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⭐ 8+ Years Experience ⭐ Expert for Agentic and Generative AI ⭐ Architecting end-to-end solutions Experience across the full AI lifecycle; from leading AI research and development teams, to designing AI products, systems, and infrastructure, to advising CEOs on AI strategy. Today, I help companies harness the full potential of agentic AI. 📌 SELECTED WORK: 🔵 Lead AI Engineer at FileAI, Singapore Led AI Engineering Department for two years at a platform processing close to half a billion documents a year across the US, Asia, the EU and India, reporting to the CEO and owning the AI platform end to end. - Designed and shipped FileAI’s customer-facing AI assistant for automating knowledge work over a company’s own documents. Searches the user’s files, reasons over what it finds, answers with grounded citations, and generates polished PDF reports. - Generative AI OCR: researched and shipped a VLM-based OCR pipeline capturing not just raw text but document context and structure. State-of-the-art production accuracy where traditional OCR fails: Thai and Japanese scripts, long tables, checkboxes, stamps. - Agentic form filling: end-to-end system mapping extracted document content into user-defined templates, turning unstructured documents into clean structured records. Solved hard sub-problems around retrieval, multi-page table parsing, and scaling to 1000+ page documents. (LangGraph, LangChain, DeepAgents, OpenAI, Gemini, Anthropic, AWS Bedrock, AWS AgentCore, Terraform, PostgreSQL, LangSmith.) 🔵 PrivASR AI Product, fully private speech recognition Developed an End2End speech recognition solution with speaker diarization at 10x realtime for under $0.05 per hour, one-click deployable into a client's own AWS account with Terraform, at near-zero cost when idle. Whisper large-v3 on CTranslate2, pyannote voice activity detection, NeMo diarization. (Python, PyTorch, Docker, EC2, ECS) 🟠 Enterprise-grade AWS Data Mesh for a Global Reinsurance Leader Designed and deployed a multi-region multi-environment AWS Lake Formation Data Mesh solution in pure Terraform. Data Mesh operated over multiple AWS accounts representing data producers, consumers, and central data governance. Cut secure data provisioning from weeks to minutes, unblocking the company's AI programme. (AWS, Lake Formation, Terraform) 🔵 Organisation-wide AI assistant rollout for a client in Healthcare Took a company from zero to AI enabled across every team: privacy and compliance groundwork before any real data was connected, custom MCP servers wiring Claude 3P into internal systems, and AI training for each department. Teams reported doing in hours what previously took weeks. (Claude, MCP, Python, AWS) ⚫ Research Paper Publications in Peer-reviewed Journals - One-shot lip-based biometric authentication. A siamese model tying lip-movement biometrics to the spoken phrase, closing a replay-attack hole prior one-shot systems left open. 3.23% false acceptance, 3.86% false rejection on an open-set test. ISSN 0262-8856 - Automatic vision-based parking slot detection. Finds parking slots from camera images with no manual annotation, then classifies occupancy. Locates 43 of 44 slots on the PKLot UFPR05 camera with one false positive, AUC above 0.99 across every split tried. ISSN 0957-4174 🟠 Private SageMaker Studio domain, AI compute in 1-click Deployed an AWS GPU environment for a team of data scientists with no internet egress, Identity Center authentication, customer-managed encrypted EFS and private per-user storage, so no notebook, dataset or model artifact leaves the account. Terraform end to end, so a new environment comes up from one apply. (AWS SageMaker, Terraform, IAM Identity Center, EFS) ⚫ Transformer paper, 250+ Github Stars Open-source implementation of groundbreaking Vaswani, et al. "Attention is all you need." paper, 2017. 🔵 Private RAG chatbots on AWS Bedrock, for Tellofy and ComeToTheClouds Indexed website content and internal knowledge bases into support chatbots answering customer questions directly, from local proof of concept to production on AWS. (AWS Bedrock, EC2, S3, Lambda, CodePipeline) 📌 HOW I WORK: I work alongside a dozen of my own AI Agents and tools for coding, research, automated testing, deployment, etc. My agents and I can replace teams of people if the project fit is right. Before starting the engagement I want to make sure you are building the correct thing and confirm a positive ROI. I push to understand the business use case so I can emphasize on important considerations you won't think of by yourself. I will tell you when I think you are taking the wrong approach or If I am not the right person for the job. 📌 WHERE I AM NOT THE RIGHT FIT: Simple AI Wrappers, no-code automation, vibe coding - If your project is mainly a Zapier or n8n workflow, someone cheaper will do it better. I am worth the rate when the hard part is the AI / Privacy / Scale / Strategy or the infrastructure under it.

🎓 8+ Years of Delivering Exceptional Value with NLP, LLM, and Chatbot Technology ⭐ Expert-Vetted - part of top 1% experts on Upwork "𝗧𝗵𝗶𝗻𝗸𝗶𝗻𝗴 𝘆𝗼𝘂'𝗿𝗲 𝗹𝗮𝘁𝗲 𝘁𝗼 𝗔𝗜 𝘁𝗼𝗱𝗮𝘆 𝗶𝘀 𝗹𝗶𝗸𝗲 𝘁𝗵𝗶𝗻𝗸𝗶𝗻𝗴 𝘆𝗼𝘂'𝗿𝗲 𝗹𝗮𝘁𝗲 𝘁𝗼 𝘁𝗵𝗲 𝗜𝗻𝘁𝗲𝗿𝗻𝗲𝘁 𝗶𝗻 𝟭𝟵𝟵𝟲." ☎️ Get the Right AI Solution for Your Needs - Let's work together to pinpoint exactly what you need with a FREE 15-minute consultation. Hi there! 👋 I'm Ivan, and I’m here to help you navigate AI with clarity and purpose. I make sure you only implement technology when it truly adds value, solving real problems rather than adding complexity. 𝗪𝗵𝘆 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲? ✅ Expertise in Solving Real Problems: With over six years of experience in this new field, I've tackled complex projects across various industries. I design solutions that are scalable, secure, and efficient. Nothing is considered impossible without thorough exploration. ✅ Fast and Efficient Delivery: I understand the importance of deadlines and budgets. My streamlined process, including timelines and regular demos, ensures you’re always informed and projects are delivered bug-free and on time. ✅ Clear Communication: I prioritize transparent communication, actively listening and asking the right questions to fully understand your needs. You’ll always be in the loop with regular updates. ✅ Added Value Beyond Development: I look for opportunities to add value, whether through pre-built solutions or custom features tailored to your business. My goal is to maximize efficiency and deliver results that matter. ✅ Long-term Partnership: I’m committed to your success, offering ongoing support and maintenance as your business evolves. I stand by my work and remain available to assist, even years down the line. 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆-𝗦𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝗨𝘀𝗲 𝗔𝗜 𝗖𝗮𝘀𝗲𝘀 𝗜 𝗛𝗮𝘃𝗲 𝗪𝗼𝗿𝗸𝗲𝗱 𝗢𝗻: 🤝 Recruitment: - AI Recruitment Copilot: Accelerated hiring with smarter candidate matching. - CV Parser: Reduced manual effort by automating candidate information extraction. - Job Description Parser: Streamlined job postings with accurate, AI-generated descriptions. - Candidate Ranking Systems: Improved candidate selection by prioritizing the best fits. 🏥 Healthcare: - Health Regulations Compliance Analysis: Minimized compliance risks through automated analysis. - Health Recommendation Chatbots: Enhanced patient engagement with personalized AI-driven advice. 💼 Sales: - Customer Review Analysis Tool: Unlocked insights from reviews to boost product satisfaction. - SWOT Analysis: Informed strategic decisions with AI-driven analysis. - Customer Persona Builder: Increased marketing effectiveness with detailed customer profiles. 📈 Marketing: - Social Media Post Generator: Saved time and increased engagement with automated content creation. - Thumbnail Analysis: Boosted click-through rates by optimizing visual content. - Blog Generator: Streamlined content creation with automated, high-quality posts. 📊 Business Intelligence (BI): - Document Processing with OCR and VLM: Improved document management with automated classification. - Data Structuring and Formatting: Enabled faster, data-driven decisions with structured insights. ⚖️ Legal: - Legal Document Analysis: Increased compliance and reduced errors with automated document structuring. - Similar Document Recommendations: Accelerated legal research with AI-suggested related documents. - Linking Legal Documents with Regulations: Ensured regulatory alignment, reducing compliance risks. - FTC Compliance Analysis Tool: Protected businesses from legal issues with automated content reviews. 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸: - Programming Languages 🐍: Python, R - Machine Learning 🤖: Tensorflow, Keras, PyTorch - LLM 📝: HuggingFace, Mixtral, GPT-4o, LLama, Groq, Claude - Chatbot tools 💬: LangChain, RAG, LlamaIndex - Deployment 🚀: FastAPI, Streamlit, Flask, LangServe - Vectorstores 🔢: Qdrant, Pinecone, Elasticsearch - Version Control 🗃️: Git, Docker, LangSmith - Cloud Platforms 📊: Azure, AWS, GCP, Heroku 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗜 𝗢𝗳𝗳𝗲𝗿: - First MVP in 2 Weeks: Get a functional MVP quickly to validate your idea. - AI Strategy Planning: Develop a clear roadmap for implementing AI in your business. - Solutions Proposal: Tailored solutions to meet your specific business needs. - End-to-End Development: From ideation to deployment, I manage the full project lifecycle. - Ongoing Support and Maintenance: Continuous support to ensure your AI systems evolve with your business. - Access to DevOps Experts: Fast-track your project with my network of "plug-and-play" developers, especially if speed is a priority. Thank you for considering me for your project. Hope we can work together. 🤗 Ivan

I build machine learning models. To keep up with the field, I actively read machine learning papers and books, listen to podcasts, and pursue personal projects. Education and experience: I am a PhD in Computer Science on the topic of argumentation mining (subarea of NLP, natural language processing). I have also worked on large-scale software design and development as an software development engineer in AWS CloudWatch. Communication: My English is excellent and I can provide updates as often as needed. I've worked and lived in Amazon, in Ireland for 3 years. Skills: • areas of expertise: machine learning, software design, algorithms • programming languages: python, Java, C++ • technologies: AWS, docker, git, linux Some past projects: • Large-scale in-memory noSQL database for time series data • Semantic search engine for Croatian legal documents • Argumentation mining framework as part of PhD thesis

ABOUT ME MD + PhD (medical ML) and a recent MSc in AI. I work hands-on as an ML/AI engineer, mostly on healthcare AI and LLM-native apps (RAG + agents + tool/function calling), and I’m comfortable taking things from idea → prototype → production. In the last couple of years I’ve been building and shipping: - LLM-native SaaS for customer support (text + voice agents): RAG with LlamaIndex/LangChain, dynamic function calling, and parallel tool execution for faster inference, plus backend-heavy full-stack work. - Cloud deployment & maintenance on AWS + GCP (Lambda/Cloud Functions, API Gateway, Postgres, etc.). - Voice-to-voice agents using LiveKit/Twillio and LLM APIs (OpenAI / Gemini). - Research and applied projects around clinical decision support, error checking, and safety with modern LLMs/LRMs. Recently, I’ve also worked on research projects using supervised fine-tuning (SFT) and RLVR with medgemma27n and GPT-OSS, focused on medical error checking and improving patient outcomes. Working freelance on: AI in healthcare / medical AI (classical ML + deep learning) RAG applications / RAG chatbots (LlamaIndex, LangChain, vector DBs, evaluation) AI agents (LangChain, LlamaIndex, Autogen) + tool/function calling Fine-tuning (SFT, preference/RLVR-style training), dataset curation, eval & guardrails AWS Lambda + API Gateway / GCP Cloud Functions deployment End-to-end ML pipelines (data → model → monitoring) Data analysis, statistics, biostatistics, visualization Academic & medical writing, literature reviews, consulting If you message me, the fastest way to start is: what’s the goal, what data you have (and where it lives), and how the output will be used (internal tool, customer-facing app, research paper, etc.). I’m happy to jump in either as “build the thing” or “fix/upgrade what’s already there.”

I help teams ship useful AI, and teach their people to use it confidently. I’m an AI educator and consultant with five years of experience in EdTech creating courses and learning programs for Fortune 500 companies. My focus areas include NLP, Computer Vision, Time Series & anomaly detection, Edge AI, and Agentic AI. What I do: • AI enablement & advisory: clarify the problem, choose the right approach/tools, and outline a pragmatic roadmap. • Course & training creation: curricula, micro-lessons, labs, projects, assessments, and facilitator guides tailored to your audience. • Technical writing: tutorials, playbooks, articles, and documentation that are accurate, readable, and SEO-sound. • Prototyping & analysis: decision-ready notebooks, lightweight demos, and visuals that de-risk bigger builds. Deliverables Complete curricula (outcomes → syllabus → lessons/modules → slides → scripts → Jupyter/Colab labs → datasets → rubrics → quizzes/exams → projects/capstones); hands-on workshops; executive briefs; technical articles; lightweight AI prototypes