📍 Location: Arizona, USA
📧 Email: [email protected]
🔗 LinkedIn: vsatyamurali
👨💻 GitHub: vsatyamurali
📞 Contact: +1520-283-5536
I’m an Applied Full-Stack AI/ML Engineer with 4+ years of experience designing and deploying production-grade AI systems. My work spans Generative AI, Agentic Application Flow Development, Machine Learning, and Scalable Data Engineering.
I’m passionate about building modular microservices, leveraging LLMs with RAG pipelines, and researching bias quantification, explainability, and ethical AI adoption to make intelligent systems both reliable and trustworthy.
- DCC - Research Assistant - Univeristy of Arizona (May 2025 - current)
- Data Scientist - Capital Group(via Abzooba Info Tech) (May 2021 - July 2024)
- Software Developer - LAR (Stealth Startup) (Aug 2020 - Jan 2021)
- Software Developer Intern - Chamber of Products, Lagaland LLP (May 2020 - Jul 2021)
- Languages: Python, C++, Dart
- Databases: SQL, MongoDB, Firebase, Vector Databases (Chroma, Azure Search Services)
- Data Science: PyTorch, Hugging Face, Transformers,Scikit-learn, Keras, NLP, Deep Learning
- Generative AI: RAG Pipelines, Prompt Engineering, Agentic AI Workflows, Langchain, Streamlit
- Cloud Platforms: Google Cloud Platform, Azure, AWS (basic knowledge)
- Misc & Tools: Docker, Git, BigQuery, Postman, Selenium
- Specialties: Agentic AI Workflows, Large Language Models, Generative AI, NLP, Web Development, API Development, Dashboarding
- Masters in Information Sciences Specilization in Machine Learning, University of Arizona (2023-2025)
- B.Tech in Computer Science and Engineering, IIT Bhubaneswar (2017-2021)
- Microsoft Azure Certified: Associate Data Scientist
- Databricks Accredited: Generative AI Fundamentals
- Coursera: Ethics of AI
Working on developing a metric to assess bias and social intelligence in large language models.