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Nihal Rao is listed as Staff Machine Learning Engineer @ SolarWinds | Large Language Models | MLOps at SolarWinds, a company with 1 employees, based in Bengaluru, Karnataka, India. AeroLeads shows a work email signal at solarwinds.com and a matched LinkedIn profile for Nihal Rao.
Nihal Rao previously worked as Staff Machine Learning Engineer at Solarwinds and Senior Machine Learning Engineer at Solarwinds. Nihal Rao holds Bachelor Of Engineering (B.E.), Computer Science from N M A M Institute Of Technology, Nitte.
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AeroLeads found 1 current-domain work email signal for Nihal Rao. Compare company email patterns before reaching out.
I am a Machine Learning Engineer at SolarWinds, specializing in the application of artificial intelligence to enhance IT service management systems. With over six years of diverse experience in fields such as IT operations management, retail, automotive, and media, I have a strong foundation in LLMs, NLP, and MLOps. My current role involves integrating large language models (LLM) into ITSM products to improve efficiency and responsiveness, contributing to transformative enhancements in our tech stack.My technical expertise supports robust solution development and deployment. My professional journey has allowed me to not only develop scalable AI solutions but also lead projects that have a tangible impact on operational success and innovation.I am driven by a passion for innovation and the pursuit of knowledge in artificial intelligence, constantly exploring new ways to leverage technology for business transformation. I welcome discussions on AI advancements and opportunities to collaborate on projects that push the boundaries of what AI can achieve.
Listed skills include Microsoft Excel, Microsoft Word, Microsoft Office, C, and 20 others.
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A career timeline built from the work history available for this profile.
Austin, Texas, US
- Pioneering the application of LLMs to enhance observability in ITSM, elevating system responsiveness and predictive capabilities by 20%.- Automate the generation of runbooks/workflows using LLMs, reducing manual process time by 35% and increasing operational efficiency in the ITSM product.
Austin, Texas, US
- Integrating advanced LLMs into ITSM products, which can result in a 30% improvement in assistive and automation features.- Boosted AIOps services by employing innovative observability strategies, achieving a 20% increase in real-time insights and performance enhancements.- Contributed to the development of advanced algorithmic capabilities, playing a key.
Bengaluru, Karnataka, IN
- Architected a robust mobile ML pipeline leveraging TensorFlow Lite, slashing compute costs by 50% and doubling cost-efficiency for client deployments.- Engineered a sophisticated retail loss prevention system using deep learning techniques, halving shrinkage events and delivering substantial cost savings to clients.
Bengaluru, Karnataka, IN
- Developed core ML modules for predictive analytics in retail, quintupling client revenue through data-driven decision-making and actionable insights.- Pioneered DL-based SKU recognition and product detection systems, enhancing inventory accuracy by 40% and streamlining logistics for large-scale retail operations.- Created a robust image stitching.
Bangalore, Karnataka, IN
- Led advanced R&D initiatives in computer vision and deep learning, deploying custom solutions that enhanced functionality in automotive and media sectors, significantly improving surveillance accuracy and media content analytics.- Developed and implemented a deep learning-driven face recognition system, enhancing security protocols by 30% through.
Bangalore, Karnataka, IN
- Played a pivotal role in multidisciplinary R&D teams, applying computer vision and deep learning to develop scalable solutions that improved operational efficiency by 25% across multiple domains.- Designed an advanced metadata generation system using machine learning, enabling precise indexing and 50% faster retrieval of video content in extensive media.
Other employees you can reach at solarwinds.com. View company contacts for 1 employees →
Clay Whitley
Colleague at Solarwinds
Richmond, Virginia, United States, United States
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AS
Analuisa Saavedra
Colleague at Solarwinds
Charlotte, North Carolina, United States, United States
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GH
Grace Hendrick
Colleague at Solarwinds
Ireland, Ireland
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AS
Anand S
Colleague at Solarwinds
Bengaluru, Karnataka, India, India
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OB
Olivia Buffaloe
Colleague at Solarwinds
Pflugerville, Texas, United States, United States
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DC
Dan Christopher Olfindo
Colleague at Solarwinds
Metro Manila, Philippines
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MS
Matthew Sweitzer
Colleague at Solarwinds
Austin, Texas, United States, United States
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JB
Jenne Barbour
Colleague at Solarwinds
Austin, Texas Metropolitan Area, United States, United States
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SH
Shirley Hurley
Colleague at Solarwinds
Buda, Texas, United States, United States
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PB
Patrik Behrami
Colleague at Solarwinds
Olomouc, Olomouc, Czechia, Czech Republic
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Quick answers generated from the profile data available on this page.
Nihal Rao works for SolarWinds.
Nihal Rao is listed as Staff Machine Learning Engineer @ SolarWinds | Large Language Models | MLOps at SolarWinds.
AeroLeads has found 1 work email signal at @solarwinds.com for Nihal Rao at SolarWinds.
Nihal Rao is based in Bengaluru, Karnataka, India while working with SolarWinds.
Nihal Rao has worked for Solarwinds, Infilect, and Tata Elxsi.
Nihal Rao's colleagues at SolarWinds include Clay Whitley, Analuisa Saavedra, Grace Hendrick, Anand S, and Olivia Buffaloe.
You can use AeroLeads to view verified contact signals for Nihal Rao at SolarWinds, including work email, phone, and LinkedIn data when available.
Nihal Rao holds Bachelor Of Engineering (B.E.), Computer Science from N M A M Institute Of Technology, Nitte.
Nihal Rao is listed with skills including Microsoft Excel, Microsoft Word, Microsoft Office, C, C++, Powerpoint, Html, and Php.
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