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Priyanka Kaswan

Senior AI Research Engineer specializing in LLM agents and large-scale ML

Research Engineer7 years experienceSeniorTelecommunicationsTechnologyArtificial Intelligence
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About

AT&T Labs builder who deployed a production multi-agent LLM system that lets engineers ask natural-language questions and automatically generates deterministic, schema-grounded Snowflake SQL (200–400 lines) to detect anomalies in massive wireless/network event data (~11B events/day). Experienced with LangChain and Palantir Foundry orchestration, RAG-based result interpretation, and rigorous evaluation/monitoring loops to continuously improve reliability.

Experience

Research EngineerAT&T Labs
Systems Engineering Intern (recommended for full time hire)Qualcomm Technologies Inc.
Research AssociateUniversity of Maryland, College Park
Research AssociatePrinceton University
Backend Engineering InternUrbanClap (Urban Company)

Education

University of Maryland, College Parkdoctorate, Electrical and Computer Engineering (2024)
IIT Delhibachelor, Electrical Engineering (2017)

Key Strengths

  • Deployed production LLM system generating 200–400 line Snowflake SQL for network failure/anomaly analysis
  • Built multi-agent architecture with isolated roles and structured JSON interfaces
  • Strong reliability focus: schema validation, presence-map checks, step-by-step plans, and guardrails to prevent SQL hallucinations
  • Data scale experience: anomaly detection over ~11B event records added daily
  • Measurement-driven iteration: golden test suite, live monitoring (SQL success rate/latency/precision-recall), and turning failures into new test cases
  • Effective collaboration with non-technical RAN engineers via rapid prototyping and feedback-driven iteration

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Languages

English

Skills

AI agent systemsAnalytic agentsLarge language models (LLMs)Multi-agent orchestrationMixture-of-AgentsDecentralized inferenceEdge inferenceMachine learningLarge-scale machine learningFederated learningGradient compressionModel monitoringModel drift detectionRoot-cause analysisQuery generation