Programming & Backend
Python, SQL, JavaScript, FastAPI, Django, Flask, REST APIs, production backend architecture
I'm a
I build production-ready Python systems, ML workflows, and backend platforms with clear business impact.
Novi Pazar, Serbia | +381 62 266996 | resadspahovic94@gmail.com | LinkedIn: Resad Spahovic | GitHub: resadsp | resadspahovic.com
Experienced in building production-ready Python services, ML workflows, LLM/RAG pipelines, and data platforms with measurable impact across multiple industries.
Production Python services, ML workflows, LLM/RAG pipelines, and trusted retrieval systems.
Built systems for 50,000+ daily users, improved decision accuracy by 35%, and reduced pipeline time by over 80%.
Healthcare, legal tech, agriculture, datacenter operations, analytics, and technical education.
Python Engineer with 4+ years of experience specializing in AI systems, backend development, data engineering, and ML infrastructure.
Experienced in building production-ready Python services, ML workflows, LLM/RAG pipelines, and data platforms across healthcare, legal tech, agriculture, datacenter operations, and analytics. Delivered measurable impact including applications serving 50,000+ daily users, predictive analytics that improved decision accuracy by 35%, and optimized data pipelines reducing processing time from 4 hours to 45 minutes.
Daily active users served by ML-powered applications.
Improved client decision-making accuracy on predictive analytics delivery.
Optimized data processing pipelines for faster operational delivery.
Code coverage achieved with automated testing frameworks across projects.
The site content below follows the same categories and technologies listed in the CV.
Python, SQL, JavaScript, FastAPI, Django, Flask, REST APIs, production backend architecture
TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, OpenCV, NLP, Computer Vision, Time-Series Forecasting
RAG pipelines, embeddings, vector search, pgvector, Qdrant, chatbot-assisted support, trusted retrieval workflows
PostgreSQL, MongoDB, Redis, DuckDB, MySQL, SQLite, Qdrant
AWS, GCP, Docker, Kubernetes, CI/CD, Prometheus metrics, health/readiness endpoints
JWT, RBAC, authentication/authorization, ETL pipelines, audit logs, rate limiting, automated testing, Qdrant
Each role below follows the scope and achievements listed in the CV.
LINK Group, Belgrade
Center NIT
City of Novi Pazar
Belgrade
Project descriptions and technologies aligned to the selected projects section from the CV.
Built a full medical appointment platform for patients, doctors, guests, and administrators covering booking, visit outcomes, reporting, moderation, analytics, and chatbot-assisted support.
Developed an AI-powered predictive analytics platform for historical data analysis, trend forecasting, anomaly detection, and customer behavior analysis.
Designed an AI legal support platform focused on document understanding, trusted retrieval, and guided assistance workflows.
Created an AI-based system to identify potential drug interactions and predict adverse effects across combined medication use.
Developed an AI-powered solution for detecting subtle changes in grapevine leaves and predicting possible plant diseases.
Developed a REST API for managing datacenter devices and racks with rack-unit capacity validation, power consumption checks, and balanced placement proposals.
Academic background and certifications presented in the same order as in the CV.
State University of Novi Pazar
ITAcademy by LINKGroup, Belgrade
Center NIT, Novi Pazar
Ministry of Public Administration and Local Self-Government
State University of Novi Pazar
Technical School of Novi Pazar