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🤖 Hi, I'm Sovik - AI Software Engineer

I specialize in developing cutting-edge AI solutions, leveraging my expertise to design and implement intelligent software systems that solve complex problems and drive innovation in various domains.

💻 Skills

  • Languages Python/Java
  • Embedded C/C++
  • Ecosystems Pytorch/Tensorflow
  • Image Processing OpenCV
  • ROS (Robot Operating System)

💻 Languages & Tools

Python Badge C Badge C++ Badge Shell Script Markdown ROS Badge Git Badge Jira Badge Ubuntu Pytorch Ubuntu

📫 How to Reach Me

LinkedIn Profile Gmail

GitHub Stats
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Sovik Ghosh's Projects

applied-ml icon applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

gymjam-ai-assistant-using-mediapipe icon gymjam-ai-assistant-using-mediapipe

GymJam is an innovative AI gym assistant designed to revolutionize the fitness experience. Utilizing cutting-edge artificial intelligence technology, GymJam offers personalized guidance and support to users during their workouts.

heartguard icon heartguard

Utilizing ECG and PPG sensors, our Qt5 frontend application provides real-time monitoring of heart rate and SpO2 levels. The sensors capture physiological data, which is processed using signal analysis algorithms to extract vital information.

llm-rag icon llm-rag

Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models

movera-movie-recommendation-using-rasa icon movera-movie-recommendation-using-rasa

The movie recommendation chatbot built with Rasa is an intelligent conversational agent designed to assist users in discovering movies tailored to their preferences and interests.

nemo icon nemo

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

protien-primary-to-secondary-using-fcnn icon protien-primary-to-secondary-using-fcnn

The transition from primary to secondary protein structure involves the folding of linear amino acid sequences (primary structure) into regular patterns like alpha-helices and beta-sheets (secondary structure). Deep learning-based prediction algorithms leverage neural network architectures to infer these patterns from primary sequence data.

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