PROTOCOL: AI SYSTEMS
I build GenAI, automation, and cloud-native products that turn manual workflows into reliable, measurable business outcomes.
THE RACK
My technical stack visualized as a high-performance cluster. From bare-metal infrastructure to the frontend interface layer, every component is optimized for reliability and speed.
> SYSTEM_DIAGNOSTIC
- CORE_LOAD: NORMAL
- MEMORY: OPTIMIZED
- NETWORK: SECURE_MCP
DEPLOYED SOLUTIONS
Select operation mode to view projects.
Generative AI QE Solution
FastAPI and React platform built on Azure for generating test cases, Robot Framework templates, and smarter regression planning across QA workflows.
R.A.C.E.
Centralized reporting system for classifying failures, tracking defect leakage, and surfacing automation or environment issues before they hit production.
Automation Intelligence MCP
A repository-aware MCP layer that helps AI agents find the right code paths, check existing automation coverage, and recommend better test combinations.
Framework Automation
Reusable Robot Framework libraries for API validation, log analysis, and device testing that reduced regression effort and improved maintainability.
Standup Launchpad
Daily standup productivity platform that isolates speech, classifies work items, and maps updates into structured Azure DevOps tasks.
AI-assisted Resume Tailoring System
Generative AI solution that analyzes job descriptions and adapts resumes for ATS optimization and role fit.
> Identical Twin Recognition_
Research-focused computer vision system that uses Golden Ratio, geodesic distances, and transformer-based features to distinguish identical twins.
> Shape Animation Engine_
Performance-focused mini graphics engine for real-time drawing and animation using C++ and OpenGL.
SYSTEM_LOGS
Consultant
|- > Implemented Durable Functions for Azure Function Apps to support long-running agentic workflows for GenAI applications.
- > Built a local RAG pipeline using ChromaDB and embedding models with LangChain and LangGraph to improve retrieval quality and reduce context overload.
- > Developed a QE MCP Server that helps quality engineers access Azure tooling, generate XPath, retrieve manual test cases, and convert automation scripts into manual tests.
- > Expanded a Generative AI QE platform (FastAPI, React, Azure) that generates test cases, Robot Framework templates, and end-to-end coverage while saving $400,000 annually.
- > Built an Automation Intelligence MCP Server to help teams locate relevant code, detect already-automated coverage, and generate high-value test combinations with lower token usage.
- > Created R.A.C.E. (Report Classification & Analysis Engine), a centralized reporting hub for automation run analysis that identifies product bugs, script issues, and environmental problems while saving QEs 4 hours per execution cycle.
- > Integrated R.A.C.E. with a self-hosted Healenium instance to manage locator self-healing from a single platform and reduce maintenance costs by $14,000/year.
- > Delivered Standup Launchpad, a full-stack planning assistive platform that uses speech isolation, semantic processing, AI summarization, and Azure DevOps mapping for standups and task tracking.
- > Developed a self-hosted distributed mobile cloud solution for Appium-based device testing, enabling scalable device fleet management for retail clients.
- > Built secure secret-management utilities for Robot Framework and automated project setup workflows, reducing setup time from 2 hours to 5 minutes.
- > Led a team of 4 engineers as a Technical Lead, mentoring interns and guiding Generative AI and automation delivery work.
- > Conducted L2/L3 technical interviews to support hiring and guided project teams through practitioner-level skill development.
Associate Consultant
|- > Designed reusable automation framework libraries in Robot Framework for payment API and log validation, saving $94,000 annually and reducing regression cycle time by 90%.
- > Automated regression execution triggered by feature changes and deployed scalable test environments in OpenShift clusters.
- > Built automatic result logging from Robot Framework executions to Azure Test Plan.
- > Organized bi-monthly knowledge-sharing sessions across the account to promote innovation and collaboration.
- > Delivered Python training sessions to multiple teams to improve automation scripting capabilities.
- > Participated in hiring loops and evaluated technical skills to support strong candidate recommendations.
Senior Analyst
|- > Developed frameworks for testing POS terminals using image recognition.
- > Created a Robot Framework library for testing Azure Databricks and optimized reporting systems, reducing refresh time from 14 hours to 30 minutes.
- > Implemented a custom reporting solution that tracked live execution status for automation test cases across the project.
Analyst
|- > Automated health checks for POS terminals, reducing effort from 2 days to 10 minutes per week.
- > Implemented hardware scan automation for Zebra devices, achieving 100% automation of the manual test suite.
- > Created custom report generation in Robot Framework, reducing analysis time by 90%.
KNOWLEDGE_BASE
Technical deep dives, post-mortems, and research protocols.
From O(n) Nightmare to 30-Minute Reports
Problem:
Legacy reporting systems with repeated Azure Test Plan hierarchy traversal took 14 hours to refresh and left teams with stale automation data.
Solution:
Rebuilt the hierarchy as a keyed tree structure and removed redundant API calls, enabling direct lookups and parallel execution for the final fetches.
A Practical Guide to Setting Up Robot Framework Projects
Problem:
Teams often start Robot Framework projects without a scalable structure, which leads to brittle locators, duplicated logic, and hard-to-maintain suites.
Solution:
Designed a clean project layout with reusable resources, environment variables, data-driven testing, and CI-friendly execution patterns that scale with team growth.