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Krishna D
@krishna_kartik
AI Engineer
Vereinigte Staaten
Englisch, Telugu, Hindi
Über mich
I am an AI Engineer focused on LLM evaluation and reliability. I created REVAL, an automated factuality benchmark across 54 domains, backed by 5 years of experience building production observability systems at Texas Instruments and Dell. I specialize in RAG, LLM fine-tuning (SFT/DPO), and inference optimization.
Kompetenzen
Krishna D
offline •
Durchschnittliche Antwortzeit: 1 Stunde
Meine Dienstleistungen
Entwicklung von KI-Chatbots
I will build an ai chatbot that answers questions from your documents
Arbeitserfahrung
Software Engineer 2
Dell
Jul 2023 - Present • 3 yrs
• Designed and implemented Dell’s first OpenTelemetry export pipeline for its iDRAC open-source telemetry stack, enabling standardized observability integration and scalable telemetry ingestion. • Architected and deployed LLM-assisted security automation tools for CVE triage, remediation workflows, and Jira orchestration, reducing review cycles from several days to under 1 hour across multiple engineering teams. • Led development of an explainable AI assistant for telemetry querying and infrastructure control across 100+ Redfish APIs, winning 1st place at Dell’s 2023 Austin LLM Hackathon. • Improved reliability of the iDRAC chip telemetry pipeline by optimizing infrastructure bottlenecks and stabilizing monitoring for 180+ system metrics across Dell PowerEdge GPU systems. • Mentored interns in building an automated vulnerability-scanning pipeline that reduced release security analysis time from 2 weeks to 2 hours.
VMware Administrator / Automation Engineer
Texas Instruments • Vollzeit
Jul 2019 - Aug 2021 • 2 yrs 1 mo
Built monitoring pipelines and Splunk dashboards for 20,000+ servers to improve operational visibility. Automated enterprise infrastructure patch scheduling workflows using REST APIs and approval pipelines, saving over 2,000 engineering hours annually.
