Hire the Best Python Numpy Developers
in Armenia

💎 Python 💎 SQL 💎 AWS, Spark, API, LLM ⚒️ ETL ⚒️ BI ⚒️ Data Warehouse 🏢 American insurance company with more than 50 AMS sources with different types of integration and structure unified to single data model ➡️ 2022 – 2026 Data Engineer 🏢 UK Logistics company processing returns from top retailers in Europe ➡️ 2021 – 2022 Database Administrator – solely built and maintained MS SQL database to support daily ETL and analytics processes 🏢 Top 4 telecommunication provider in Russia ➡️ 2020 – 2022 BI Developer – built and maintained the environment with more than 200 daily ETL streams, end-to-end development (from external data source to corporate DWH and dashboard) ➡️ 2018 – 2020 Data Analyst – analysis and insights for country-wide sales and system processes

Hi! I am a Python developer with over 4 years of experience, specializing in building robust backend systems and automated trading bots. I have extensive experience in: Python Backend Systems: Developing APIs and backend applications using FastAPI, Flask, Falcon, with SQLAlchemy for database integration. Trading Bots & Automation: Built multiple fully automated trading bots for stocks, futures, and options, including data handling, logging, alerts, and integration with Interactive Brokers. Data Analysis & Visualization: Preprocessing, statistical analysis, and visualization using Jupyter, Pandas, Seaborn, and Plotly. Web Scraping & API Integration: Experienced with BeautifulSoup, Selenium, and building/consuming RESTful APIs. I am committed to delivering high-quality work on time and exceeding expectations. Let’s collaborate to bring your Python projects to life!

I am a Python developer with an experience of more than four years. I worked on solving Machine learning problems using both classical ML algorithms and Deep Learning. I also have experience in web development and web scraping.

I'm a Senior Python Developer & Machine Learning Engineer with over 15 years of experience building high-performance, scalable backend systems and deploying production-grade AI solutions. I specialize in: AI Agents using LangChain, OpenAI APIs, and custom tools ML Systems for Computer Vision, OCR, and image enhancement (GANs, segmentation, stylization) Backend Engineering with FastAPI, Django, PostgreSQL, and scalable cloud deployments (AWS, Docker, Kubernetes, Nvidia Triton) From leading startup teams and migrating legacy systems to cloud-native infrastructure, to shipping ML services used in real-world products — I deliver end-to-end solutions that are robust, maintainable, and scalable. 🧠 Technical Focus Languages & Frameworks: Python, FastAPI, Django, Scrapy, Flask AI/ML: PyTorch, TensorFlow, OpenCV, LangChain, OpenAI, Numpy, Scikit-learn DevOps & Cloud: AWS, Docker, Ansible, Kubernetes, Redis, RabbitMQ, Nvidia Triton Databases: PostgreSQL, MySQL, MongoDB, FAISS, Milvus Frontend (as needed): React, HTMX, JS, jQuery 💼 What You Can Expect ✅ Clean, production-grade code ✅ Scalable architecture with CI/CD and cloud-native design ✅ Deep understanding of both traditional backend and cutting-edge AI systems ✅ Strong communication and fast iterations Let’s build something powerful — whether you're launching a new AI product or scaling an existing system.

I help businesses turn messy data into clear reports and dashboards. If you have messy Excel or CSV files, data that needs cleaning or automation, reports that take too much time manually I can help you. What I do best: Clean and organize Excel / CSV data, Automate reports with Python, Create clear dashboards (Excel / Tableau). Analyze data and explain results in simple language. I work with Python, SQL, Excel, and Tableau daily. I have a PhD and strong experience working with complex data, so I am very careful with details and accuracy. Even though my Upwork profile is new, I am reliable, responsive, and focused on delivering exactly what you need. Message me and tell me about your data problem — I will suggest a clear solution.

I am a software engineer with strong mathematical background and professional experience since 2009. My expertise lies in developing advanced C++ and Python applications, particularly in the fields of machine learning, computer vision, data science, and mathematical optimization. What I Offer: * scientific(mathematical) research of your problem * technologies & market review * software design & development * online consultations * ability to work solo and as a part of a team * experience to manage small R&D teams * flexibility in project management techniques and communication approaches Solving difficult and non-standard problems via custom software development is what I like to do. Usually I deeply analyse a problem with respect to customer's needs and strive to propose solutions tailored to customer's specific context. At the same time, I understand the difference between must-haves and nice-to-haves and my primary goal is to satisfy basic requirements first like to fit into time schedule and budget and to reach minimal quality requirements. Details on the fields of my expertise: 1. Computer Vision: * image filtering and enhancing * localization and counting of objects in images * semantic/instance/panoptic segmentation of objects in images * anomaly detection in images * optical character recognition * object tracking/re-identification in video * novelty detection in video * camera calibration, bundle adjustment * 3D object reconstruction * structure from motion, SLAM * sensors fusion, trajectory smoothing Technologies: OpenCV, dlib, OpenMVS, OpenMVG, numpy, scipy, pandas, scikit-learn, scikit-image, TensorFlow, keras, PyTorch, HuggingFace 2. Machine Learning & Data Science: Below are the fields where I applied machine learning(including deep learning) and/or data science techniques: * computer vision * image/video processing * recommendation systems * NLP (limited experience) * trading (limited experience) As a ML-developer, I can characterize myself as: * familiar with neural networks, SVM, decision trees, ensemble learning, genetic algorithms and understanding the math behind them; * ready to apply statistical approaches and mathematical optimization techniques; * knowing pros and cons of manual feature engineering; * comprehending how size of dataset, complexity of model and quality of initial approximation affect result and amount of resources consumed by training procedure; * realizing significance of data augmentation techniques and always pedantic about selecting them for a given problem; * understanding the weaknesses of the backpropagation/gradient descent approach and how they impact deep learning architectures and the design of deep learning optimization algorithms; * widely using transfer learning, fine tuning, knowledge distillation and model quantization techniques; * aware of the data domain shift threat and doing everything possible to minimize its effects. Technologies: PyTorch, keras, TensorFlow, HuggingFace, scikit-learn, scipy, numpy, pandas. 3. Backend Development: I have solid experience in development of robust, efficient, and scalable backend systems in Python. Usually, I'm focused on designing and implementing a micro service architecture which supports high load computational tasks managed with the help of RESTful HTTP(S) or WS API. Technologies: docker, MySQL, PostgreSQL, SQLite, SQLAlchemy, MongoDB, redis, RabbitMQ, celery, FastAPI, tornado, flask, ELK. 4. Data structures and algorithms: * Designing data structures and algorithms with respect to problem statement, computational complexity, numerical precision, and hardware type. * Parallel computations. * Concurrent computations. * Distributed computations. * Micro services architecture for computational purposes. Technologies: C++ multithreading, OpenMP, MPI, Python multiprocessing, Python multithreading. 5. Numeric and Probabilistic Models, Mathematical Optimization: I have strong mathematical background and a Master degree in Applied Mathematics and Computer Science. That means I understand and can use the following fields of maths in my R&D: * analysis * linear algebra * graphs * probability and statistics * numerical methods * mathematical optimization methods Reasoning based on this fields may help to translate a business request into a solvable mathematical problem and to suggest some non-standard shortcuts to standard problems under specific conditions. If you have any scientific paper or thesis with mathematical models and want to reproduce its results, I can surely help you with that. Technologies: Jupyter notebook, numpy, scipy, pandas, PyTorch, gurobi, PuLP, eigen, CGAL, GSL, alglib, boost, ceres-solver etc. --------------------------------------------------------------------------- If you have any challenging problem related to my fields of expertise, please do not hesitate to contact me directly here. I will reply you shortly and try to suggest the most efficient way to handle it.