Charan Reddy
AI Engineer
Secunderabad
AI Engineer at Enaiblr.ai with hands-on experience building production-ready AI solutions across healthcare, enterprise automation, and strategic intelligence. I specialize in Generative AI, multi-agent architectures, LLM applications, prompt engineering, and backend development using Python, FastAPI, and Flask. My experience includes developing conversational AI agents, healthcare data integration systems, clinical documentation solutions, automated workflows, and AI-powered applications. I also work on LLM evaluation, AI red teaming, prompt injection testing, and secure system design to improve the reliability and safety of AI applications. I enjoy exploring emerging AI technologies, building scalable solutions, and turning complex business problems into practical, intelligent applications. I am passionate about continuous learning, innovation, and developing AI systems that deliver measurable real-world impact.
Ai engineer
Enaiblr.ai
- - Developed scalable backend APIs using Python, Flask, and FastAPI for healthcare applications and enterprise automation systems.
- - Worked on healthcare data integration, patient data fragmentation, and secure data exchange workflows.
- - Supported application deployments, environment configuration, and identity and access management integration.
- - Developed AI-powered conversational voice agents for automated surveys, employee onboarding, and benefits eligibility data collection.
- - Integrated conversational AI and telephony services with backend APIs and automated workflows.
- - Built dashboards, reporting features, and analytics for tracking calls, survey responses, and operational performance.
- - Fine-tuned machine learning models using clinical datasets to improve diagnostic accuracy in healthcare AI systems.
- - Developed multi-agent AI systems, retrieval-augmented generation workflows, and prompt engineering pipelines.
- - Built AI-powered healthcare documentation tools and automated the conversion of clinical transcripts into structured medical notes.
- - Developed enterprise automation solutions for invoice processing, document classification, and business workflow management.
- - Implemented secure authentication, API integrations, data validation, and database optimization to improve system reliability and performance.
- - Conducted AI research, LLM evaluation, and red-team testing to identify hallucinations, prompt injection risks, and system vulnerabilities.
Bachelor of Technology (B.Tech. Honors)
Malla Reddy College of Engineering and Technology · 8.73
Attendee · Oct 24, 2026