AI Engineer with 1+ years in LLM-powered applications & multi-agent systems
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AI Engineer with hands-on experience designing, developing, and deploying LLM-powered applications and multi-agent systems from prototype through production. Certified Databricks Generative AI Engineer Associate and Machine Learning Associate. Experienced in building RAG systems, agentic workflows, and tool-use architectures around foundation models with a focus on prompt engineering, fine-tuning, and evaluation for domain-specific use cases. Comfortable optimizing model inference for latency, throughput, and cost, and translating emerging research into production-ready features.
FIEK - Faculty of Electrical and Computer Engineering, Prishtinë
Bachelor · Computer and Software Engineering
August 1, 2022 – June 30, 2025
Genpact
AI Engineer
March 1, 2026 – Present
India
Sinnphonie
Fullstack Developer Intern
September 1, 2025 – March 1, 2026
India
Independent Remote
Freelance Fullstack Developer
July 1, 2025 – Present
India
IPRMS - Intelligent Purchase Requisition Management System
June 24, 2026 – Present
Designed and built an intelligent 8-agent AI pipeline that fully automates the purchase requisition process — eliminating manual work across the entire procurement workflow, from the moment a request is submitted to final approval and audit logging. Each agent handles a distinct stage of the process — document parsing and data extraction, policy compliance validation, vendor evaluation and matching, anomaly and risk detection, approval routing, and full audit trail generation - working together as a coordinated pipeline.
Pharmacy AI Assistant
June 24, 2026 – Present
Built a conversational AI assistant that helps pharmacists and patients get accurate answers about medications, side effects, and drug interactions. The system automatically detects dangerous queries (e.g. harmful intent, off-topic questions) and blocks them before answering - safety-first design. Two modes: a fast mode for simple questions and a smart agent mode that plans its own research steps for complex multi-part questions. Fully deployed with a web interface, REST API, and version-controlled model registry — ready for production use.
AI Code Deconstructor
June 24, 2026 – Present
Built a web platform that shows exactly how an AI model generates code — step by step, decision by decision — making the process transparent instead of a black box. Includes automatic code quality analysis: the platform scores structure, complexity, and readability of any AI-generated code. Designed and built the complete product end-to-end — backend API, AI integrations, and a modern web frontend.
Credit Card Fraud Detection
June 24, 2026 – Present
Built an automated system that scans 280,000+ financial transactions and flags fraudulent ones — the kind of tool a bank or fintech uses to protect customers in real time. Compared four different AI approaches and identified the two best-performing models, both catching 97-99 out of every 100 fraudulent transactions while keeping false alarms low.
Event Planner System
June 24, 2026 – Present
Developed a multi-tenant event planning platform where users can discover, compare, and book all services needed for an event — venues, catering, and entertainment — in one place. Supported distinct roles for service providers and clients, each with tailored access and management capabilities.
Interactive Address Registry System
June 24, 2026 – Present
Developed an interactive web platform for registering and locating addresses, searchable by city and settlement - designed for both citizens and administrators. Admins can add, edit, and manage address records; users can search and navigate the registry through a clean, accessible interface.
Databricks Certified Generative AI Engineer Associate
Databricks
January 1, 2026 – Present
Databricks Certified Machine Learning Associate
Databricks
January 1, 2026 – Present
Python
Unknown
January 1, 2025 – Present
Big Data Analytics & Cloud Computing
Unknown
January 1, 2024 – Present
Web Development
Unknown
January 1, 2022 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for an AI Engineer role through a diverse portfolio of AI projects, including multi-agent systems, conversational AI, and fraud detection. The blend of professional and academic projects, along with freelance experience, shows adaptability and a proactive learning attitude. The focus on practical, deployable solutions (e.g., 'fully deployed with a web interface, REST API, and version-controlled model registry') aligns with a results-oriented culture. The continuous pursuit of certifications (Databricks) indicates a commitment to staying current with industry trends and best practices.
Soft Skills & Operational Fit
The candidate's project descriptions highlight an ability to translate business requirements into technical solutions, manage full delivery cycles, and focus on safety-first design (e.g., Pharmacy AI Assistant). This indicates strong problem-solving, project management, and user-centric design skills. The experience in freelance work also suggests autonomy and client communication skills. The professional summary is well-articulated, demonstrating good communication.