Prarthi Jain 🚀

Prarthi Jain

(She/Her)

SDE II, Amazon Web Services

Amazon Web Services (AWS)

Professional Summary

I’m a Software Development Engineer at Amazon Web Services, focusing on building an agentic platform that leverages large language models to automate AWS cloud support workflows, analyze incidents, and drive near real-time remediation across large-scale distributed systems. Previously, I led observability and telemetry platforms for robotics at Dexterity, and worked on Spark on Kubernetes at Cloudera.

I specialize in distributed systems, real-time streaming and anomaly detection, and modern platform engineering. With published research in IEEE, ACM, and Springer, I’m passionate about taking systems from prototype to production and building platforms that improve reliability, scalability, and developer experience.

Focus areas: GenAI & multi-agent systems · Backend & Platform Engineering · Distributed Systems & Cloud Architecture · Kubernetes · Real-Time Telemetry

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Education

MEng, Computer Science

Cornell University

MS (Research), Computer Science & Engineering

Indian Institute of Technology (IIT) Indore

BE, Information Technology

Devi Ahilya Vishwavidyalaya (DAVV)

Interests

GenAI & multi-agent systems Backend & Platform Engineering Distributed Systems & Cloud Architecture Kubernetes Real-Time Telemetry
📌 About My Work

I’m a Software Development Engineer at Amazon Web Services, focusing on building an agentic platform that leverages large language models to automate AWS cloud support workflows, analyze incidents, and drive near real-time remediation across large-scale distributed systems. Previously, I led observability and telemetry platforms for robotics at Dexterity, and worked on Spark on Kubernetes at Cloudera.

I specialize in distributed systems, real-time streaming and anomaly detection, and modern platform engineering. With published research in IEEE, ACM, and Springer, I’m passionate about taking systems from prototype to production and building platforms that improve reliability, scalability, and developer experience.

Focus areas: GenAI & multi-agent systems · Backend & Platform Engineering · Distributed Systems & Cloud Architecture · Kubernetes · Real-Time Telemetry

Featured Publications
An Energy Efficient Fault-Anomaly Detection in Wireless Body Area Networks featured image
Anomaly Detection

An Energy Efficient Fault-Anomaly Detection in Wireless Body Area Networks

Energy-aware anomaly detection for WBANs.

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Prarthi Jain
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Anomaly Detection in Resource Constrained Environments with Streaming Data featured image
Anomaly Detection

Anomaly Detection in Resource Constrained Environments with Streaming Data

Methods for robust streaming anomaly detection on constrained devices.

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Prarthi Jain
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Recent Publications
Prarthi Jain, S. Jain, P. K. Upadhyay, J. M. Moualeu, A. Srivastava (2022). An Energy Efficient Fault-Anomaly Detection in Wireless Body Area Networks. ACM HEALTH.
Source Document
Prarthi Jain, S. Jain, A. Srivastava (2021). An Efficient Anomaly Detection Approach using Cube Sampling with Streaming Data. In PReMI.
Source Document PDF
Prarthi Jain, S. Jain, O. R. Zaïane, A. Srivastava (2021). Anomaly Detection in Resource Constrained Environments with Streaming Data. IEEE TETCI.
Source Document

Experience

  1. SDE II

    Amazon Web Services (AWS)
    Contributing to Amazon’s GenAI and automation initiatives by building an agentic platform that reduces cloud support overhead and automates complex operational workflows via Amazon Q and other channels. Integrating LLMs, orchestration agents, and event-driven pipelines to autonomously analyze incidents and drive near real-time remediation across large-scale distributed systems.

  2. Software Engineer 3

    Dexterity, Inc.
    Led the observability platform for large-scale robotic fleets. Built secure, real-time streaming telemetry pipelines enabling actionable insights and early fault detection.

  3. Software Engineer 2

    Dexterity, Inc.
    Designed and shipped an end-to-end REST API monitoring platform in Go, containerized and deployed to GKE with authN/Z. Drove horizontal/vertical scaling by migrating from Prometheus to VictoriaMetrics to improve efficiency of real-time metrics ingestion and monitoring for robot applications.

  4. Graduate Teaching/Research Specialist (GTRS)

    Cornell University
    Supported CS4450 (Computer Networks) with Prof. Rachit Agarwal and CS4120 (Compilers) with Prof. Andrew Myers.

  5. Software Engineer

    Cloudera
    Automated AKS/EKS cluster status tracking with REST APIs. Added Airflow/Spark email alerts for SLA misses and failures. Added CLI support for creating EKS/AKS clusters. Release captain for a major product release. Open source: Apache Zeppelin (ZEPPELIN-5116, ZEPPELIN-5249).

  6. Teaching Assistant

    Indian Institute of Technology (IIT) Indore
    TA for IC151 (Computer Programming) and CS358 (Compiler Techniques).

Education

  1. MEng, Computer Science

    Cornell University
    Coursework in systems and ML. Graduate Teaching/Research Specialist for CS4450 (Computer Networks) and CS4120 (Compilers). Project: Alert vehicles based on dynamic routing of emergency vehicles using Kafka streaming and cloud deployment. GPA: 3.75

  2. MS (Research), Computer Science & Engineering

    Indian Institute of Technology (IIT) Indore
    Research in anomaly detection for resource-constrained systems. CPI: 9.13

  3. BE, Information Technology

    Devi Ahilya Vishwavidyalaya (DAVV)
    Grade: 83.97%
News
  • IIT Indore using AI to develop network to detect fires in Melghat Tiger Reserve — Times of India