Preetham M
AI/ML Engineer | AI Enthusiast | CSU-Alumni | LLMs, NLP, GenAI, Python, SQL, AWS, Azure, TensorFlow, PyTorch, Databricks, RAG | Open to Relocation
- Role
- Ai Software Engineer at Optum
- Location
- Jersey City, NJ, US
- LinkedIn followers
- 500 followers
Experience
Ai Software Engineer
Jan 2023 — Present · NJ, US
Transformed static FAQ systems into dynamic AI-powered responses by leveraging Generative AI (GenAI) capabilities, enabling real-time, contextual answers.•Implemented Azure OpenAI models to enhance natural language understanding (NLU), allowing the system to generate human-like responses instead of relying on pre-defined answers.• Integrated AI-powered search and retrieval mechanisms using Azure AI Search and Cosmos DB, ensuring quick and accurate responses based on user queries.• Developed and deployed machine learning models that dynamically interpret, analyze, and generate responses, reducing manual intervention and improving customer engagement.• Seamlessly integrated AI solutions with Nuance MIX Cloud and enterprise IT infrastructure, enabling voice-based and text-based automated responses.• Continuously optimized AI models through performance monitoring and feedback loops, improving accuracy, relevance, and efficiency of dynamic FAQ responses.• Developed and implemented models using OpenAI’s ChatGPT API, leveraging prompt engineering and fine-tuning techniques to enhance AI-powered responses.• Integrated RAG techniques to improve model retrieval performance, ensuring highly accurate and context-aware AI-generated responses.Developed and deployed an AI-powered chatbot and AI agent for ID card verification using Microsoft Copilot Studio, enabling automated and secure identity validation.Integrated natural language processing (NLP) capabilities to verify ID details, ensuring accuracy, compliance, and fraud prevention.Seamlessly connected the AI agent with enterprise databases and authentication systems, enhancing user experience, efficiency, and security in the verification process.Led and mentored a team of AI engineers, providing technical guidance, code reviews, and best practices to maintain high-quality deliverables.Implemented embedding models for vector-based data storage and efficient information retrieval, optimizing LLM processing.
Education
Cleveland State University
Master's degree
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