Welcome
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.

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Impact

4

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

Selected publications and preprints across LLM systems, RAG evaluation, and applied AI research.

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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

11

bigocheck

bigocheck

Zero-dependency, AI-assisted Big-O complexity checker. Static analysis + empirical benchmarking for Python.

  • Python
  • PyPI
  • complexity
  • big-o
PyPIGitHub

kvfleet

kvfleet

Production-grade, KV-cache-aware intelligent routing for self-hosted and hybrid LLM fleets.

  • Python
  • PyPI
  • gpu-routing
  • inference-routing
PyPIGitHub

mcp-egress-guard

mcp-egress-guard

Local-first MCP reverse proxy that blocks sensitive, destructive, or policy-violating tool calls before execution using deterministic rules, DLP matchers, and AST-based intent analysis.

  • Python
  • PyPI
  • agent firewall
  • data loss prevention
PyPIGitHub

mcp-pool

mcp-pool

Async connection pool for Model Context Protocol (MCP) client sessions — keep sessions warm, reuse across requests, auto-reconnect on failure.

  • Python
  • PyPI
  • agent
  • async
PyPIGitHub

mcp-shield-pii

mcp-shield-pii

Intercepting gateway proxy for MCP clients/servers — real-time PII redaction with regex, NLP, and optional subinterpreter concurrency

  • Python
  • PyPI
  • gdpr
  • hipaa
PyPIGitHub

pdperf

pdperf

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

  • Python
  • PyPI
  • pandas
  • performance
PyPIGitHub

pydanticforge

pydanticforge

Infer robust Pydantic v2 models from messy, evolving JSON streams

  • Python
  • PyPI
  • cli
  • code-generation
PyPIGitHub

schemaglow

schemaglow

Human-friendly schema diff and contract drift detection for CSV, JSON, JSONL, Parquet, OpenAPI, Avro, and protobuf.

  • Python
  • PyPI
  • avro
  • cli
PyPIGitHub

tracemap

tracemap

Modern traceroute visualizer for the terminal with TUI, interactive HTML maps, and ASN/GeoIP lookups.

  • Python
  • PyPI
  • ascii
  • debugging
PyPIGitHub

vectormigrate

vectormigrate

Python-first tooling for safe embedding-model migration across vector retrieval systems.

  • Python
  • PyPI
  • ai-infrastructure
  • embeddings
PyPIGitHub

promptspecj

PromptSpec-J

A suite of Java libraries for LLM prompt specifications. Includes sub-modules: promptspec-model, promptspec-parser, promptspec-validator, promptspec-runtime, promptspec-codegen-java, promptspec-spring-ai-adapter, promptspec-junit5, and promptspec-maven-plugin.

  • Java
  • Maven
  • Prompt Engineering
MavenGitHub

Projects

6

Selected repositories and research-oriented implementations from my GitHub.

  • bigocheck

    2 stars

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

    • Python
    • Open Source
    Open Project

  • rag-evidence-coverage-evaluator

    1 star

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

    • Python
    • Open Source
    Open Project

  • rag-chain-of-logic-coverage

    1 star

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

    • Python
    • Open Source
    Open Project

  • mcp-shield-pii

    0 stars

    🛡️ Real-time PII redaction proxy for MCP (Model Context Protocol) — detects and masks 23 entity types before they reach the LLM. Drop-in privacy layer for Claude Desktop with zero-latency regex + N…

    • Python
    • Open Source
    Open Project

  • promptspecj

    0 stars

    OpenAPI-style prompt contracts for Java and Spring AI.

    • Java
    • Open Source
    Open Project

  • tracemap

    0 stars

    Modern traceroute visualization for the terminal and the web. Table-first (MTR-style) output, interactive TUI, HTML/SVG maps, ASN + GeoIP enrichment, replay, diff, and privacy-aware design.

    • Python
    • Open Source
    Open Project

Tech Stack

22

A clean view of my technologies grouped by domain across systems engineering, AI/ML, backend, and cloud delivery.

Systems

Distributed platform architecture and runtime reliability.

DatabasesDistributed SystemsKafkaMicroservicesNetworkingSpring Boot

AI/ML

Applied model, evaluation, and LLM pipeline stack.

Amazon BedrockAmazon SageMakerHugging Face TransformersJupyterLabLangChainLangGraphPandas & NumPyPyTorchScikit-learnTensorFlow

Backend

Core implementation languages for high-scale services.

JavaPython

Cloud & DevOps

Infra automation, orchestration, and delivery platform.

AWS (15+ Services)DockerKubernetesTerraform

Visible technologies: 22

Contact

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

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

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