Ranjith Jagadish — CTO

With 8+ years of experience as an AI/ML Tech Lead, I specialize in designing and implementing Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) solutions, collaborating closely with global clients to transform vast data landscapes into high-impact, real-world applications. Skilled in multimodal RAG for complex data ingestion, I’ve developed tailored AI systems that handle diverse data sources, including knowledge bases, multi-terabyte video datasets, and client-specific document retrieval solutions. #GenAI #LLM #RAG #MultimodalAI Proficient in trending vector databases like GCP’s Vertex AI Vector Search, Pinecone, FAISS, and ChromaDB, I build high-speed, accurate retrieval systems optimized for real-time performance. My recent work includes RAG-based question-answering systems in the Banking and Financial Services sector, integrating Azure Form Recognizer and OpenAI API for advanced, contextually relevant document retrieval. #VertexAI #VectorDB #FAISS #Pinecone In the Autonomous Driving domain, I’ve partnered with industry leaders like Mercedes, Ford, Benz Daimler, Toyota, and Bosch, driving AI innovations in object detection, tracking, and defect analysis through CNNs, GANs, and Kalman Filters. My solutions enhance object detection and multi-object tracking, pushing the boundaries of safety and autonomy in automotive technology. #AutonomousDriving #ComputerVision #CNN #GAN #KalmanFilter My expertise also spans cloud deployments on GCP and Azure, including MLOps practices that ensure scalable, production-ready AI models. #CloudAI #GCP #Azure #MLOps Core Competencies: Advanced RAG and Vector Database Management: Design and optimize RAG architectures using GCP’s Vertex AI, FAISS, and other trending vector databases tailored for client-specific use cases in multimodal data. Computer Vision for Autonomous Systems: Experienced in building high-precision, resilient solutions for object detection, tracking, and defect identification, driving critical advances in autonomous driving. Generative AI Applications: Expertise in deploying GenAI and LLM models for enhanced document retrieval, data ingestion, and client-driven applications across sectors. I am committed to leveraging the latest in AI to drive innovation and automation across high-stakes industries. Ready to engage in collaborations that push the limits of AI for transformative outcomes. #Innovation #Automation #AITransformation

Stackforce AI infers this person is a leader in AI/ML solutions for enterprise applications and cloud-based architectures.

Location: Dubai, United Arab Emirates

Experience: 8 yrs 9 mos