Sangramsing Kayte is a computational linguist and data scientist with over a decade of AI experience and eight years in industry, blending deep research (PhD + postdoc) with production ML for NLP, speech, and computer vision. He leads and delivers end-to-end solutions—speech-to-speech translation, diarization, voice-activated coaching, and automated EU tender classification—using frameworks from Kaldi and SpeechBrain to TensorFlow and PyTorch. At the European Commission he applies multilingual speech translation to legal and policy texts, reflecting rare expertise at the intersection of language technologies and public-sector impact. He has a track record of high-accuracy research systems (e.g., LSTM text generation and CPV classification, diabetic retinopathy detection) and has been awarded national and international fellowships and grants. Comfortable across cloud deployment (AWS, GCP, Azure, Docker, Kubernetes) and production tooling (Airflow, Kafka, Elasticsearch), he uniquely combines academic rigor with pragmatic engineering. His work philosophy—simplicity, passion and creativity—drives practical, privacy-aware speech and language solutions for multilingual real-world settings.
8 years of coding experience
10 years of employment as a software developer
Bachelor of Science, Computer Science, Percentage 67.55 %, Bachelor of Science, Computer Science, Percentage 67.55 % at Yeshwantrao Chavan College of Arts, Commerce & Science, Sillod Dist. Aurangabad.
Postdoc, Computer and Information Sciences and Support Services, Postdoc, Computer and Information Sciences and Support Services at Syddansk Universitet - University of Southern Denmark
Master's degree, Information Technology, 7.10 GPA, Master's degree, Information Technology, 7.10 GPA at Dr. Babasaheb Ambedkar Marathwada University, Aurangabad
Punjabi, Gujarati, Telugu, Rajasthani, Marathi, Hindi, English
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Sangramsing Kayte - Data Scientist ( Computational Linguist)