Python Engineer | AI Systems Engineer | Backend, Data & ML Infrastructure

Resad Spahovic

I'm a

I build production-ready Python systems, ML workflows, and backend platforms with clear business impact.

About

Novi Pazar, Serbia | +381 62 266996 | resadspahovic94@gmail.com | LinkedIn: Resad Spahovic | GitHub: resadsp | resadspahovic.com

Portrait of Resad Spahovic
Python Engineer | AI Systems Engineer | Backend, Data & ML Infrastructure

Experienced in building production-ready Python services, ML workflows, LLM/RAG pipelines, and data platforms with measurable impact across multiple industries.

  • Birthday: 17 January 1994
  • Phone: +381 62 266996
  • Location: Novi Pazar, Serbia
  • Age: 32
  • Degree: Master's Degree
  • Website: resadspahovic.com
Focus
AI Systems

Production Python services, ML workflows, LLM/RAG pipelines, and trusted retrieval systems.

Impact
Measured Delivery

Built systems for 50,000+ daily users, improved decision accuracy by 35%, and reduced pipeline time by over 80%.

Domains
Cross-Industry Experience

Healthcare, legal tech, agriculture, datacenter operations, analytics, and technical education.

Professional Summary

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.

50,000+

Daily active users served by ML-powered applications.

35%

Improved client decision-making accuracy on predictive analytics delivery.

4h to 45m

Optimized data processing pipelines for faster operational delivery.

95%

Code coverage achieved with automated testing frameworks across projects.

Core Technical Stack

The site content below follows the same categories and technologies listed in the CV.

Programming & Backend

Python, SQL, JavaScript, FastAPI, Django, Flask, REST APIs, production backend architecture

AI / Machine Learning

TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, OpenCV, NLP, Computer Vision, Time-Series Forecasting

LLM / Retrieval

RAG pipelines, embeddings, vector search, pgvector, Qdrant, chatbot-assisted support, trusted retrieval workflows

Databases & Storage

PostgreSQL, MongoDB, Redis, DuckDB, MySQL, SQLite, Qdrant

Cloud & DevOps

AWS, GCP, Docker, Kubernetes, CI/CD, Prometheus metrics, health/readiness endpoints

Security & Data

JWT, RBAC, authentication/authorization, ETL pipelines, audit logs, rate limiting, automated testing, Qdrant

Professional Experience

Each role below follows the scope and achievements listed in the CV.

Python Engineer

2024 - Present

LINK Group, Belgrade

  • Architected and deployed ML-powered applications serving 50,000+ daily active users. Improved decision-making accuracy by 35% and reduced data processing time from 4 hours to 45 minutes.
  • Led development of a predictive analytics platform for higher-quality operational and business decisions.
  • Optimized production data pipelines for faster and more reliable analytics delivery.
  • Mentored 5 junior developers and introduced best practices for ML model deployment.
  • Implemented automated testing frameworks, achieving 95% code coverage across projects.

Python Programming and Machine Learning Instructor

2022 - 2023

Center NIT

  • Designed and delivered Python and Machine Learning curriculum for 200+ students.
  • Built hands-on projects simulating real-world industry challenges across Python, ML, and data workflows.
  • Created automated assessment tools that reduced grading time by 60%.
  • Achieved 92% student satisfaction and 85% job placement within 6 months.

System Administration

2019 - 2022

City of Novi Pazar

  • Managed IT infrastructure for 500+ employees across multiple government departments.
  • Implemented automated backup systems, reducing data recovery time by 80%.
  • Led digital transformation initiatives that improved citizen service efficiency by 45%.
  • Developed internal Python tools to automate routine administrative workflows.

Private Instructor - Mathematics and Computer Science

2017 - 2019

Belgrade

  • Provided personalized instruction to 100+ students in advanced mathematics and programming.
  • Developed custom learning materials and interactive coding exercises.
  • Achieved 95% student improvement rate in standardized test scores.
Current role

Python Engineer building AI systems, backend services, and data platforms

Current work centers on production-ready Python services, predictive analytics, ML deployment, retrieval workflows, and maintainable backend architecture.

  • AI systems, ML infrastructure, backend APIs, and data engineering.
  • Trusted retrieval workflows, analytics platforms, ETL delivery, and automated testing.
  • Strong mentoring background from technical instruction and team guidance.
Contact

Novi Pazar, Serbia
+381 62 266996
resadspahovic94@gmail.com

Profiles

LinkedIn: Resad Spahovic
GitHub: resadsp
Website: resadspahovic.com

Selected Projects

Project descriptions and technologies aligned to the selected projects section from the CV.

HealthTech Platform

Medilab Clinic Operations Platform

Built a full medical appointment platform for patients, doctors, guests, and administrators covering booking, visit outcomes, reporting, moderation, analytics, and chatbot-assisted support.

  • Implemented role-based workflows with JWT authentication, admin moderation, risk review, doctor report generation with PDF export, and trusted chatbot retrieval limited to verified Medilab data.
  • Key technologies: FastAPI, PostgreSQL, SQLAlchemy, Alembic, JWT, Docker, HTML, CSS, JavaScript, pgvector, Qdrant.
  • Business value: centralizes clinic operations, improves patient and doctor workflows, and strengthens administrative oversight.
Business Intelligence

Predictive Analytics Platform

Developed an AI-powered predictive analytics platform for historical data analysis, trend forecasting, anomaly detection, and customer behavior analysis.

  • Designed ETL workflows with Pandas, NumPy, and Apache Spark, integrated multiple databases, and delivered dashboard reporting with Dash/Plotly.
  • Key technologies: FastAPI, TensorFlow, PyTorch, Pandas, NumPy, Apache Spark, PostgreSQL, MongoDB, DuckDB, Dash/Plotly.
  • Business value: automates insight generation and improves decision quality through data-backed forecasting.
Legal AI

AI Legal Assistant Platform

Designed an AI legal support platform focused on document understanding, trusted retrieval, and guided assistance workflows.

  • Structured around legal document processing, backend services, retrieval pipelines, and user-facing assistant logic.
  • Key technologies: AI retrieval workflows, backend services, legal document processing, RAG, vector search, Qdrant, assistant logic.
  • Business value: improves information access and helps users navigate document-heavy legal workflows more efficiently.
Healthcare AI

Drug Interaction Risk Analysis

Created an AI-based system to identify potential drug interactions and predict adverse effects across combined medication use.

  • Applied machine learning and NLP techniques for medical text understanding, risk assessment, and safer recommendation workflows.
  • Key technologies: Flask, FastAPI, Scikit-learn, TensorFlow, PostgreSQL, spaCy, NLTK.
  • Business value: supports pharmaceutical safety, reduces patient risk, and improves medical decision support.
Agritech AI

Early Detection of Grapevine Diseases

Developed an AI-powered solution for detecting subtle changes in grapevine leaves and predicting possible plant diseases.

  • Implemented deep learning workflows for leaf pattern analysis and used database storage for scalable agricultural monitoring.
  • Key technologies: PyTorch, NumPy, Matplotlib, MySQL, Flask.
  • Business value: helps vineyards reduce crop loss, improve disease management, and increase yield efficiency.
Infrastructure API

Datacenter Management API

Developed a REST API for managing datacenter devices and racks with rack-unit capacity validation, power consumption checks, and balanced placement proposals.

  • Implemented JWT authentication, RBAC, audit logging, health/readiness endpoints, metrics, rate limiting, optimistic locking, and idempotency support.
  • Key technologies: FastAPI, SQLAlchemy, SQLite/PostgreSQL, Docker, JWT, RBAC, Prometheus metrics, audit logs.
  • Business value: improves asset control, enforces infrastructure constraints, strengthens traceability, and supports reliable operational decisions.

Education & Certifications

Academic background and certifications presented in the same order as in the CV.

Master's Degree in Computer Science and Mathematics

2022 - 2024

State University of Novi Pazar

AI & Python Development

2023 - 2024

ITAcademy by LINKGroup, Belgrade

HTML, CSS, JavaScript & React

2022 - 2023

Center NIT, Novi Pazar

State Professional Exam

2021

Ministry of Public Administration and Local Self-Government

Bachelor's Degree in Computer Science and Mathematics Education

2012 - 2017

State University of Novi Pazar

Computer and Electrical Technician

2008 - 2012

Technical School of Novi Pazar

Certifications

  • AI & Python Development - ITAcademy by LINKGroup, Belgrade - 2023 - 2024
  • HTML, CSS, JavaScript & React - Center NIT, Novi Pazar - 2022 - 2023

Contact

For collaboration, freelance work, or full-time opportunities, reach out directly.

Location:

Gojka Bacanina bb, Novi Pazar 36300, Serbia

Call:

+381 62 266996