Data Engineer | AWS | GCP | Kafka | Spark | Databricks Certified

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Stop switching tabs and breaking your focus every time you encounter a new word. VocabKit transforms any webpage into an interactive language lesson, allowing you to learn vocabulary naturally and effectively—whether you're browsing Netflix, reading PDFs, viewing images, or exploring online content. 🌍 40 Languages, 1,560 Translation Pairs Spanish, French, German, Japanese, Korean, Chinese (Simplified &amp; Traditional), Arabic, Portuguese, Italian, Russian, Hindi, Turkish, Vietnamese, Thai, Dutch, Polish, Swedish, Indonesian, Greek, Hebrew, Czech, Danish, Finnish, Hungarian, Norwegian, Romanian, Ukrainian, Bengali, Tagalog, Malay, Persian, Swahili, and more! Translate text with a single click, save words to your personal library, and export them to Anki or CSV. It's the seamless integration into your browsing experience you've been waiting for. ✨ Key Features ⚡ Instant Translation on Any Page (Alt+T) • Simply select a word or phrase to get a clean, context-rich translation without ever leaving the page. Works on any website, article, or document. 🎯 OCR Translation for Images &amp; Videos (Alt+O) Translate text from ANY image, video frame, or hardcoded subtitle. Perfect for: • Netflix and streaming shows with burned-in subtitles • YouTube videos without captions • Screenshots, memes, and social media images • Scanned documents and PDFs 🧠 Deeper Contextual Learning • Go beyond definitions. Understand a word's part-of-speech, see real-world example sentences, and grasp nuances instantly. 📚 Smart Vocabulary Builder • Save new words to your personal library with one click. Review and manage your vocabulary directly from the extension with cloud sync across all your devices. ✍️ Personal Notes &amp; Mnemonics • Enhance your memory by adding custom notes to the words you save. Make the vocabulary truly your own. 📤 One-Click Anki Export • Seamlessly integrate with your study routine. Export your vocabulary as APKG (direct Anki import) or CSV for other Spaced Repetition Systems (SRS). 🗣️ Clear Pronunciation • Listen to text-to-speech audio for both the original word and its translation to perfect your accent. 📺 Netflix &amp; YouTube Learning • Transform your binge sessions into language learning opportunities. Translate words from subtitles on YouTube, Netflix, Disney+, and other streaming platforms. Use OCR mode for shows with hardcoded subtitles. 🖼️ PDF &amp; Image Support • Expand your vocabulary even when reading PDFs or viewing images online. Our OCR technology extracts and translates text from any visual content. ⌨️ Keyboard Shortcuts Alt+T — Translate selected text instantly Alt+O — OCR mode for images, videos, and screenshots Alt+L — Open your vocabulary list 🚀 How It Works in 3 Simple Steps 1️⃣ SELECT: Highlight any word or phrase on a website 2️⃣ TRANSLATE: Press Alt+T or click the VocabKit icon for a detailed translation 3️⃣ LEARN: Save the word to your vocabulary list for future review and Anki export 💰 Pricing • FREE — 30 translations per day, vocabulary saving, cloud sync • PREMIUM (€6.99/month) — Unlimited translations, unlimited OCR, advanced features, priority support • ✓ 7-day free trial available for Premium ✅ Perfect For... • Language learners wanting to immerse themselves in authentic content • Netflix &amp; YouTube viewers learning through entertainment • Students and researchers reading papers in a foreign language • Professionals working with international documents and websites • Anki users who want to build vocabulary from real-world content • Anyone curious about the world and eager to learn new words 🛡️ Privacy and Trust, Prioritized VocabKit respects your privacy: • NO browsing history tracking — activation only upon your selection • Your personal vocabulary list remains secure, private, and never sold • Minimal, essential permissions requested only • GDPR compliant Read our full Privacy Policy: <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="https://vocabkit.web.app/privacy">https://vocabkit.web.app/privacy</a> 🎯 Ready to Revolutionize Your Language Learning? Click "Add to Chrome" now and start building your vocabulary today—completely free to start! Questions? Contact us at <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="mailto:support@vocabkit.app">support@vocabkit.app</a>

Vocabkit

The goal is to build a classifier capable of learning and making predictions in a data-stream.

Batch Incremental Ensemble Classifier

Getting automatic values from clients into hdfs. Implemented machine learning algorithms. (recommendation engine, association rule and search relevance) Visualization of data. Monitoring ongoing spark jobs to detect bottlenecks. Technical Environment:  Python, Hadoop, Spark, Spark ML, Sqoop

Big data platform for Magento sites.

This adaptive Hoeffding Tree uses ADWIN to monitor performance of * branches on the tree and to replace them with new branches when their * accuracy decreases if the new branches are more accurate in a data stream. Details: Adaptive Learning from Evolving Data Streams. Albert Bifet, Ricard Gavaldà. IDA 2009

Hoeffding Adaptive Tree

Implementation of the Streaming Half--Space--Trees (HS--Trees) [1]_, a fast one-class anomaly detector for evolving data streams. It requires only normal data for training and works well when anomalous data are rare. [1] S.C.Tan, K.M.Ting, and T.F.Liu, “Fast anomaly detection for streaming data,” in IJCAI Proceedings - International Joint Conference on Artificial Intelligence, 2011, vol. 22, no. 1, pp. 1511–1516. The model features an ensemble of random HS--Trees, and the tree structure is constructed without any data. This makes the method highly efficient because it requires no model restructuring when adapting to evolving data streams.

Implementation of the Streaming Half--Space--

Network Analysis of Jazz Musicians

Sentiment analysis of the tweets on a topic, categorizing them as positive or negative. Visualize data to better understand working environment. Technical Environment: Python, ElasticSearch, Kibana, Logstash