AI Agents · Web & UI · Cloud · DevOps · Automation · Security
I build and run all of IT.
In plain words: I make technology faster, safer & cheaper — and automate the boring parts.
Sankeerth Bussa · Cloud, DevOps, automation, security & software — one engineer across the whole stack. 📍 Hyderabad, India
the short version
Most technology isslow, fragile, and full of manual work.I make itfast. reliable. self-running.
No jargon needed. If your business runs on technology, I'm the person who makes that technology dependable, secure, and quietly efficient in the background.
the frontier · my sharpest edge
AI that actually does the work.
My newest and strongest focus. I combine everything I know about cloud, code, and automation with modern AI — building agents and tools that turn plain instructions into real, completed work.
Building AI agents
I build AI assistants that don't just chat — they take real actions and finish the job.
// tech: Autonomous agents that reason, plan, call tools, and complete multi-step tasks end-to-end.
MCP integrations
I connect AI to your real systems so it can look things up and act — safely and in context.
// tech: Wiring LLMs to live tools & data through the Model Context Protocol (MCP).
AI tool calling
I let AI press the right buttons — running tasks across the tools you already use.
// tech: Function / tool calling that lets models trigger APIs, scripts, and workflows reliably.
AI-powered automation
I use AI to handle the repetitive work that used to need a person watching over it.
// tech: Folding LLMs into cloud & DevOps pipelines for self-running, self-explaining operations.
Local & private LLMs
I can run AI privately on your own machines — no data leaves, no per-use cloud bills.
// tech: Self-hosting open models (Ollama / llama.cpp / vLLM) for offline, private, no-cost inference.
Web apps & UIs, built with AI
Need a website or app? I design and ship polished, modern web interfaces — fast. (You're looking at one.)
// tech: Shipping modern, responsive front-ends (Next.js / React / Tailwind) end-to-end with AI as my pair.
ai work · things I build
AI that ships real work.
Agents, assistants and tools I build — putting AI to work on real cloud, DevOps and software problems.
Design-Forward Web Apps
Polished, animated websites and portfolios — like this very site — designed and shipped end-to-end with AI as my pair.
MCP Tool Server
An MCP server that safely connects AI assistants to internal tools, APIs and data — so agents can act, not just answer.
Cloud Ops Agent
An autonomous agent that triages alerts, investigates cloud issues, and runs safe, approved remediations across AWS.
Runbook RAG Assistant
A retrieval assistant over internal docs, Confluence and runbooks — instant, sourced answers instead of hunting through wikis.
Natural-Language AWS CLI
Ask for AWS operations in plain English; the agent turns them into safe, audited commands. Evolved from my hackathon-winning CLI.
ChatOps Assistant
A Slack/Teams bot that answers questions and runs approved actions through LLM tool-calling — ops without leaving chat.
Private Self-Hosted Assistant
A ChatGPT-style assistant running on local models — fully private, offline-capable, and free of per-use cloud costs.
AI Log & Alert Analysis
LLM-assisted analysis of Splunk logs and alerts — turning noisy signals into clear, prioritized, human-readable insights.
PR Review Agent
An agent that reviews pull requests, flags risks and security issues, and suggests fixes before a human even looks.
Streamlit AI App
Interactive AI web apps in Streamlit — putting agents and LLM workflows in front of non-technical users.
Representative of the AI systems I design and build.
what that means for you
Six ways I make technology work for you.
Whether you're hiring, consulting, or just curious — here's the value, in plain English.
Faster
I get new technology up and running in hours instead of weeks by automating the manual setup.
Cheaper
I cut waste and right-size systems so the technology bill goes down, not up.
Safer
I find and fix security risks before they turn into expensive, headline-making problems.
Reliable
I build systems that keep running — so teams aren't woken up at 3 a.m. when something breaks.
Automated
If a task is boring and repetitive, I make a computer do it — perfectly, every single time.
End-to-end
Servers, security, and the software on top — one person who covers the whole picture.
scene 01 · the cloud city
I run infrastructure at real scale.
Across four years of cloud engineering at Invesco — and now as a Custom Software Engineering Specialist at Accenture — I architect and operate AWS estates built entirely as code: provisioned with reusable Terraform, wired through CI/CD, and hardened for security and compliance.
Every tower in this skyline is a cluster. The camera is diving into a city I keep running.
Microservices supported
apps kept running smoothly
EKS clusters maintained
live environments under my care
Years in production
real systems, not theory
Tools & platforms
technologies I work across
scene 02 · the journey & the impact
A track record of real outcomes.
From cloud engineering to custom software — automation, savings and reliability, measured.
Faster infra provisioning
new systems ready in hours, not days
Less patching time
updates that used to take all day
Standards compliance
meets every security rule
Annual cost saved
smarter tooling & cleanup
Custom Software Engineering Specialist
● NOWAccenture · Hyderabad, India
Designing and building custom software and cloud-native solutions for enterprise clients as a Custom Software Engineering Specialist.
Bringing AI, automation, and full-stack engineering together to deliver production software end-to-end.
Applying deep cloud, DevOps, and Kubernetes experience to ship reliable, secure systems.
Advanced Engineer, Cloud Solutions
Invesco · Hyderabad, India
Led multiple cloud disaster recovery exercises and 4 end-to-end DR drills, closing process gaps for real regional-outage readiness.
Championed cyber crisis preparedness — leading Palo Alto Unit 42 and AWS SCRaM initiatives for the Cloud org, with formal recognition from security leadership.
Drove AI adoption: GitHub Copilot rollout, an Amazon Q POC across IDE & CLI, and a custom AI-powered observability web app that reduced MTTR.
Engineer II, Cloud Solutions
Invesco · Hyderabad, India
Provisioned and maintained 50+ EKS clusters with isolated namespaces via Terraform; led multi-version upgrades with a 100% success rate and 0 production issues.
Saved $116K+ annually — $36K (K9s over Lens), $60K (Podman over Docker) and $20K (cluster cleanup) — through smarter tooling and cost optimization.
Automated the stack: EKS patching pipeline (Python/Bitbucket, 100% compliance), AWS Health notifications (Lambda/SNS), and ServiceNow change automation (−90% effort).
Hardened security with IRSA least-privilege access, CI/CD container scanning, and a 30% cut in 30-day-old critical vulnerabilities.
Primary Kubernetes SPOC — mentored engineers, ran training, won a cloud hackathon (Python AWS CLI toolkit), and mentored in the WIT Tech Guru Program.
scene 03 · the skills constellation
Not just cloud — pick a discipline.
Filter the toolbox by the role you need. Watch the same engineer light up across every corner of IT.
A deep toolbox spanning AI and seven disciplines — one engineer who moves across all of them.
AI Agents
MCP Servers
Tool Calling
LLM Integration
Prompt Engineering
RAG Pipelines
Local LLMs
Vector DBs
Embeddings
Agent Frameworks
Context Engineering
LLMOps
AI Coding Agents
AI Observability
Evals & Guardrails
Web & UI Dev
AWS
Azure
Kubernetes
Helm
Terraform
Python
Docker
Linux
Ansible
Bitbucket
OpenShift
Podman
Confluence
Jira
Git
Next.js
React
Tailwind
FastAPI
PostgreSQL
JavaScript
Wiz
Splunk
Prometheus
Grafana
scene 04 · the certification hall
Proof, verified.
Red Hat, HashiCorp and AWS — each badge links to its live verification.
Red Hat Certified System Administrator
Aug 2022
Red Hat Certified Engineer (Ansible)
Dec 2022
Red Hat Certified Specialist in Containers & Kubernetes
Mar 2022
HashiCorp Certified: Terraform Associate (003)
Feb 2024
AWS Certified SysOps Administrator – Associate
Apr 2024
scene 05 · the research library
I also publish what I build.
Three peer-reviewed papers across IEEE and Elsevier — DevOps, MLOps and container delivery.
Deploying Hadoop Architecture Using Ansible and Terraform
5th International Conference on Information Systems and Computer Networks (ISCON)
IEEE · Dec 2021 · Mathura, India
Accelerating the Machine Learning Model Deployment Using MLOps
Journal of Physics: Conference Series, Volume 2327
4th Intl. Conference on Intelligent Circuits and Systems · Apr 2022 · Online
Automated Pipeline for the Deployment Using OpenShift
Procedia Computer Science, Volume 215, Pages 220–229
Elsevier · 2022
scene 06 · home base
Let's build something.
Hiring, consulting, or collaborating — if it runs on technology, I can help make it faster, safer, and self-running. One message away.
Sreenidhi Institute of Science and Technology
Hyderabad, Telangana, India
B.Tech, Electronics & Computer Engineering