Ganesh

About

DevOps and Cloud Infrastructure Engineer specializing in Kubernetes orchestration, Terraform automation, and CI/CD pipeline engineering across AWS, Azure, and GCP. Delivered 30% faster deployments and cut API latency from 500ms to 150ms at Validus Fintech. Build Kubernetes platforms with GitOps delivery via ArgoCD and Helm, plus an AI-driven self-healing Kubernetes operator with Slack-based human-in-the-loop approval.

Experience

Software Engineer, DevOps — Tata Consultancy Services

Azure infrastructure and CI/CD for an enterprise banking client. Apr 2026 – Present.

Data Engineer, DevOps — Cogent Cube

AWS pipeline infrastructure with Terraform, Kubernetes, and Prometheus. Jul 2025 – Apr 2026.

DevSecOps Engineer — Validus Fintech

Increased deployment rate 30%, cut API response from 500ms to 150ms, reduced cloud costs 20%. May 2022 – Jul 2023.

Research Associate — IIIT-Hyderabad

Python pipelines scraping 15,000+ pages; BERT and Word2Vec embeddings for NLP. Jan 2021 – May 2022.

Software Development Intern — Rekall Software

Python build automation and Java backend services. Apr 2018 – Jan 2021.

Projects

Kubernetes AI Healer — Self-Healing Operator

Prometheus alerts trigger Groq LLaMA 3.3 70B root-cause analysis, with a Slack approval gate before any remediation runs.

View Code →

Kubernetes GitOps & Observability Platform

Modular Terraform cluster platform with ArgoCD and Helm GitOps delivery, RBAC, HPA, and a Prometheus/Grafana stack.

View Code →

Kubernetes Ops AI Assistant (RAG Chatbot)

RAG pipeline over Kubernetes docs using LangChain, OpenAI embeddings, and Pinecone, served via FastAPI and Streamlit.

View Code →

Heart Disease Prediction at Scale

PySpark pipeline across 250,000+ BRFSS records — 91% accuracy, 0.88 weighted F1 with Random Forest.

Contact

gsdontineni1998@gmail.com