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Principal engineer and independent researcher

I started in enterprise software at Infosys in 2010, moved to the Bay Area for a master's in software engineering at San José State, and built big-data platforms at Hewlett Packard Enterprise. In 2017 I joined the company where I have grown from senior engineer to staff engineer, and to principal engineer in 2025.

As a senior engineer on the platform team I designed and built many of the scalable microservices behind a mortgage loan automation application on AWS. I owned them end to end: design, Terraform infrastructure, code, and deployment, with Spring Boot, Kafka, Kinesis, DynamoDB, PostgreSQL, and ECS.

Today I build GenAI and agentic solutions on Amazon Bedrock AgentCore and in-house AI infrastructure with Python, LangGraph, MCP, and LLMs: a consumer-facing assistant, agentic workflows, and internal AI tools. I also help shape the architecture of the AI tooling and infrastructure stacks underneath them.

Alongside that I work upstream on the infrastructure those systems depend on, mostly in Apache projects such as SeaTunnel, DataFusion, Maven, and Spark, and across Python, Go, Rust, Spring, and PyTorch ecosystems. I publish applied systems research and review manuscripts for IEEE, ACM, Springer Nature, and Elsevier.

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Portrait of Goutam Adwant

San Francisco Bay Area, CA

Background

Experience and education

From enterprise software to production AI platforms, with research and open-source work alongside.

  1. 2025 - Present

    Principal Engineer

    Enterprise AI platforms

    Builds GenAI and agentic solutions on Amazon Bedrock AgentCore and in-house AI infrastructure, and shapes the architecture of the AI tooling and infrastructure stacks underneath them.

    • Designs and develops chatbots, agentic workflows, and AI-powered tools for diverse use cases with Python, LangGraph, MCP, LLMs, and AWS services.
    • Contributes to the architecture and design of the underlying AI tooling and infrastructure stacks, helping the team build scalable, secure, production-ready AI platforms.
    • Amazon Bedrock AgentCore
    • LangGraph
    • MCP
    • Python
    • LLMs
    • AWS

  2. 2022 - 2025

    Staff Software Engineer

    Enterprise platforms

    Staff-level engineering across the platform, with work spanning search and machine learning alongside the core services.

    • Elasticsearch
    • PyTorch
    • AWS
    • Platform services

  3. 2017 - 2022

    Senior Software Engineer

    Platform engineering

    On the platform engineering team, designed and built many of the scalable microservices behind a mortgage loan automation application.

    • Owned services end to end: design, Terraform infrastructure, code, and deployment.
    • Spring Boot 2 and Java 8 services on ECS and EC2, connected through Kafka and Kinesis, with DynamoDB, RDS PostgreSQL, and S3 for data.
    • Java
    • Spring Boot
    • Kafka
    • AWS
    • Terraform
    • Docker

  4. Current

    Independent Researcher & Open-Source Contributor

    Independent

    Publishes applied systems research, reviews manuscripts for IEEE, ACM, Springer, and Elsevier venues, and contributes merged fixes and features to Apache and other widely used projects.

    • Applied research
    • Peer review
    • Upstream open source

  5. 2015 - 2017

    Big Data Engineer

    Hewlett Packard Enterprise

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

    • Java
    • Python
    • Data pipelines
    • Platform

  6. 2014 - 2016

    M.S. in Software Engineering

    San José State University

    Graduate work in software architecture and scalable systems.

    • Software architecture
    • Distributed systems

  7. 2010 - 2014

    Software Engineer

    Infosys

    Delivered enterprise software programs and core platform work.

    • Enterprise software
    • Java

Technical skills

Technology stack

What I use across backend and data systems, cloud infrastructure, applied AI, and developer tooling.

Cloud Architecture

AWS-based distributed systems designed for reliability, security, and day-to-day operation.

  • AWS
  • Terraform
  • Docker
  • CI/CD
  • Observability

Backend & Data Systems

Streaming, CDC, and query engines; data-intensive services built for correctness at scale.

  • Java
  • Python
  • Rust
  • Spring
  • Apache SeaTunnel
  • DataFusion

Applied AI

Production generative AI, agent workflows, RAG, and evaluation pipelines with measurable results.

  • LLMs
  • RAG
  • LangGraph
  • MCP
  • Agentic workflows

Developer Platforms

Build tooling and CI checks that catch quality, compatibility, and performance problems early.

  • Maven
  • AST tooling
  • PyPI
  • Testcontainers
  • Automation

Memberships and community

Professional memberships

  • IEEESenior Member
  • IETMember

Peer-review training

  • Introduction to Peer Review (Web of Science Academy)
  • Certified Peer Reviewer (Elsevier BV (Netherlands))
  • ACM Certified Peer Reviewer (Association for Computing Machinery)

Community answers

Accepted answers in the ArcadeDB, Apache Superset, NetBox, Sphinx discussion forums.