Veneel K. is an accomplished AI/ML-focused Software Engineer with extensive experience in building backend services and AI features, including REST APIs, microservices, GenAI applications, and RAG pipelines using LLMs and vector databases. He demonstrates proficiency in Python, FastAPI, and AWS/Azure cloud platforms, which he has leveraged in roles such as an AI/ML Engineer during a project-based internship at Rooman Technologies. His work there involved developing a high-accuracy Heart Disease Prediction model using Random Forest and Gradient Boosting. As a professional, Veneel has engineered complex data processing solutions like the Agentic Data Pipeline Reliability Platform, utilizing Docker for scalable backend service deployment. Additionally, he has crafted a RAG-based Knowledge Assistant integrating HuggingFace embeddings for precise context retrieval. An author in his field, Veneel published research on Alzheimer's diagnosis using deep learning, achieving significant accuracy benchmarks. He holds a B.E. in AI & Data Science from KSSEM, Bangalore, and is Microsoft Azure AI-900 certified.
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