Goutam Adwant San Francisco Bay Area

Principal engineer building production AI platforms.

Agentic systems on Amazon Bedrock AgentCore, LangGraph and MCP. Upstream fixes in the open-source data and build infrastructure underneath them, and applied research with peer review for IEEE and ACM journals.

Merged in ApacheApache
SeaTunnel, DataFusion, Maven 4
MeasuredMeasured
11.9× faster query planning
ReviewerReviewer
IEEE TPAMI, ACM TOSEM, FGCS

Contributing upstream

Foundations and projects where my fixes and features have landed. Hover or tap a logo to see the work.

Full history on GitHub

Apache Software FoundationFoundation

Checkpoint safety and connectors in SeaTunnel, query planning in DataFusion, and Maven 4 extension APIs.

Names and logos belong to their owners and indicate projects I have contributed to, not endorsement.

How I work

Four kinds of work, each with something real to look at.

Production AI platforms

Agentic assistants with grounded retrieval and governed tool access, and the platform internal tools build on.

  1. ClientConsumer app
  2. AgentAgentCore Runtime
  3. ContextPostgreSQL + pgvectorRedis
  4. ActionsAgentCore GatewayInternal services
  1. ClientConsumer app
  2. AgentAgentCore Runtime
  3. ContextPostgreSQL + pgvector
  4. ActionsAgentCore Gateway
  • Amazon Bedrock AgentCore
  • LangGraph
  • MCP
  • pgvector

Cloud platform engineering

Scalable microservices on AWS, owned end to end from design and Terraform to code and deployment.

  1. EdgeCloudFront
  2. ServicesSpring Boot microservices
  3. EventsKafka and Kinesis
  4. DataDynamoDB and RDS PostgreSQL
  • Spring Boot
  • Kafka
  • ECS
  • DynamoDB
  • Terraform

Research and peer review

Applied systems research, and manuscript review for journals and conferences in AI and software engineering.

Latest paper

EventFlowSentry: Reproducible Fault Injection and Metamorphic Testing for Event-Time Streaming Pipelines

Preprint, SSRN

IEEE
IEEE AccessTPAMITMCOJ-CSTNSEIT Professional
ACM
CAISTOSEM
Springer Nature
NCA
Elsevier
ArrayFGCS

Selected work

Problems worth solving well

All work
  1. AI platformsProduction

    A consumer-facing AI assistant on Amazon Bedrock AgentCore

    Agentic assistant with grounded retrieval, governed tool access, and conversation memory, plus the shared AI platform internal tools now build on.

    Read the story

    1. ClientConsumer app
    2. AgentAgentCore Runtime
    3. ContextPostgreSQL + pgvectorRedis
    4. ActionsAgentCore GatewayInternal services
    1. ClientConsumer app
    2. AgentAgentCore Runtime
    3. ContextPostgreSQL + pgvector
    4. ActionsAgentCore Gateway
  2. Platform engineeringProduction

    Cloud-native microservices for mortgage loan automation

    Designed and built many of the platform's scalable microservices on AWS, owning each from design and Terraform to code and deployment.

    Read the story

    1. EdgeCloudFront
    2. ServicesSpring Boot microservices
    3. EventsKafka and KinesisLambda
    4. DataDynamoDB and RDS PostgreSQLS3
    1. EdgeCloudFront
    2. ServicesSpring Boot microservices
    3. EventsKafka and Kinesis
    4. DataDynamoDB and RDS PostgreSQL
  3. AI infrastructureOpen-source project

    kvfleet: cache-aware routing for LLM fleets

    A routing control plane that keeps KV-cache locality, policy, and health in one explainable decision.

    Read the story

    1. NormalizeFingerprint
    2. GatePolicy and health
    3. RankMulti-objective score
    4. ExecuteRoute with fallback
    1. NormalizeFingerprint
    2. GatePolicy and health
    3. RankMulti-objective score
    4. ExecuteRoute with fallback
  4. Data systemsUpstream

    Checkpoint safety for change-data-capture in Apache SeaTunnel

    Pinned down what a CDC checkpoint is allowed to contain when a fetcher fails mid-handoff.

    Read the story

    1. SourceSplit fetcher
    2. HandoffRecord queue
    3. EmitEmitter
    4. RecoverCheckpoint and restore
    1. SourceSplit fetcher
    2. HandoffRecord queue
    3. EmitEmitter
    4. RecoverCheckpoint and restore

Research and review

Research

Reviewer for

IEEE
IEEE Access, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Mobile Computing, IEEE Open Journal of the Computer Society, IEEE Transactions on Network Science and Engineering, IT Professional
ACM
ACM Conference on AI and Agentic Systems, ACM Transactions on Software Engineering and Methodology
Springer Nature
Neural Computing and Applications
Elsevier
Array, Future Generation Computer Systems

How I got here

About
  1. 2010

    2010 - 2014

    Software Engineer

    Infosys

    Delivered enterprise software programs and core platform work.

  2. 2014

    2014 - 2016

    M.S. in Software Engineering

    San José State University

    Graduate work in software architecture and scalable systems.

  3. 2015

    2015 - 2017

    Big Data Engineer

    Hewlett Packard Enterprise

    Built data-intensive platform capabilities and production pipelines, starting as an intern and continuing full time.

  4. 2017

    2017 - 2022

    Senior Software Engineer

    Platform engineering

    Scalable AWS microservices for a mortgage loan automation application, owned end to end.

  5. 2022

    2022 - 2025

    Staff Software Engineer

    Enterprise platforms

    Staff-level engineering across platform services, search, and machine learning.

  6. 2025

    2025 - Present

    Principal Engineer

    Enterprise AI platforms

    GenAI and agentic solutions on Amazon Bedrock AgentCore and in-house AI infrastructure.

Alongside my role: applied systems research, manuscript review for IEEE, ACM, Springer and Elsevier, and upstream open-source work.

Let's talk

For research collaboration, reviewing, or engineering conversations.

Latest writing

Your Python Tests Pass. But Your O(n) Code Just Became O(n²).

Meet bigocheck: an open-source Python tool that measures algorithmic growth and catches complexity regressions in pytest and CI.