Workflow Automation • Systems Validation • Enterprise Integration

AUTOMATE.
INTEGRATE.
VALIDATE.

I design workflow systems and ensure they work reliably in production by connecting automation logic, routing decisions, validation layers, integrations, dashboards, and operational troubleshooting into measurable enterprise systems.

My edge: I understand workflows, failures, and operations together.

Explore System Case Files View Engineering Lab

3+ Years Experience

5 Experience Layers

20+ Tools & Platforms

Prod Validation & Debugging

Hello, I'm

SAI SRI VASTSAV KOKKIRALA.

Workflow Automation & Systems Engineer focused on enterprise workflows, routing logic, systems validation, and operational troubleshooting.

Input

Validate

Route

Integrate

Monitor

System Case Files

Systems Built, Modeled & Improved

CASE FILE 01

AI Portfolio Publisher & Website Updater v2

Manual portfolio updates are repetitive and time-consuming, involving documentation, GitHub uploads, and website edits.

Form submission captures structured project details.
A Code node prepares a controlled Gemini API request.
Gemini generates portfolio-ready content in structured JSON.
A parser extracts the AI output and keeps the original form data.
n8n generates README.md, setup-guide.md, workflow-summary.md, linkedin-post.md, and workflow.json files.
The project files are uploaded to the n8n portfolio GitHub repository.
The workflow retrieves the portfolio website index.html file from GitHub and decodes the base64 content.
A website project card is generated using AI-supported content.
The card is inserted or updated in the System Case Files section using project-specific HTML markers.
A new GitHub branch is created.
The updated index.html file is committed through the GitHub API.
A pull request is created so the website update can be reviewed and merged manually.

Significantly reduces manual effort, standardizes documentation, prevents duplicate website entries, and ensures a controlled review process for website updates.

Error handling is implemented for API calls and file operations. The GitHub pull request mechanism allows for manual review and correction of website updates before merging.

n8n Gemini API GitHub API

CASE FILE 01

HR Approval Automation Engine

Manual HR approval workflows lacked visibility, consistency, and structured tracking.

Input: Employee leave and HR requests
Process: Employee → HR → Manager → Lead approval chain
Routing: Fixed sequential workflow path
Validation: Request fields, approval status, records
Output: Teams alerts, email notifications, dashboards

Standardized approvals and improved visibility across HR operations.

Failure insight: no conditional routing meant complex cases still moved through the full chain.

Power Apps Power Automate Dataverse SharePoint Power BI

CASE FILE 02

Routing Logic Optimization System

Contact center workflows required structured routing, queue logic, and SLA-focused flow testing.

Input: Customer calls and chat interactions
Process: Architect-style flow mapping and sandbox testing
Routing: Queues, skills, business rules, escalation paths
Validation: SLA, AHT, FCR, flow behavior checks
Output: Improved routing visibility and operational metrics

Supported routing improvements for service efficiency and customer handling.

Failure insight: incorrect routing logic can silently damage SLA performance.

Genesys Cloud Architect Flows Queues Skills SLA

CASE FILE 03

API Workflow Orchestration Layer

Workflow systems needed structured request handling, validation, and system-to-system communication.

Input: API requests and workflow payloads
Process: Request validation and workflow execution
Routing: Endpoint-based workflow handling
Validation: Required fields, status, response checks
Output: Structured responses and workflow records

Modeled API-driven workflow integration patterns for enterprise automation.

Failure insight: weak validation creates downstream workflow noise.

Python Flask REST APIs Validation Workflow Logic

CASE FILE 04

System Validation & Troubleshooting Playbook

Production systems require repeatable diagnostics, firmware checks, and documented failure patterns.

Input: Server failures, alerts, logs, test outputs
Process: Debug analysis, part inspection, firmware verification
Routing: Repair path, escalation, QMS documentation
Validation: BIOS/BMC versions, Linux/Windows logs, test results
Output: Root cause notes, repaired systems, guidebooks

Improved troubleshooting consistency through repeatable validation and documentation.

Failure insight: repeated issues must become playbooks, not tribal knowledge.

Linux Windows Logs Firmware BIOS/BMC QMS

Workflow Design Model

How I Think in Systems

My work sits at the intersection of business process, system logic, failure handling, and operational feedback loops.

01 INPUT

Employee requests, customer calls/chats, server failures, logs, tickets, and operational events.

→

02 PROCESS

Validate fields, inspect status, check rules, analyze logs, and identify failure conditions.

◇

03 ROUTE

Route work to approvers, queues, skills, HR, managers, engineers, or troubleshooting paths.

→

04 INTEGRATE

Connect Power Platform, Genesys Cloud, REST APIs, SharePoint, Dataverse, dashboards, and tickets.

→

05 ANALYZE

Track SLA, AHT, FCR, leave trends, test logs, validation records, and recurring issue patterns.

●

Failure Detection

Identify failed approvals, incorrect routing, firmware mismatches, server test failures, and repeated operational issues.

◇

Root Cause Analysis

Use logs, QMS records, system status, test outputs, sandbox testing, and process traces to isolate where the issue started.

→

Documentation Loop

Convert repeated failures into guidebooks, validation steps, troubleshooting notes, and reusable playbooks.

Experience Architecture

Professional Experience Timeline

03/2026 – Present

Quanta

Production Test Engineer • Systems Testing & Validation

Execute system-level server testing, firmware validation, hardware diagnostics, Linux/Windows debug log analysis, QMS documentation, and production failure escalation.

Validate enterprise server products against engineering and quality requirements.
Analyze debug logs and system outputs to identify performance or hardware issues.
Support BIOS/BMC firmware validation and recurring defect documentation.

06/2025 – 02/2026

CORtracker 360

Information Systems Engineer

Built workflow automation solutions using Genesys Cloud Architect, REST API integrations, OAuth 2.0, KPI dashboards, Jira/ServiceNow tickets, and GCP administration.

Supported workflow automation and routing logic for enterprise operations.
Built dashboards monitoring 200+ daily interactions and operational metrics.
Troubleshot configuration issues and workflow failures with engineering teams.

09/2024 – 06/2025

Career Nexta

Information Systems & Data Developer

Queried datasets using SQL/MySQL, built Python data workflows, performed validation, trend analysis, variance analysis, and developed Power BI/Tableau dashboards.

Built operational reporting workflows using Python, Pandas, and NumPy.
Validated structured datasets for reporting accuracy and issue resolution.
Created dashboards for KPI monitoring and business performance reporting.

03/2022 – 08/2022

CyberEye Research Labs

Low-Code Application Developer

Developed workflow-driven applications using Power Apps, Power Automate, Dataverse, SharePoint, Visio, Lucidchart, and technical process documentation.

Designed low-code workflow applications for business process automation.
Configured Dataverse and SharePoint for structured data management.
Created workflow diagrams and process maps for implementation clarity.

09/2021 – 03/2022

Navstar Integrated Systems Pvt. Ltd.

Systems Validation Engineer

Performed validation testing for wireless communication systems, AM modulation and demodulation, encrypted signal transmission, Arduino, Raspberry Pi, and signal analysis.