Hire a Freelance NLP (Natural Language Processing) Developer

Embedded Systems Engineer and Certified Tensorflow Developer with a strong technical/coding background, including C, C++, Java, Python and Assembly. Additionally skilled back-end development based on Spring/Django Framework, and Machine Learning with Tensorflow and Pytorch.

A versatile, eager to learn, dependable and all-rounded Full Stack engineer with years specialized experiences in: 15+ years Strong Linux Background on many distributions, such as Ubuntu, CentOS, OpenSUSE, etc. Agile Software Development and Operation Automation with Java/BASH/Ruby/Python frameworks. Proficiency in PHP, JQuery, JavaScript and AngularJS. DevOps on daily basis with Vagrant, IaaS, Chef, Ansible, Jenkins, Git, Docker. Cloud Computing: AWS EC2/S3/Route 53, OpenStack/Opennebula Deployments, Kubernetes. Practical experiences on VOIP encoding and Video streaming formats. Hand-on experiences on Big Data: Elasticsearch, Logstash, Kibana, Kafka. Experience with the processes of software testing: Unit, I&V, User Acceptance, Regression. Profound knowledge of Open Source projects. Experience programming with C, Ruby, Java, Python, PERL, SHELL, Javascript, Golang, and Scala. Experience with automation deployment tools, such as Ansible, Puppet and Chef. Experience with system monitoring solutions, such as Datadog, Nagios, Zabbix, Big Brother.

I'm a dedicated full-time mentor, consultant and Lead software developer with a track record of over 1000+ sessions since 2016. Having 8 years of programming experience in Python, java, GoLang, AWS, MongoDb, ElasticSearch, telethon and many more technologies. I'm passionate about problem-solving and navigating intricate code bases. I love working with: ⭐ Python ⭐ Java ⭐ Spring ⭐ NodeJS ⭐ AWS ⭐ SQL ⭐ MongoDB ⭐ ElasticSearch ⭐ React ⭐ GoLang WHAT SEPARATES ME FROM OTHERS? * Strong and clear communication * Availability at all times Achievements: * 1000+ Sessions

Data Scientist with 5 years of experience in Data Analysis and Machine Learning in Retail, Telecom, and Social media industry. Proficient in unsupervised learning, data processing, and natural language processing with strengths in Python and Big Data. Capable of developing, testing, and deploying analytical solutions.

Results-driven data scientist with a unique blend of expertise in competitive programming, optimization, algorithms, and data structures. With over a decade of experience, I excel in leveraging core programming languages and machine learning frameworks to solve complex problems. My passion lies in data acquisition, preprocessing, cleaning, visualization, feature engineering, and post-processing, enabling me to deliver exceptional insights and actionable solutions. Experience: • Developed and deployed a customer conversion rate prediction model using scikit-learn, employing optimization algorithms for efficient and accurate results. • Implemented an AWS-based natural language processing pipeline for sentiment analysis using PyTorch, optimizing performance by leveraging advanced data structures. • Developed a recurrent deep learning model using TensorFlow and Matlab Neural Network Toolbox to detect sleep patterns from EEG/ECG data. • Built a heart rate monitoring system using PyTorch and Android Studio, leveraging various data structures for efficient data processing. • Developed a life insurance classification model using transformers from Huggingface, enhancing the model's accuracy and efficiency. • Created a predictive model for license plate detection using TensorFlow. Services: • Data Acquisition: Skilled in efficiently collecting data from physical devices, databases, and web sources, employing optimized algorithms and data structures. • Data Cleaning and Preprocessing: Proficient in applying advanced techniques to clean, preprocess, visualize, and engineer features, ensuring high-quality data for analysis. • ML/DL Models: Experienced in developing robust models for classification, clustering, and regression. • Deployment: Well-versed in deploying products to AWS using efficient workflows with Git, Jira, and Jenkins, optimizing the deployment process for seamless integration. • Natural Language Processing: Extensive experience working with large language models based on transformers.