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RitvikN18/README.md

Hello 👋! I am Ritvik Nimmagadda. I'm currently working as an AI Software Engineer Intern at The Cigna Group

I'm a passionate computer scientist with a diverse background in various cutting-edge technologies. Here's a glimpse into my journey:

🎓 Education:

  • Master of Science in Computer Science from the University of Southern California
  • Bachelor of Technology in Computer Science and Engineering from the International Institute of Information Technology

🚀 Experience:

🩺 Cigna AI Software Engineer:

  • Spearheaded the development of a system that autonomously extracts key insights from daily reports provided by investment banking companies and answers questions from those reports, resulting in an anticipated cost savings of over $200k annually.
  • Implemented RAG (Retrieval Augmented Generation), using Redis vector DB for similarity search and integrating Langchain's OpenAI wrapper operating GPT4 LLM to boost natural language understanding, contributing to ~30% reduction in manual effort.
  • Developed robust backend Flask API, ensuring seamless communication between the front-end and the underlying AI engine.

🌐 UCLA Research Intern:

  • Developed an algorithm for forecasting forest fire containment resource needs.
  • Engineered an interactive web app using React and Flask.
  • Pioneered NLP solutions for medical data analysis.

📊 Tiger Analytics Data Science Intern:

  • Designed data pipelines using Apache Airflow, Python, and MySQL.
  • Implemented an ML-based recommendation engine for work order assignments.
  • Leveraged Docker and Azure for ML model deployment.

🤖 Omdena Junior Machine Learning Engineer:

  • Worked on symbol localization and detection for PID engineering drawings.
  • Led a non-profit project analyzing the socio-economic impact of COVID-19 in India using AI.

🤖 Ontario Tech University AI Research Intern:

  • Built machine learning models for Audio-Based Emotion Recognition.
  • Developed a real-time web application for emotion detection.
  • Published research in 'The Journal of Supercomputing'.

🧠 Undergraduate Researcher:

  • Improved deep learning models for License Plate Corner Point Detection.
  • Presented research paper at an international conference.

🌟 My passion lies in the intersection of technology and real-world problem-solving. Let's connect and explore the future of innovation together! 💬🚀

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