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Goutam Adwant

Goutam Adwant

Principal Engineer, Independent Researcher

Designing scalable cloud-native systems and practical AI research pipelines for production use.

Exploring reliable LLM systems, cloud-native architecture, and production-ready AI research pipelines.

Impact

4

Publications

6

Current preprints and research manuscripts.

Open Source Libraries

2

Published and actively maintained on PyPI.

Featured Projects

6

Focused on LLM evaluation, tooling, and reliability.

Engineering Experience

12+ years

Distributed cloud-native systems across enterprise domains.

About

Software engineer and researcher with 12+ years building large-scale cloud-native systems across enterprise domains. M.S. in Software Engineering (San Jose State University) with deep expertise in AWS microservices, Java, Python, Spring Boot, Docker, Terraform, CI/CD, and data-intensive platforms. Current research focuses on LLMs, RAG, LangChain, and explainable AI to bridge peer-reviewed innovation with production-ready intelligent systems.

Research

6

Timeline

6
  • 2010

    Career

    Bachelor of Technology (B.Tech.) in Information Technology

    Completed B.Tech. in Information Technology.

  • 2010 - 2014

    Career

    Software Engineer, Infosys

    Worked across enterprise software programs and core platform delivery.

  • 2014 - 2016

    Career

    M.S. in Software Engineering, San Jose State University

    Completed graduate studies focused on architecture and scalable systems.

  • 2015 - 2016

    Career

    Intern, Hewlett Packard Enterprise (Palo Alto)

    Contributed to big data and platform engineering initiatives.

  • 2016 - 2017

    Career

    Big Data Engineer, Hewlett Packard Enterprise (Palo Alto)

    Full-time role building data-intensive systems and production pipelines.

  • 2017 - Present

    Career

    Principal Engineer, Intercontinental Exchange

    Leading cloud-native distributed systems and production engineering programs.

Certifications

3

Peer Review

Introduction to Peer Review

Issuer: Web of Science Academy

Online, California, US

View credential

Researcher Academy

Certified Peer Reviewer

Issuer: Elsevier BV (Netherlands)

Amsterdam, North Holland, NL

View credential

Peer Review

ACM Certified Peer Reviewer

Issuer: Association for Computing Machinery

New York, New York, US

View credential

Open Source

2

pdperf

pdperf

A static performance linter that detects slow Pandas anti-patterns before they reach production.

  • Python
  • PyPI
  • Performance

bigocheck

bigocheck

Zero-dependency empirical Big-O complexity checker for Python with CLI, assertions, and pytest integration.

  • Python
  • PyPI
  • Testing

Projects

6

2 stars

bigocheck

Zero-dependency empirical Big-O complexity checker for Python with CLI, assertions, and pytest integration

  • Python
  • Open Source
View Project

1 star

rag-evidence-coverage-evaluator

A comprehensive framework for evaluating evidence coverage and faithfulness in RAG systems

  • Python
  • Open Source
View Project

1 star

rag-chain-of-logic-coverage

Official implementation of CoL-CE: A framework for evaluating reasoning validity in RAG systems

  • Python
  • Open Source
View Project

1 star

amorphous-intelligence-experiments

Experimental framework and empirical results demonstrating reasoning divergence, epistemic drift, and semantic skew using local LLMs (Ollama)

  • Python
  • Open Source
View Project

1 star

orthogonal-low-rank-editing

Implementation of Subspace Collisions in Knowledge Editing. Stable, scalable model editing with Orthogonal Low-Rank Updates

  • Python
  • Open Source
View Project

0 stars

pdperf

A static performance linter that detects slow Pandas anti-patterns before they reach production

  • Python
  • Open Source
View Project

Technology Radar

A snapshot of my core systems engineering, backend, DevOps, and AI/ML stack across real-world production and research workflows.

SystemsAI/MLBackendCloud/DevOps

Systems

  • Distributed SystemsAdopt
  • MicroservicesAdopt
  • KafkaAdopt
  • Spring BootAdopt
  • DatabasesAdopt
  • NetworkingAssess

AI/ML

  • Amazon BedrockAdopt
  • Scikit-learnAdopt
  • JupyterLabAdopt
  • Pandas & NumPyAdopt
  • LangChainAdopt
  • Hugging Face TransformersAdopt
  • PyTorchTrial
  • Amazon SageMakerTrial
  • LangGraphTrial
  • TensorFlowAssess

Backend

  • JavaAdopt
  • PythonAdopt

Cloud & DevOps

  • DockerAdopt
  • AWS (15+ Services)Adopt
  • TerraformAdopt
  • KubernetesTrial

Contact

Have a project, research idea, or collaboration in mind?

Based in San Francisco, USA (Pacific Time (PT)) | Response time: Usually within 24 hours

Research collaborationsSpeaking sessionsOpen-source maintainership