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Author

Sagar Srinivas Sakhinana

Observed name: Sakhinana, Sagar Srinivas
Observed institution: Tata Consultancy Services (India)
OpenAlex ID: A5093286137
Agentic Retrieval-Augmented Generation for Time Series Analysis
2024 · Ravuru, Chidaksh, Sakhinana, Sagar Srinivas, et al. · arXiv (Cornell University) · 6
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Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis
2024 · Sagar Srinivas Sakhinana, Geethan Sannidhi, et al. · Proceedings of the AAAI Symposium Series · 3
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Knowledge Graph Modeling-Driven Large Language Model Operating System (LLM OS) for Task Automation in Process Engineering Problem-Solving
2024 · Sagar Srinivas Sakhinana, Vijay Sri Vaikunth, et al. · Proceedings of the AAAI Symposium Series · 2
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Retrieval-Augmented Instruction Tuning for Automated Process Engineering Calculations : A Tool-Chaining Problem-Solving Framework with Attributable Reflection
2024 · Sakhinana, Sagar Srinivas, Sannidhi, Geethan, et al. · arXiv (Cornell University) · 1
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Grounded and Faithful P&ID Reasoning: Constraining Vision-Language Models with Recovered Evidence Graphs
2026 · Gadekar, Prathamesh, Sakhinana, Sagar Srinivas, et al. · arXiv (Cornell University)
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Forward-Deployed Full-Stack Engineering for Autonomous Cloud MLOps
2026 · Sakhinana, Sagar Srinivas, Runkana, Venkataramana · arXiv (Cornell University)
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Towards Agentic Cloud Engineering: Graph and Loop Engineering with a Zero-Trust Agent Harness
2026 · Sakhinana, Sagar Srinivas, Runkana, Venkataramana · arXiv (Cornell University)
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Graph, Loop, and Harness Engineering for Zero-Trust Agentic Data Engineering and Analytical Processing
2026 · Sakhinana, Sagar Srinivas, Runkana, Venkataramana · arXiv (Cornell University)
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Accelerating Manufacturing Scale-Up from Material Discovery Using Agentic Web Navigation and Retrieval-Augmented AI for Process Engineering Schematics Design
2025 · Sagar Srinivas Sakhinana, Akash Das, et al. · Qeios
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Advancing Enterprise Spatio-Temporal Forecasting Applications: Data Mining Meets Instruction Tuning of Language Models For Multi-modal Time Series Analysis in Low-Resource Settings
2024 · Sakhinana, Sagar Srinivas, Sannidhi, Geethan, et al. · arXiv (Cornell University)
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Towards Human-Level Understanding of Complex Process Engineering Schematics: A Pedagogical, Introspective Multi-Agent Framework for Open-Domain Question Answering
2024 · Sakhinana, Sagar Srinivas, Sannidhi, Geethan, et al. · arXiv (Cornell University)
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Joint Hypergraph Rewiring and Memory-Augmented Forecasting Techniques in Digital Twin Technology
2024 · Sakhinana, Sagar Srinivas, Aripirala, Krishna Sai Sudhir, et al. · arXiv (Cornell University)
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Multi-Source Knowledge-Based Hybrid Neural Framework for Time Series Representation Learning
2024 · Sakhinana, Sagar Srinivas, Aripirala, Krishna Sai Sudhir, et al. · arXiv (Cornell University)
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Multi-Knowledge Fusion Network for Time Series Representation Learning
2024 · Sakhinana, Sagar Srinivas, Gupta, Shivam, et al. · arXiv (Cornell University)
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Retrieval-Augmented Generation Meets Data-Driven Tabula Rasa Approach for Temporal Knowledge Graph Forecasting
2024 · Sannidhi, Geethan, Sakhinana, Sagar Srinivas, et al. · arXiv (Cornell University)
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PointSAGE: Mesh-independent superresolution approach to fluid flow predictions
2024 · Sarkar, Rajat, Aripirala, Krishna Sai Sudhir, et al. · arXiv (Cornell University)
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Redefining Super-Resolution: Fine-mesh PDE predictions without classical simulations
2023 · Sarkar, Rajat Kumar, Majumdar, Ritam, et al. · arXiv (Cornell University)
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Works count: 17
Citation count: 12
H-index: 2
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