Manoj R. Ponagandla

AI Engineering Leader · Full-Stack

Spec-driven.Agent-built.Production‑grade.

Manoj Reddy Ponagandla. Software Engineer III at Charter Communications, leading AI-native practice and sharing open-source AI tooling.

5+

years driving AI-native engineering

2

hackathons judged, at UCLA and Michigan

1,300+

clones in 60 days, zero paid promotion

480+

unique developers using the open-source tool

// Selected work

Systems and tools,
built to last.

Enterprise · Platform

Platform migration

Owned the largest service in the org's Java 8 → 17 / Spring Boot 3.x migration and led the React 16 → 18 upgrade, including multilingual localization with React-i18next.

  • Java 17
  • Spring Boot 3
  • React 18
  • React-i18next

Enterprise · Streaming

Event-driven architecture

Designed and enhanced Kafka-based event-driven architectures for real-time processing across distributed systems.

  • Kafka
  • Distributed systems
1,300+

Open source · GPL v3

Python Resume Generator

LangChain CLI that tailors resumes from a single source-of-truth profile, with validation thresholds against hallucinated content.

  • LangChain
  • LaTeX
BPMN

Enterprise · Orchestration

Device activation orchestration

Co-led, as team SME, a Camunda BPMN proof of concept replacing thread-based orchestration. The approach reached production.

  • Camunda
  • BPMN
Planner → Fixer

Enterprise · Agents

Vulnerability remediation agents

Orchestrator with Planner and Fixer sub-agents in Amazon Kiro, wired to Jira and GitLab and driven by a Trivy scanning loop.

  • Amazon Kiro
  • MCP
  • Trivy
  • Jira

Gmail Deleter & n8n Automation

Spec-driven Gmail cleanup with configurable filters, plus an n8n agent automating LinkedIn content generation and scheduling.

  • Gmail API
  • n8n
  • Claude Code

// Method

Spec first.
Code second.

Step 01

Structured spec

Requirements written down before anything is built, as reusable Markdown for features and AI agents.

Step 02

System design

Architecture settled in planning mode, so the implementation has a shape to follow.

Step 03

Implementation

Built with Cursor, Claude Code and Kiro, with the spec as the source of truth.

Kiro lead. Recognized as the lead developer driving spec-first practice at Charter.

Org-wide adoption. GitHub Copilot and Amazon Q rollout.

Mentoring. Coaching engineers on AI-assisted workflows.

// Stack

Tools of the trade.

AI tools and platforms

  • Amazon Kiro
  • Cursor
  • Claude Code
  • GitHub Copilot
  • Amazon Q
  • Google Antigravity

AI engineering

  • LangChain
  • LangGraph
  • Amazon Strands agents
  • MCP integrations
  • n8n workflows
  • prompt engineering

Languages

  • Java
  • Python
  • JavaScript / TypeScript

Frameworks

  • Spring Boot
  • React / Next.js
  • GraphQL
  • FastAPI

Cloud and DevOps

  • AWS Lambda
  • ECS/Fargate
  • AppRunner
  • S3
  • Docker
  • Kubernetes
  • Kafka
  • Jenkins
  • GitLab CI/CD
  • GitHub Actions

Data

  • PostgreSQL via Supabase
  • MongoDB
  • Firebase RTDB

Security

  • OAuth 2.0
  • JWT
  • secure API development
  • HIPAA compliance awareness

// Credentials

Learning, formally.

Artificial Intelligence Graduate Certificate

University of Missouri–St. Louis

Machine Learning Certificate

eCornell, Cornell University · 2024

Cybersecurity Analyst (CySA+)

Vulnerability management & threat detection

Hackathon Judge

LA Hacks 2025 (UCLA) · MHacks 2025 (University of Michigan)

Let's talk
shop.

© 2026 Manoj Reddy Ponagandla

manojponagandla.com