Hire the Best Python Numpy Developers
in Armenia

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!

Welcome. I'm a Python developer with hands-on experience in data analysis. I am currently a senior computer science student and have 4 years of experience developing Python applications for various use cases. My Stack: Data Layer: MySQL and PostgreSQL ORM & Validation: SQLAlchemy and Pydantic Application Layer: FastAPI and Django REST Framework (DRF) Data Operations: Pandas and NumPy for complex calculations CI/CD & Version Control: GitHub and GitHub Actions Additional Skills: Document parsing and data extraction While Python is my primary language, I am also familiar with Java, PHP, JavaScript, and C. On the frontend, I can edit HTML and have basic experience working with React and Bootstrap.

🏆 Expert-Vetted: Top 1% Freelancer - All-inclusive Machine Learning solutions! With over 9 years of experience in software engineering and more than 6 years specializing in AI engineering, I deliver end-to-end software solutions built around Machine Learning, Deep Learning, and Computer Vision. My background ensures efficiency in work, with strong emphasis on quality, which results in reusable and well-structured code. Diversity of portfolio demonstrates my ability to integrate AI solutions into products across many different industries, enhancing their functionality and value. Areas of expertise ✔️ Multi-modal VLLMs ✔️Deep Learning ✔️AI Development/Integration ✔️NLP ✔️Computer Vision ✔️Edge/Cloud computing ✔️End-to-end MVP development ✔️RAGs and Custom Chatbots ✔️Data Analytics ✔️Machine Learning 💼 Portfolio Highlights 🟢 NLP ○ Fine-tuning Open Source LLM: LLaMa-3.1, Qwen2, Qwen2.5, Mistral AI MoE ○ Fine-tuning GPT: Custom Knowledge-bases, Dynamic RAGs ○ Text Classification: Sentiment Analysis, Multiple Labels Classification 🖥️ Computer Vision ○ Clothing Segmentation and Recommendation System. ○ Real time Face Detection and Recognition System. ○ Real time human detection and tracking. ○ Image Similarity search engine. ○ Activity detection and classification from real time video streams. ○ Vehicle License Plate Recognition (OCR). ○ Weapon Detection, Car Detection. 🎶 Audio Models ○ Text-to-Speech and Speech-to-Text. ○ Speech and Music Generation ○ Taste, Music based Recommender systems 📠 MACHINE LEARNING ○ Recommender systems by supervised/unsupervised learning. ○ Anomaly detection system. My experience also expands into edge computing systems for real-time people and action detection using Nvidia Jetson devices. Hands-On Model Experience ✔️ Transformers & Language Models: GPT3.5, GPT4, GPT4o, GPT4o-mini, Gemini ✔️ Object Detection & Tracking: YOLOV5, YOLOV8, YOLOV9, YOLO-NAS, DeepSort, ByteTrack ✔️ Image & Video Processing: MediaPipe, FaceNet, Arcface, SRGAN, 3DGAN, EfficientNet ✔️ Segmentation Models: Segment Anything Model (SAM), Mask-RCNN, DeepLabV3, U-Net ✔️ Generative Models: Pix2Pix, DCGAN, CycleGAN, StyleGANV2, DALL-E, Stable Diffusion, Runway Gen-2 ✔️ Text Recognition: Tesseract, PaddleOCR, Qwen2-VL ✔️ Experience developing Cloud Applications and Tools 🟡 AWS: EC2, SageMaker, ECR, ECS, Opensearch (Elasticsearch), Kinesis, Api Gateway, Lambda, S3, CloudSearch, etc. 🟡 GCP: Cloud Storage, Compute Engine, Vertex AI, Speech to Text, Text to Speech, Vision AI, Firestore, etc. Technical Expertise and Tool Proficiencies ✔️ ML/DL Frameworks: PyTorch, TensorFlow, Keras, FastAI, MxNet ✔️ Data Processing: NumPy, Matplotlib, SciPy, Pandas ✔️ Web Development: Flask, NGINX ✔️ GUI Development: PyQt, Tkinter ✔️ Mobile ML: Torch Mobile ✔️ Programming Languages: C#, Java, Kotlin ✔️ AI Platforms: Hugging Face, OpenAI, LangChain ✔️ Data Indexing: Neo4J, PineCone ✔️ Mobile Platforms: Flutter, Native Android 🏁 Whether you are looking for a custom solution or just need guidance on an existing project, I am always ready to discuss and build on your idea and provide a solution and any suggestion to improve your idea.

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 build AR/VR experiences that are fast, stable, and visually clean. Seven years in the field — prototypes, full products, games, training apps, geospatial tools, you name it. My main strength is development, but I also handle the extra pieces: light 3D fixes, UI/UX design, analytics, builds, integrations, and store publishing. I move quickly, communicate clearly, and solve problems without drama. Skills & experience: - Unity (AR Foundation, Vuforia, OpenXR, Meta, Vision Pro) - AR/VR apps, games, enterprise tools, training systems - Firebase, Mixpanel, - IAP(In-App purchase), Ad mediation (AdMob, IronSource) - Maps, geospatial, VPS/Immersal - Kinect & PC builds - Figma UI → Unity - API, JSON handling - C# programming If you need someone who can jump in, take ownership, and deliver without hand-holding — that’s me.

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.