Bhanu Chandra Pachipala
Ai Software Engineer @Humana
Signup · Get unlimited contacts
WORK HISTORY
Ai Software Engineer @Humana
ME, US
Developed a Next.js clinical dashboard surfacing FHIR-compliant patient vitals and live TensorFlow model predictions for physicians across six outpatient facilities, eliminating fragmented data views and cutting review time by 40%.• Engineered a Python Flask backend wiring GPT-4 and a RAG retrieval pipeline directly to clinical documentation workflows, giving physicians a conversational search interface and cutting data retrieval time by 44%.• Designed a React.js accessibility portal backed by LangChain agents for personalized care navigation and health resource retrieval, giving mobility-restricted patients a self-service care path and reducing support calls by 30%.• Replaced failing keyword-based patient portal search by deploying a FastAPI microservice on AWS that leveraged OpenAI text-embedding for semantic query matching, improving member record relevance by 48% across all modules.• Automated HIPAA-compliant patient risk scoring by developing Node.js middleware that delivered real-time PyTorch model prediction outputs directly to clinical care dashboards, freeing 35% of triage processing time for nursing staff.• Eliminated siloed population health data by connecting AWS SageMaker inference endpoints to Node.js services and streaming real-time prediction outputs into GCP BigQuery and Looker Studio across 12 regional care programs.
EDUCATION
Lovely Professional University
Bachelor of Engineering - BE, Computer Programming, Specific Applications
Northeastern University
Master of Science - MS, Computer Science
ABOUT BHANU CHANDRA PACHIPALA
About MeSoftware Engineer with 3+ years of experience designing and deploying scalable, high-performance applications across healthcare and enterprise domains. Specialized in building AI/ML-driven systems, with a strong focus on integrating large language models, retrieval-augmented generation (RAG), and cloud-native architectures into production environments. Professional Expertise Development of end-to-end AI/ML pipelines using TensorFlow, PyTorch, and OpenAI GPT models Design and implementation of RAG systems, LangChain agents, and semantic search solutions Full-stack engineering with React, Next.js, Flask, and FastAPI Microservices architecture and distributed systems development Cloud deployment and infrastructure management across AWS, Azure, and Google Cloud Strong foundation in system design, API development, and scalable backend engineering Key Achievements Improved data retrieval efficiency by 40%+ through AI-powered solutions Enhanced search relevance by nearly 50% using embedding-based semantic search Built and deployed systems processing high-volume real-time data with low latency Optimized enterprise applications to support thousands of concurrent users Delivered measurable impact in healthcare workflows and financial systems Professional FocusCommitted to building intelligent, scalable, and reliable software systems that drive real-world impact. Particularly interested in advancing applications in AI, healthcare technology, and distributed systems. Contact b••••••@techjobmail.com (20••••••31🤝 Let’s ConnectOpen to opportunities, collaborations, and discussions in:• Software Engineering• Artificial Intelligence & Machine Learning• Scalable System DesignFeel free to connect or reach out to discuss potential opportunities.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.