Hire the Best Machine Learning Engineers
in Estonia
Tallinn, Estonia
CLIENT WORK Clients have been hiring me to help them with the following: reverse-engineering both ELF and PE binaries; writing performance-critical programs for desktop computers and microcontrollers alike; designing custom PCBs (experience with up to 8 layers), including ones carrying these ICs: STM32s, various BGA/QFP FPGAs, crypto modules, SRAM and NAND flash, frequency synthesizers, and power regulators; writing client-server APIs with authentication and rate-limiting; assisting in setting up their GNU/Linux machines and debugging various system-level issues; and security-hardening GNU/Linux systems. OVERVIEW I am an inquisitive software and hardware developer. My areas of interest, as of now, are custom hardware design, signal processing, professional audio, radio, electromagnetics, and aircraft control and navigation systems design. I love learning how things that I'm interested in work and then building them my own way, with my own rules. The non-client work that I do is always guided by this principle. My current experience lies in these domains: systems and hardware engineering; OS development; and setup, management, maintenance, and defense of GNU/Linux servers. My primary language is C (C99 for portability) for most code. For the most safety-critical applications, such as flight computers, navigation or radar systems, or radios, I use Ada (SPARK). HARDWARE For hardware design, when it comes to HDL, I use SystemVerilog, together with a board's native toolchain. Thus far, I've been working with Vivado and Quartus, then yosys and nextpnr for open boards. When it comes to PCBs, I use Altium (switched from KiCad) and PCB Toolkit in tandem, and am aiming to start using ANSYS soon. SIDE PROJECTS One of my current passion projects is a from-scratch compute platform (from the logic gates and PCB, through the bootloader, to userspace) that, on the software side, defines a non-POSIX kernel with userspace above it (the software side also works on the i386 and the AMD64) that I am writing in C99 in my free time. On the hardware side, the operating system is deployed across a set of four FPGAs, each using my custom 16-instruction processor architecture, which I call the "Minimal Instruction Set Computer," defined in Sail. The Sail architecture is used as a reference for the 32-bit processor, a.k.a. the "DANGLING Logic Unit," written in SystemVerilog. The individual FPGAs in the set have their specific roles. The master of the four is the "DANGLING Central Logic Unit." The DCLU has access to all of the three other units. Secure operations are handled by the "DANGLING Cryptographic Co-processor Unit." The DCCU is involved during each stage of the system's runtime. For expansion capability, there is the "DANGLING Peripheral Unit," whose role is interfacing with any external system that understands my custom serial protocol, EMIEMI. The idea of this compute platform started as a modular synthesizer, which means that audio is the centermost feature. Most resources go toward that stage. It is handled by the "DANGLING Sound Unit." Each processor has its own PSRAM, SDRAM, and NAND flash, except the DCCU, which is isolated to try to prevent leakage or intentional corruption of secure data. The DCCU is instead initialized by the DCLU and only communicates with and via the DCLU. Beyond that, on the side, I am currently building a custom flight management computer for a custom aircraft configuration, which is a project that I interweave with the custom OS/CPU project described above. GITHUB An overview of my personal, non-client work items can be found on my GitHub profile.
- C
- Linux
- API Development
- Ada
- Defense & Military
- Electronics
- PCB Design
- Multilayer PCB
- Systems Engineering
- Software Development
- Assembly Language
- Hardware Design
- Hardware Prototyping
- SystemVerilog
- Aerospace
- Aeronautics
- Firmware Programming
- Operating Systems Development
- Telecommunications Engineering
Tallinn, Estonia
I'm an experienced ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ and ๐๐๐ง๐๐ซ๐๐ญ๐ข๐ฏ๐ ๐๐ specialist with a background in ๐๐๐ญ๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ข๐ง๐ with extensive experience in designing and implementing end-to-end AI and ML solutions. My expertise spans various industries, and I've worked with multi-national teams to deliver innovative solutions. ๐๐ Are you looking to optimize your data engineering pipelines or leverage advanced machine learning for real-world impact? Need assistance in designing and deploying robust AI and ML solutions in your business environment? Let's connect and transform your ideas into actionable outcomes. ๐ง๐ปโจ โ๏ธCore Services โ Generative AI and Large Language Models (LLMs)๐ค โขย Proficient in AutoGen and GPT-3.5-turbo for a range of generative AI applications, from code generation to task automation. โข Experienced in creating multi-agent frameworks, conducting reinforcement learning with human feedback (RLHF), and integrating document processing and analysis with tools like ChatGPT and Langchain. โขย Skilled in designing complex workflows, implementing custom prompts, and exploring parameter-efficient fine-tuning techniques to optimize LLM performance. โ Machine Learning and Predictive Analytics๐ โขย Built ML models for sales forecasting, financial analysis, and other predictive tasks. โขย Strong background in PySpark and ML algorithms like Prophet and SARIMAX. โขย Used Google BigQuery, Google Dataproc, and Apache Airflow for orchestration in various projects. โ Data Engineering and ETL Pipelines ๐ โข Specialize in designing, optimizing, and migrating ETL pipelines using Azure Data Factory, Databricks, Google Cloud Platform (GCP), and more. โข Extensive experience in large-scale data transformation and efficient data flow. โ Chatbot Development๐ฌ โข Design and deploy intelligent chatbots integrated with various data sources or APIs to enhance customer engagement and streamline business processes. โ Custom Python Scripting and APIs ๐ โขDevelop custom Python scripts and APIs to interact with databases, AI models, and other software systems, enabling seamless automation and integration with existing workflows. ๐๐ง๐ข๐ช๐ฎ๐ ๐๐จ๐ฆ๐ฉ๐๐ญ๐๐ง๐๐ข๐๐ฌ: ๐๐๐ซ๐๐ฆ๐๐ญ๐๐ซ-๐๐๐๐ข๐๐ข๐๐ง๐ญ ๐ ๐ข๐ง๐-๐๐ฎ๐ง๐ข๐ง๐ (๐๐๐ ๐) โ: I have expertise in advanced LLM techniques, including fine-tuning, chain-of-thought prompting, and reinforcement learning with human feedback (RLHF). ๐๐-๐๐๐ฌ๐๐ ๐๐ฎ๐ฌ๐ข๐ง๐๐ฌ๐ฌ ๐๐ฎ๐ญ๐จ๐ฆ๐๐ญ๐ข๐จ๐ง โก: I can help you automate business processes and boost efficiency using AI and ML techniques. ๐๐๐ฌ๐๐๐ซ๐๐ก, ๐๐จ๐ง๐ฌ๐ฎ๐ฅ๐ญ๐๐ญ๐ข๐จ๐ง ๐๐ง๐ ๐๐๐ฏ๐๐ฅ๐จ๐ฉ๐ฆ๐๐ง๐ญ ๐ฌ: I offer expert guidance and hands-on development in AI and ML, focusing on delivering practical solutions to real-world challenges. ๐๐๐ญ'๐ฌ ๐๐จ๐ง๐ง๐๐๐ญ: ๐ก If you're interested in exploring the potential of AI, data engineering, or machine learning for your business, I'd love to hear from you. Let's discuss your requirements and create tailored solutions to meet your unique needs. Together, we can drive innovation and transform your vision into reality. #MachineLearningEngineer #GenerativeAI #LLMDeveloper #ChatGPTExpert #AutoGen #Langchain #AIConsultant #OpenAI #NLPDeveloper #RLHF #FineTuningLLMs #FreelanceAI #RemoteMLJobs #HireMachineLearningEngineer #AIExpertForHire #FreelanceDataEngineer #RemoteAIProjects #HireLLMExpert #AvailableForFreelance #AIAutomation #AIForBusiness #FintechAI #AIInHealthcare #PredictiveAnalytics #RealEstateAI #SalesForecastingAI #CustomAIDevelopment #AIChatbots #AIInnovation #TechFreelancer #AIProject #PythonDeveloper #FreelancerLife #DataScience #ArtificialIntelligence #TechConsultant #NextGenAI #BuildWithAI
- Machine Learning
- Databricks Platform
- Apache Spark
- MLflow
- Python
- ETL Pipeline
- Apache Airflow
- PySpark
- Google Cloud Platform
- CI/CD
- Microsoft Azure
- Generative AI
- LLM Prompt Engineering
- LangChain
- Retrieval Augmented Generation
Tallinn, Estonia
๐ Introduction: Hi, I'm Rain Padjus, a Machine Learning Engineer from Tallinn, Estonia. ๐ Core Skills: - Data Analysis & Visualization: Python, C/C++, Pandas, Matplotlib, Seaborn. - Machine Learning & AI: Scikit-learn, NumPy, PyTorch, Fastai, NLTK, RAGs, LLamaindex, Ollama, Local LLMs, Finetuning, LangChain. ๐ Projects: - Smart RAG System Over Complex Files: (RAG, LLamaindex, Local LLMS, ollama) - OpenAI API with Voice Assistance on Call: (Python, ChatGPT API, VoIP API) - Vision Transformer Implementation: (GitHub dataset) - Text Parsing and Analysis Tool: (Streamlit, Langchain, OPENai API) - Data Analytics at Ericsson: Enhancing decision-making and process optimization. - E-Learning Platform Enhancement: Machine learning for user engagement. - Advanced Chatbot Development: NLP and AI integration. ๐ Education: - Bachelorโs in Computer Science, Peter the Great St. Petersburg Polytechnic University. - Continuous learning: NLP (Lena Voita), Practical DL (Fast.ai), Missed CS Semester (MIT). ๐ผ What I Offer: - In-depth data analysis, visualization, and preprocessing. - Deep learning model development and fine-tuning. - Predictive modeling and complex problem-solving algorithms. Looking forward to bringing my deep learning and AI expertise to your projects, turning data into actionable insights.
- Machine Learning
- Deep Learning
- SQL
- Matplotlib
- Python
- Data Visualization
- NumPy
- pandas
- C++
- Python Scikit-Learn
- Data Science
- PyTorch
Tartu, Estonia
I help businesses build end-to-end AI products using modern LLMs/VLMs, from intelligent backend systems to clean, user-friendly web interfaces. My goal is simple: deliver reliable, production-ready AI solutions that behave predictably, scale well, and provide real business value, not fragile demos or experimental code. โโโโโโโโโโโโโโโโโโโโโโ ๐ช๐ต๐ฎ๐ ๐ ๐๐ฎ๐ป ๐๐๐ถ๐น๐ฑ ๐ณ๐ผ๐ฟ ๐ฌ๐ผ๐ โข LLM chatbots & AI assistants with web interfaces โข AI agents with tool-calling, memory, and multi-step workflows โข RAG systems for document search, knowledge bases, and internal tools โข AI automation tools to streamline business workflows โข Speech-to-Text (STT) and Text-to-Speech (TTS) AI solutions โข NLP solutions (classification, extraction, summarization) โข Complete AI products: backend, frontend, and cloud deployment โโโโโโโโโโโโโโโโโโโโโโ ๐๐ผ๐ ๐ ๐ช๐ผ๐ฟ๐ธ โข Clear system design focused on reliability and maintainability โข Simple, clean frontend that real users can understand โข Predictable timelines and transparent communication โข Full ownership from idea โ development โ deployment โโโโโโโโโโโโโโโโโโโโโโ ๐ง๐ฒ๐ฐ๐ต ๐ฆ๐๐ฎ๐ฐ๐ธ ๐๐ & ๐๐ฎ๐ฐ๐ธ๐ฒ๐ป๐ฑ โข Python, FastAPI โข LangChain, LangGraph โข Hugging Face (models, inference, fine-tuning) โข Open-source & API-based LLMs โข Vector databases (Pinecone, Qdrant, FAISS, pgvector) โข PostgreSQL, MongoDB, Redis ๐๐ฟ๐ผ๐ป๐๐ฒ๐ป๐ฑ โข TypeScript, React, Next.js, Tailwind CSS ๐๐ฒ๐ฝ๐น๐ผ๐๐บ๐ฒ๐ป๐ โข Docker โข AWS / GCP โข Git & CI/CD โโโโโโโโโโโโโโโโโโโโโโ ๐ช๐ต๐ ๐๐น๐ถ๐ฒ๐ป๐๐ ๐๐ต๐ผ๐ผ๐๐ฒ ๐ ๐ฒ โข Production-focused implementations โข Clean APIs, stable and scale-able systems โข Strong focus on business outcomes, not just AI features โโโโโโโโโโโโโโโโโโโโโโ If youโre looking for someone who can build AI agents, voice-enabled systems, or LLM-powered features that actually work and ship cleanly, feel free to message me and tell me about your project.
- Machine Learning
- Deep Learning
- Python
- AI Agent Development
- Back-End Development
- REST API
- Automation
- Chatbot
- LLaMA
- OpenAI API
- Front-End Development
- TypeScript
- Hugging Face
- Cloud Services
- Retrieval Augmented Generation
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Machine Learning Engineer job description template
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Machine Learning Engineer interview questions
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