Who I Am
Marija Maneva
Data Science · AI Engineer
Bio
As an AI Engineer with 2 years of experience and a background in Data Science, I specialize in automating complex tasks and systems using AI. I work with Python, LLMs, LangChain, LlamaIndex, vector databases, and RAG architectures to create impactful solutions. Detail-oriented and highly motivated, I'm passionate about AI's transformative potential and committed to building solutions that deliver real value to clients and end-users.
Education
MSc. Computer Engineering (Data Science)
University of Pavia · Italy
Thesis: "A Deep Learning Framework for Vector Graphics Generation using Stable Diffusion"
BSc. Computer & Electrical Engineering
University of Pavia · Italy
Thesis: "Machine Learning Techniques for the Prediction of the Progression of Multiple Sclerosis"
Experience
Languages
Skills & Technologies
Core Skills
AI & LLM
Cloud & Infrastructure
Programming & Markup Languages
Frameworks & Libraries
Open Source & Academic Work
Fluent Journey Builder
Interactive language learning app for building personalised study journeys, tracking progress across languages, and staying consistent with structured goal-setting and visual progress tracking.
Master Thesis — Stable Diffusion for Vector Graphics
Developed a full AI generation system from text prompts with complete data pipeline. Fine-tuned Stable Diffusion on a custom dataset, deployed inference endpoint, and implemented AI-assisted prompt refinement with a user-friendly interface.
Business ChatBot Platform
AI-powered chatbot platform providing context-aware advisory services through specialized bot types. End-to-end LLM system processing structured and unstructured data.
Movie Recommendation App
Conversational recommendation application using generative AI for personalized movie suggestions through natural language. Showcases RAG architecture and multi-source data integration.
Large-Scale Movie Reviews Analytics
Conducted large-scale data analysis on movie reviews using big data technologies. Demonstrated distributed computing and cross-platform processing.
Cloud Computing — Scalable Distributed App
Developed a distributed, scalable, elastic, and fault-tolerant application leveraging AWS cloud services. Production-grade microservices with serverless architecture and infrastructure automation.
Professional Projects
Selected work applying AI and ML to real-world problems.
AI-Powered Logo Generation Tool
Implemented an AI-powered tool for automated logo generation at Reply, including fine-tuning a deep learning model on a logo dataset and integrating a vectorization pipeline to convert raster images into resolution-independent SVG formats.
Skill Agent — Conversational Profiling Tool
Developed a conversational profiling tool for SDLC work at Produkto using cloud-friendly services. Built with PostgreSQL + SQLAlchemy/Alembic for multi-user support, GPT-4 via LiteLLM, delivery flow tracking, and Angular frontend.
Proposal Validation Agent
Built a full AI pipeline for automated checking of business proposals. Implemented specialized agents for rules validation, tag extraction, conflict detection, and proof-of-work using Python, FastAPI, OpenAI, LangChain, LangFuse, and RAGAS for evaluation.
Business Analyst Chatbot
Created an intelligent chatbot with a hybrid memory system combining short-term and long-term storage for smooth, context-aware conversations. Designed for business analyst workflows with persistent context across sessions.
File Processor & Parser Pipeline
Built a document classification and parsing system that handles PDF, DOCX, and PPTX files using PyMuPDF, python-docx, and Pillow. Features meaning-based document sorting with flexible GPT model selection (Vision or Text mode).
Let's Connect
Open to opportunities and collaborations. Feel free to reach out!
Contact Info
marijamaneva99@gmail.com
GitHub
marijamaneva
Location
Wildegg, Switzerland
Usually within 24 hours