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LinkedIn People Search
Find LinkedIn profiles by name, title, company, school, industry, and more — returns name, title, company, location
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What you'll get
Here's a sample run for the LinkedIn People Search agent finding 10 employees at Anthropic, showing the exact schema and results you can expect.
10 sample rows · 38 columns
| # | Search Query | Profile URL | First Name | Last Name | Headline | Current Title | Company | Company URL | Company Logo | Tenure | Started | Work Location | Employment Type | Workplace | Location | Profile Picture | Cover Picture | Followers | Connections | Username | Premium | Open To Work | Hiring | Verified | Top School | Top Degree | Top Skill | Joined LinkedIn | About | Influencer | Location City | All Experience | All Education | All Skills | Languages | Recommendations | Certifications | Honors & Awards |
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1 | AI Engineer | Siddharth | M. | AI Compute Infra @ Anthropic | Ex-Tenstorrent, Waymo, Zoox | Investor | AI Accelerators & GPUs - Clusters & Infrastructure | Anthropic | 6 mos | Nov 2025 | San Francisco, California, United States | — | — | San Francisco Bay Area | — | 8,339 | 6,499 | siddharthmehta | true | false | false | true | University of Maryland | Master of Science - MS | Product Management • Artificial Intelligence (AI) • Autonomous Vehicles • Executive Leadership • Product Innovation | 2007-08-27T13:43:56.000Z | I'm a first-principled and high-agency leader, who is passionate about mission-driven work - building Technology, Teams and Products that shape the future of intelligence and humanity. I've been at the frontier of AI Compute Infra, Custom AI Chips, Autonomous Vehicles and Consumer Electronics.
Currently at Anthropic, I mange the multi-cloud, multi-chip AI Compute lifecycle that powers Anthropic's frontier Research, Pretraining, Inference, and Infrastructure.
Previously, as Sr. Director and founding execution lead at Tenstorrent, I helped our C-Suite and Leadership to transition Tenstorrent from Engineering-driven to Product & Customer-shipping. I led multiple 0-to-1 strategic initiatives across Custom AI Semiconductors, AI Software and AI Models.
3 Focus areas -
1) Anthropic & Tenstorrent - AI Accelerators, Systems and AI Models
* $B+ annual multi-chip, multi-cloud Hyperscaler commitments on AWS, GCP, Azure - GPUs, TPUs, Trainium.
* Led AI Compute Infrastructure, Cloud, Customers and Global Neocloud Partnerships at Tenstorrent.
* Drove CEO-level strategic initiatives for Model Bring up, Requirements, Developer Experience, SW Maturity.
* Silicon IP, Chips, Chiplets - Managed Backend & IP Vendors post AI ASIC tapeout - Fab Yield, ATE coverage, packaging: Drove ATE/Wafer Sort & Package Tests, SLT with Fabs, OSATs.
* Scale-up & scale-out systems with better TCO (performance/$, performance/Watt) and efficiency
* AI Models: LLMs, CNNs models across Enterprise AI, Silicon Design, Automotive, Autonomous Vehicles, Robotics, and more.
2) Autonomous Vehicles - Waymo & Zoox
* Architecture, Developments, Verification & Validation, Commercialization, Scaling, and operating Robotaxi and Trucking AVs.
* Led multiple safety-critical and security programs enabling Waymo's & Zoox's SF Driverless launch, California Regulatory approvals, Robotaxi Operations + scaling Zoox's Custom AV and Amazon acquisition.
Expertise - autonomy stack:
* Hardware: Cameras, LiDARs, Radars, Compute, Networking, Test & Manufacturing
* ML Software & AI Models: Perception, Prediction, Motion Control, End-to-end Neural Networks
* Infrastructure: Remote Operations, Fleet Management, Data Infrastructure, HD Maps, GTM
* Productization: UI/UX, Regulatory approvals (Federal & State), Commercialization, Revenue streams, Unit Economics, Manufacturing
3) Angel Investor & Advisor
* Deep-tech portfolio: OpenAI, SpaceX, Neuralink, OpenNode, Amber, Satoshi Energy.
* Advise startups and career aspirants on AI Supercomputer Hardware, Enterprise AI, Models & Autonomous Vehicles | false | San Francisco | [12 items] | [2 items] | [28 items] | [5 items] | — | — | [1 item] | ||||
2 | AI Engineer | Enes | Aydin | AI Engineer & Researcher | MSc in AI & Data Engineering | RLHF - SFT - DPO - Agentic LLM Trainer | Knowledge Distillation | Frontier AI Safety | Agent Evaluation | Claude Evaluation Engineer (Contractor) | Anthropic | 4 mos | Jan 2026 | San Francisco Bay Area | Freelance | Remote | Greater Istanbul | 10,833 | 10,778 | enesaydin00 | true | false | false | true | TAFE NSW | Sydney - Australia | AI Agent • Generative AI • Business Strategy • Business Consulting | 2021-03-03T23:32:37.234Z | Hello, I’m Enes, an AI/ML Engineer focused on LLM evaluation, agentic AI workflows, and cloud-based systems. I work on building practical, scalable AI solutions and I’m always open to learning new technologies and adapting to fast-moving environments.
Anthropic | Claude Evaluation Engineer (Contractor)
• Human preference evaluation for LLMs (DPO)
• Multi-turn code and reasoning assessment
• Feedback-driven model quality improvement
Apple | Agentic LLM Trainer (Contractor)
• Agentic LLM training and evaluation workflows
• RLHF, SFT, function calling, and data quality
• Scalable AI data operations for real-world use cases
Rönesans Holding | SAP SuccessFactors SaaS Project
• Worked on SAP SuccessFactors SaaS-focused projects
• Enterprise systems, digital transformation, and business process understanding
• Strong foundation in SAP-based solutions
AI Trainer
• Deliver AI awareness trainings for teams and communities - Amadeus
• Focused on practical AI adoption for business use cases - İBB
Ankara University | Artificial Intelligence and Data Engineering (Thesis-based)
• Working on Multi Agent and Cloud Systems.
Big fan of the startup chaos, honestly 🚀
📩 eensaydn@icloud.com | false | Istanbul | [13 items] | [4 items] | [62 items] | [2 items] | — | [20 items] | — | |||||
3 | AI Engineer | Robert | Macrae | Voice AI Engineer, AI Coding consultant, PhD | Applied AI | Anthropic | 4 mos | Jan 2026 | — | — | — | London Area, United Kingdom | 904 | 822 | romacrae | true | false | false | true | Queen Mary University of London | PhD in Electronic Engineering: Music Information Retrieval | — | 2011-08-09T21:15:34.015Z | Experienced Software Engineer and tech startup consultant with a passion for Voice AI | false | — | [10 items] | [2 items] | [30 items] | [2 items] | [1 item] | — | [2 items] | |||||
4 | AI Engineer | Vamsi | Karuturi | AI/ML Engineer | LLM Alignment (SFT, RLHF, Constitutional AI) | Scalable Distributed Training | Generative AI & RAG | MLOps | AI/ML Engineer | Anthropic | 11 mos | Jun 2025 | — | Full-time | — | United States | — | 446 | 440 | vamsi0417 | false | false | false | true | New Jersey Institute of Technology | Master's degree | — | 2020-02-10T12:39:18.295Z | AI/ML Engineer with 5+ years of experience building scalable AI systems across large language models and enterprise machine learning. I specialize in LLM alignment using SFT, RLHF, and Constitutional AI, with hands-on experience improving reasoning consistency, reducing hallucinations, and deploying safety-focused models in production environments.
My work spans distributed multi-GPU/TPU training, inference optimization, and latency-aware architectures, along with end-to-end ML system design including churn prediction, risk modeling, and forecasting. I’ve built robust MLOps pipelines with CI/CD automation, model monitoring, and cloud-native deployment on AWS and Azure.
I’m passionate about advancing reliable, safe, and high-performance AI systems that bridge research innovation with real-world impact. | false | — | [2 items] | [2 items] | [27 items] | — | — | [1 item] | — | ||||
5 | AI Engineer | Pradeep | Nadella | AI/ML Engineer | 6+ Years Experience | LLM Optimization & Generative AI | RLHF | Fraud Detection at $5B+ Scale | MLOps | AI/ML Engineer | Anthropic | 1 yr | May 2025 | United States | Full-time | — | United States | 116 | 115 | pradeep-nadella-3687a2238 | false | false | false | — | Saint Louis University | Master's degree | — | 2022-04-22T17:38:04.960Z | AI/ML Engineer with 6+ years of experience building scalable machine learning and generative AI systems in high-impact, production environments. I specialize in optimizing large language models, designing real-time risk platforms, and deploying end-to-end ML systems that operate at scale.
At Anthropic, I worked on multi-billion parameter LLM optimization, improving inference efficiency by 20% and reducing hallucination through transformer fine-tuning and RLHF. I’ve built distributed GPU training pipelines, model evaluation frameworks, and monitoring systems focused on robustness, alignment, and Responsible AI.
Previously at Stripe, I designed fraud detection models supporting $5B+ in annual payment volume, processing 3M+ transactions daily and improving fraud accuracy by 22%. I defined KPIs with risk and compliance teams, engineered 100+ fraud features, built and optimized XGBoost and deep learning models. After offline validation and A/B testing, I supported production rollout using CI/CD pipelines, implemented monitoring and drift detection, and continuously refined models. This improved detection accuracy by 22%, reduced fraud losses by 18%, and increased authorization rates by 3–5%.
My strengths include Generative AI, Transformers (BERT, GPT, LLaMA), PyTorch, MLOps, distributed systems, and cloud-native ML infrastructure.
I’m passionate about building reliable, scalable AI systems that create measurable business impact. | false | — | [2 items] | [2 items] | — | — | — | — | — | |||||
6 | AI Engineer | Morgan | Rankey | Applied AI @ Anthropic | Applied AI - Capital Markets | Anthropic | 2 mos | Mar 2026 | New York, NY | Full-time | — | New York, New York, United States | 4,148 | 4,148 | morganrankey | true | false | false | true | Georgia Institute of Technology | AI/ML Courses | — | 2017-02-26T21:51:38.454Z | Enabling multi-strategy hedge funds, systematic firms, and market makers to leverage the latest hybrid-cloud technologies.
I specialize in architecting and deploying solutions across 200+ services, spanning compute, storage, databases, artificial intelligence, security, and the broader cloud infrastructure stack.
My experience includes designing and implementing:
1. Artificial Intelligence (AI) and Machine Learning (ML) HPC Research environments for market simulation, back-testing, and model training
2. Real-time, historical, and alternative data ingestion and ETL pipelines
3. Order and execution managements systems (OEMS)
4. Autonomous generative AI agents and Platforms for investment research
5. Middle-office and back-office systems
Previously, I led the Sales Engineering team at Riskified (NYSE: RSKD), driving technical strategy and client success. | false | New York City | [12 items] | [4 items] | [28 items] | — | [3 items] | [6 items] | — | |||||
7 | AI Engineer | Felix | Rieseberg | Claude Cowork & Code at Anthropic | Member of Technical Staff, Manager | Anthropic | 1 yr | May 2025 | San Francisco, California, United States | Full-time | — | San Francisco, California, United States | 13,117 | 2,237 | felixrieseberg | true | false | false | true | University of Oxford | MSc | — | 2011-11-01T20:30:44.598Z | Member of Technical Staff at Anthropic. Previously at Notion, Stripe, Slack, and Microsoft. O'Reilly Author and Trainer. Maintainer of tons of Node.js and JavaScript modules both big and small, including Electron.
https://www.felixrieseberg.com/about-me/ | false | San Francisco | [17 items] | [2 items] | [20 items] | [2 items] | — | — | — | |||||
8 | AI Engineer | Sriram | Karicheti | AI/ML Engineer @Anthropic | Building LLM-Powered Developer Tools | AI Agents • RAG • Vector Search | AI Platforms & Forecasting Systems | Seeking new opportunities | AI/ML engineer | Anthropic | 1 yr 9 mos | Aug 2024 | San Francisco, CA | — | — | United States | 1,595 | 1,592 | sriram-chowdary-karicheti | true | true | false | true | Saint Louis University | Master of Science - MS | Data Science • Machine Learning • Artificial Intelligence (AI) • Python (Programming Language) • MySQL | 2022-09-18T06:24:31.510Z | AI/ML Engineer passionate about building intelligent systems that solve real-world problems at scale. I work at the intersection of data, machine learning, and scalable systems, designing solutions that turn complex information into practical insights and automation. My experience includes building data pipelines, improving forecasting systems, and developing AI-powered platforms that enhance productivity and decision-making.
What drives my energy is solving meaningful problems and building systems that make people’s work easier and smarter. My life motto is simple: keep learning, stay curious, and try to make things a little better than yesterday. | false | — | [2 items] | [2 items] | [37 items] | — | — | [12 items] | — | |||||
9 | AI Engineer | Sai | krishna komunoni | AI/ML Engineer | LLMs, Agentic AI & RAG Systems | Real-Time ML Inference | Distributed Systems | Ex-Meta | AI/ML Engineer | Anthropic | 1 yr 9 mos | Aug 2024 | San Francisco, USA | — | — | San Francisco Bay Area | — | 156 | 150 | sai-krishna-komunoni | false | true | false | true | Central Michigan University | Master of Science, Digital management | — | 2024-02-08T04:34:51.280Z | • AI/ML Engineer with 5+ years of experience building and operating production-grade AI systems, spanning backend engineering, machine learning infrastructure, and large-scale LLM platforms.
• Strong foundation in real-time ML inference, distributed backend systems, and cloud-native services, developed through hands-on ownership of personalization, ranking, and media ML pipelines.
• Currently focused on agentic LLM systems and developer productivity platforms, building AI-powered coding agents, tool-integrated workflows, and low-latency inference services at Anthropic.
• Experienced in PyTorch-based model training, fine-tuning, evaluation, and RAG pipelines, with a proven ability to
translate research models into reliable, scalable production systems.
• Adept at cross-functional collaboration across ML research, data engineering, infrastructure, and product teams to
deliver secure, compliant, and high-impact AI solutions. | false | San Francisco | [2 items] | [1 item] | [50 items] | — | — | — | — | ||||
10 | AI Engineer | Yuri | Niyazov | AI-Native Builder | Investor | Stripe | 3 mos | Feb 2026 | — | — | — | San Francisco Bay Area | — | 1,003 | 799 | yuriniyazov | true | false | false | true | New York University | BS | — | 2007-06-01T10:06:16.000Z | I've been a software engineer for 20 years. Built products, led research (published in PLOS on open access impact), founded startups, and spent the last eight years deep in infrastructure and SRE work.
Started as an IC, moved into leadership building teams. For the last two years I've been watching the nature of IC engineering work change completely.
When I was an IC, you wrote code in an editor. Now engineers are orchestrating AI agents that write code that talks to other systems. From a leadership seat, I've been driving this transformation at Academia.edu. The builder in me wants to be on the front-line in this shift, not just enabling the organization, but living in it myself as a front line EM or IC
Major technical accomplishments at Academia.edu: $350K AWS cost reduction, 14x email infrastructure scaling (Redis, PostgreSQL, Sidekiq), HTTPS migration delivering 30% traffic lift, VPC architecture redesign. Built SRE practice from scratch supporting $0→$40M ARR growth.
Currently VP of Engineering at Academia.edu. Also: Mechanistic Interpretability student, daily Cursor/Claude Code user. | false | San Francisco | [16 items] | [2 items] | [29 items] | [2 items] | [1 item] | [1 item] | — |