AI Product Features
Prediction engines, recommendation logic, and NLP workflows.
About
Python engineer focused on production-ready AI, backend, and data systems with measurable impact on reliability, efficiency, and decision-making.
Python Engineer | AI Systems Engineer | Backend & ML Infrastructure
I design and deliver scalable applications, ML workflows, and API platforms across healthcare, legal tech, agriculture, and analytics.
- Birthday: 17 January 1994
- Phone: +381 62 266996
- City: Novi Pazar, Serbia
- Age: 32
- Degree: Master
- Freelance: Busy
Focus
Applied AI
ML systems, retrieval workflows, NLP pipelines, and trusted AI features.
Strength
Python Ecosystem
FastAPI, Flask, Django, PyTorch, TensorFlow, Pandas, SQL, and ETL delivery.
Edge
Teaching Mindset
Clear communication, mentoring, and maintainable systems built for real teams.
40%+
Efficiency gains on delivered data solutions.
4
Core domains: healthcare, legal tech, agriculture, and analytics.
End-to-End
From data prep and training to APIs and dashboards.
Mentor
Certified Python instructor with hands-on experience.
What I Build
I build systems that need performance, clarity, and business value.
Backend APIs
Python services with clean architecture and scalable data access.
Analytics Systems
ETL pipelines, dashboards, reporting, and forecasting workflows.
Training & Mentoring
Technical guidance, Python instruction, and team mentoring.
Skills
Strongest in production-ready Python engineering across backend APIs, AI workflows, retrieval systems, analytics pipelines, and data platforms.
Python 96%
Machine Learning & AI 92%
SQL/NoSQL 94%
Data Engineering 90%
Cloud & DevOps 85%
FastAPI/Django/Flask 91%
API Architecture 87%
Deep Learning 88%
Analytics & Reporting 86%
JavaScript 75%
FastAPI
Flask
Django
RAG Pipelines
pgvector
PyTorch
TensorFlow
Pandas
NumPy
scikit-learn
PostgreSQL
Redis
MongoDB
DuckDB
MySQL
Apache Spark
ETL Pipelines
REST APIs
AI Assistants
Docker
Resume
Experience, education, and the profile behind the systems I build and ship.
Education
Master's Degree in Computer Science and Mathematics
2022 - 2024
State University of Novi Pazar
AI & Python Development
2022 - 2023
ITAcademy by LINKgroup, Belgrade
HTML, CSS, JavaScript & React
2021
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
Work Experience
Python Engineer
2024 - Present
LINK Group
Architecting and delivering production-ready AI, backend, and data systems, including ML-powered applications serving 50,000+ daily active users.
Python Programming and Machine Learning Instructor
2022 - 2023
Center NIT Novi Pazar
Designed and taught Python and machine learning programs for 200+ students, with practical projects, mentoring, and automated assessment workflows.
System Administration
2019 - 2022
City of Novi Pazar
Managed infrastructure and internal IT operations for 500+ employees, improving recovery speed, reliability, and day-to-day service efficiency.
Private Instructor for Mathematics and Computer Science
2017 - 2019
Belgrade and Novi Pazar
Provided personalized instruction in mathematics and programming, building the communication and structured problem-solving approach that now strengthens engineering delivery.
Current profile
Production-minded engineer with strong product judgment
I work best on systems that require both technical depth and business clarity: backend APIs, ML workflows, retrieval systems, analytics platforms, and data products.
- Comfortable moving from prototypes to maintainable production systems.
- Strong in Python architecture, data workflows, and backend organization.
- Able to translate complex technical work into clear delivery for teams and clients.
Preferred stack
Python, FastAPI, Django, Flask, PyTorch, TensorFlow, Pandas, PostgreSQL, MongoDB, DuckDB, Apache Spark, REST APIs, Docker.
Certifications
AI & Python Development, ITAcademy by LINK Group. Full-Stack Web Development, Center NIT.
Selected Projects
Selected work across healthcare, business intelligence, legal AI, agritech, and infrastructure systems.
Medilab Clinic Operations Platform
Full medical operations platform for patients, doctors, guests, and administrators, combining booking, visit outcomes, moderation, analytics, reporting, and verified chatbot support.
- Built with FastAPI, PostgreSQL, SQLAlchemy, Alembic, JWT authentication, Docker, and static frontend delivery.
- Includes doctor reports with PDF export, guest booking flows, admin moderation and risk review tools, and retrieval limited to trusted Medilab data.
- Business value: centralizes clinic operations, improves patient and doctor workflows, and enables trusted automated assistance.
Predictive Analytics Platform
AI-powered predictive analytics platform for forecasting trends, detecting anomalies, and supporting faster strategic decision-making.
- Built with FastAPI, TensorFlow, PyTorch, Pandas, NumPy, Apache Spark, PostgreSQL, MongoDB, DuckDB, and Dash/Plotly.
- Combined ETL pipelines, model serving, dashboard reporting, and decision-ready analytics in one workflow.
- Business value: automates insight generation and improves decision quality through data-backed forecasting.
AI Legal Assistant Platform
AI legal support platform built around document understanding, trusted retrieval, and guided assistance for faster access to legal information.
- Structured around legal document processing, backend services, retrieval pipelines, and user-facing assistant logic.
- Focused on reducing research friction while preserving trust and clarity in retrieved information.
- Business value: improves information access and helps users navigate document-heavy legal workflows more efficiently.
Drug Interaction Risk Analysis
AI-based system for identifying potential drug interactions and predicting adverse effects across combined medication use.
- Combined scikit-learn, TensorFlow, spaCy, NLTK, Flask, FastAPI, and PostgreSQL for medical text understanding and risk assessment.
- Designed for safer pharmaceutical decisions with a clearer user-facing workflow for data entry and recommendations.
Early Detection of Grapevine Diseases
AI-powered detection workflow for spotting subtle grapevine leaf changes early and improving crop health monitoring.
- Built with PyTorch, NumPy, Matplotlib, MySQL, and Flask for scalable agricultural monitoring workflows.
- Focused on reducing crop loss, improving disease response timing, and supporting better yield outcomes.
Datacenter Management API
REST API for managing datacenter devices and racks, with capacity validation, power constraints, auditability, and balanced placement proposals.
- Built with FastAPI, SQLAlchemy, SQLite/PostgreSQL, Docker, JWT authentication, RBAC, health endpoints, metrics, rate limiting, and audit logging.
- Includes optimistic locking, Idempotency-Key support, rack assignment safeguards, balancing logic, and an evaluation-ready dashboard.
- Business value: improves asset control, enforces infrastructure constraints, and supports more reliable operational decisions.
My Workspace
A reliable environment matters. This is the setup where I plan, build, test, and refine ideas into working software.
