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AI Engineer & Researcher building intelligent systems at the intersection of machine learning, explainability, and enterprise software.
I'm a Senior Applications Developer at Oracle and AI researcher with a B.Tech in Artificial Intelligence from IIT Hyderabad. My work spans enterprise software, machine learning research, and production AI systems.
I specialize in Explainable AI, LLMs & Generative AI, and bridging cutting-edge research with real-world deployment. My first-authored paper on SHAP-based XAI has garnered 110+ citations.
When I'm not building LLM-powered enterprise workflows at Oracle, I'm exploring agentic AI, multi-agent orchestration, and cloud-native architectures.
// sai_ram_aditya.profile
const me = {
role: "Senior Applications Developer",
company: "Oracle",
education: "B.Tech AI · IIT Hyderabad",
expertise: [
"Explainable AI",
"LLMs / GenAI",
"Agentic Systems",
"Cloud Architecture",
],
location: "Hyderabad, India",
openToWork: true,
};
Oracle · Hyderabad, India
ABB GISPL · Hyderabad, India
Multi-agent RAG system with CrewAI orchestration — intent classification → paper fetching/ingestion → RAG answering. End-to-end automation that searches, downloads, extracts, embeds, and indexes research papers on demand.
Conversational interface for Oracle enterprise APIs — natural-language interaction with business objects via intent extraction and confirmation-gated write operations.
Physics-informed ML system modeling transformer power-output dynamics using SINDy, with SHAP explainability and LSTM-based long-term stress forecasting across EV fleet scenarios.
International Journal of Data Science and Analytics · 2024
View on Google Scholar ↗ICPEEV · 2023
View on Google Scholar ↗CICBA · 2023
View on Google Scholar ↗Google Cloud
Deploying, managing, and securing applications on Google Cloud with focus on automation, security, and AI/ML integration.
Oracle
Specialized in LLMs, embeddings, prompt engineering, and responsible AI practices for enterprise applications.
Indian Institute of Technology, Hyderabad
July 2019 — May 2023 · GPA: 8.33 / 10
Open to new opportunities, collaborations, and interesting conversations about AI.