Kirti Agarwal
@kirtiagarwal1
I build intelligent systems spanning NVMe platforms, AI, and scalable backends.
What I'm looking for
At Samsung Semiconductor India R&D, I built and stabilized C++ system software for QEMU Virtual Platform and NVMe controller validation, helping enable early bug detection across controller, firmware, host OS, and memory.
I owned complex low-level debugging, delivered release-ready builds, optimized fio workloads across controllers, and mentored engineers on module design, performance profiling, and debugging. I also designed an AI platform for NVMe validation using Isolation Forest, FastAPI, React, and Kafka that achieved approximately 92% accuracy with 50–100 ms latency.
During my planned maternity break, I expanded into AI/ML by building end-to-end GenAI products: a multimodal RAG AI interviewer, multi-agent workflows, a conversational SQL analytics platform, and an agentic content platform that reduced manual effort by 70%.
I bring systems engineering discipline to AI products, combining C++, Python, distributed systems, RAG, LLM frameworks, and cloud-native deployment to build intelligent, scalable next-generation platforms.
Experience
Work history, roles, and key accomplishments
Contributed to QEMU Virtual Platform (QVP) development for pre-silicon system validation, emulating the full system stack to enable early bug detection. Led cross-functional collaboration to enhance and stabilize large-scale C++ system software, designed NVMe controller features, and owned end-to-end debugging of complex system-level issues.
Education
Degrees, certifications, and relevant coursework
International Institute of Information Technology Bangalore
Master of Technology, Information Technology
2017 - 2019
Grade: 3.48/4.00
Pursued M.Tech in Information Technology with a GPA of 3.48/4.00.
Availability
Location
Authorized to work in
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Skills
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