Kashinath Jada — AI Researcher

My journey from an inquisitive B.Tech student in Artificial Intelligence to a practical AI and Healthcare Data Engineer has been driven by a passion for applying scalable, intelligent data solutions to real-world challenges. With a solid foundation in production-grade AI engineering, I specialize in designing and implementing high-throughput data pipelines using Azure Databricks, PySpark, and cloud-native services. Most recently, I served as a Healthcare AI Engineer at Reventics, where I designed and deployed production-ready ETL/ELT workflows to process large-scale BCBS member and policy datasets. My work involved optimizing compute-intensive workloads using GPU acceleration (CUDA/PyCUDA) and ensuring rigorous HIPAA/HITECH compliance for secure data exchange. I also collaborated on operationalizing ML and Generative AI pipelines to support future RAG-based inference workflows. Beyond engineering, I am deeply committed to AI literacy. As a freelancer, I have mentored school and college students, teaching them to bridge the gap between real-world problems and AI solutions through prompt engineering and creative execution. I previously applied my skills as an AI Engineer at BIMDIGITAL and served as a Student Ambassador for Corizo. Key Technical Highlights: ● Generative AI & LLMs: Currently building an Intelligent Invoice Automation Platform using Azure OpenAI and RAG pipelines on Databricks. ●Research & Innovation: Published research on drone-based hyperspectral imaging using DenseNet-201 for early disease detection in rice crops, indexed in IRJMETS. ●Cloud & DevOps: Proficient in AWS and Azure ecosystems, including SageMaker, Lambda, Data Factory, and CI/CD for production ML via MLflow. Certifications: Microsoft Certified: Azure AI Engineer Associate and Oracle Cloud Infrastructure AI Foundations. I thrive at the intersection of cloud architecture, data engineering, and artificial intelligence. Whether it is building a modular Python system like AgentDoc or developing computer vision models for demographic analysis, I am focused on creating space for human creativity through smart automation. If you are looking for any AI /ML engineer who can both build the "engine room" and lead the conversation on AI Fluency, let’s connect.

Stackforce AI infers this person is a Healthcare AI Engineer with expertise in data engineering and cloud solutions.

Location: Hyderabad, Telangana, India

Experience: 1 yr 2 mos