR, and real-time image analytics using OpenCV, TensorFlow Lite, and PyTorch. Enhanced detection accuracy and speed via GPU acceleration and algorithm optimization. Integrated AI models into C#/Qt interfaces for edge devices. Mentored junior engineers, authored technical documentation, and ensured ISO quality and data security compliance.

Senior Software Engineer at Terso Solutions

October 1, 2017 - July 1, 2019

Delivered scalable healthcare and inventory management software using .NET/C#. Designed RESTful APIs, optimized SQL queries, and integrated RFID-based tracking with cloud dashboards. Connected embedded Linux devices with enterprise platforms for real-time monitoring and analytics. Increased data processing speed by 40% through performance improvements and architectural enhancements. Modernized legacy systems to .NET 6 and led DevOps automation with Docker and GitHub Actions.