𝗠𝗼𝗿𝗲 𝘁𝗵𝗮𝗻 𝟯𝟱 𝗽𝗼𝘀𝗶𝘁𝗶𝘃𝗲 𝗿𝗲𝘃𝗶𝗲𝘄𝘀, 𝟭𝟬𝟬%+ 𝘀𝘂𝗰𝗰𝗲𝘀𝘀 𝗿𝗮𝘁𝗲
𝗣𝗿𝗼𝘃𝗲𝗻 𝘁𝗿𝗮𝗰𝗸 𝗿𝗲𝗰𝗼𝗿𝗱 𝗼𝗳 𝘀𝘂𝗰𝗰𝗲𝘀𝘀𝗳𝘂𝗹 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀
15+ years of experience in NLP, NLU, NLG
Easy to work with, professional approach
Competitive rates, flexible budgets
Worked with small startups and large companies
References from AI opinion leaders
Unique Data-driven methodology
CONSULTATIONS, DESIGN, DEVELOPMENT OF:
Proof of concept (POC), Prototypes, Demos, Production-ready products, like:
Systems like ChatGPT
Complex AI application for text understanding
Data-rich systems for text processing
Knowledge representation systems
Text generation systems
Sentiment analysis and opinion mining
Text clustering systems
Structure and content analysis
Topic analysis, text complexity, readability level
Prompts engineering
Large-scale language models training
Search / Question-Answering systems
Text / Documents classification apps
Text summarization systems
Text mining and analysis systems
Translation systems
Ontology-based, KB systems
ML models benchmarking, profiling, optimization, TensorBoard
Scientific papers reproduction
SEO keywords analysis and optimization
Documents analysis, smart search
Other? Write me a message right now
Data-rich SaaS applications development with microservice architecture
SDLC best practices,
Continuous integration,
Scrum / Agile powered by:
Technologies:
Programming language: Python 3
Databases: SQL/NoSQL, MongoDB, PostgreSQL, Neo4J
Search engines: ElasticSearch, Sphinx, Apache Nutch, Apache Lucene, Solr, custom (from scratch)
Deep Learning frameworks: Torch / PyTorch, Tensorflow
Restful API with Flask, Django, Django-REST, Nginx, Gunicorn
OS: Linux only; Containers: Kubernetes, Docker
Tools: Numpy, Pandas, Spacy, Gensim, Transformers, NLTK, CoreNLP, Other
OpenAI models: gpt-3.5-turbo and gpt-3.5
Large-scale language models: OpenAI GPT4/ GPT3/ ChatGPT, Bloom, Facebook Llama (any modification), DeBERTa, DistilBert, Google T5, Custom language models from scratch
Deep Learning: Convolutional Neural Network (CNN), Recurrent Neural Networks (RNNs), Long Short-Term Memory Networks (LSTMs), Stacked Auto-Encoders, Deep Boltzmann Machine (DBM), Deep Belief Networks (DBN), Other
Classical algorithms/methods: Linear/Logistic/Stepwise Regression, k-Nearest Neighbor (kNN), Self-Organizing Map (SOM), Locally Weighted Learning (LWL), Support Vector Machines (SVM), Classification and Regression Tree (CART), Chi-squared Automatic Interaction Detection (CHAID), Decision Stump, M5, Conditional Decision Trees, Other
Dimensionality Reduction: Principal Component Analysis (PCA), Principal Component Regression (PCR), Partial Least Squares Regression (PLSR), Other
Cloud computing: Google Cloud, AWS, Microsoft Azure
APIs: AWS Sagemaker, Google NLP, Azure ML
Hardware: CPU, GPU/Multi-GPU, TPU
ML models benchmarking, profiling, optimization, TensorBoard
AI for Medical research: PubMed analysis
ML for Carbon reduction
Other? No problems, just write me a message right now
Special offers for the long-term large projects with the budgets $150k+, ask me to know more.
Apache CloudStack
API
Data Analysis
Process Optimization
Solution Architecture
Google Cloud Platform
Feature Extraction
Artificial Intelligence
Artificial Neural Network
Data Science
Deep Learning
Machine Learning
Software Architecture & Design
Natural Language Processing
