About
10+ Years of cumulative experience in Engineering, HPC Research, Product Management…
Experience
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Education
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Manipal University
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Activities and Societies: Scored 10/10 GPA Fina year Master thesis.
M.tech- Control system
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Activities and Societies: Project - Operation theater automation and control
B.E.BiomedicalEngineering
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Publications
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Scrutiny of IGBT under Ordeal test Condition
IJIREEICE
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Desgin and Automation of IGBT Test Fixture
IJSER
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Projects
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Real Time data acquizition system for IGBT Evaluation
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Hearing Aid Device
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See projectIts a mini-project which highlighted on the mechanism, working and applications on the Modern Hearing Aid!
Languages
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English ,HIndi, kannada
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Jigar Halani
What's the difference between #RAG and agentic RAG? 💡 RAG is a technique where an #AI model retrieves information from a knowledge base before generating its response. Agentic RAG is more dynamic and works well for asynchronous tasks including research, summarization, and code correction. Tech blog about the key differences ➡️ https://bit.ly/4lAay6B #AgenticAI #AIAgents
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Ashwath Aithal
Google has recently published NeMo-RL on GCP and Blackwell infrastructure. This development allows users to leverage the capabilities of NVIDIA NeMo RL on Google Cloud's A4 VMs (NVIDIA B200). By utilizing this technology, you can create a low-latency, high-throughput reinforcement learning training environment. For more details, check out the discussion here: https://lnkd.in/gjbaeVs3.
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PyTorch
PyTorch 2.8 brings native XCCL support to Intel® GPUs, enabling seamless distributed training. Case studies on Argonne’s Aurora supercomputer show 99% scaling efficiency and Llama3 pre-training at scale. 🔗 Read our latest blog from Intel Corporation's PyTorch Team & Argonne National Laboratory: https://hubs.la/Q03JbBcf0 #PyTorch #Intel #AIInfrastructure #OpenSourceAI
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Prith Banerjee
I am thrilled to announce that Synopsys Inc has partnered with TSMC to enhance our multiphysics simulation and analysis capabilities for 2D and 3D design solutions! This collaboration is set to revolutionize workflows for advanced node technologies, particularly in the realms of AI, high-speed data communications, and advanced computing. Key highlights include: · AI-Assisted Optimization: Our new AI-driven workflows will significantly shorten design cycle times while improving design quality, leveraging tools like Ansys optiSLang® and Ansys Zemax OpticStudio®. · Certification of Ansys Platforms: Our simulation solutions, including Ansys HFSS-IC Pro™, Ansys RedHawk-SC™, and Ansys Totem™, are now certified for TSMC’s latest process technologies, ensuring accurate and reliable design validation. · Advanced Multiphysics Analysis: We are expanding our multiphysics analysis flows to support larger designs, enabling engineers to perform hierarchical thermal-aware and voltage-aware timing analysis for complex 3DIC designs. This collaboration empowers engineers to utilize state-of-the-art simulation and analysis tools, ensuring that they can design chips that meet the demands of tomorrow’s technology landscape. Learn more about our partnership and its impact: https://lnkd.in/ghXkiYUc https://lnkd.in/g_f3Hu69
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