# Idrees Kamal

Applied AI, AI operations, and workflow automation. Chicago, Illinois. Seeking remote work.
Contact: ikamal97@gmail.com | https://www.linkedin.com/in/idreeskamal

Current role: AI & Automation Engineer, JDA TSG, March 2026-present. Northwestern B.S. Computer Science (2020).

## Reliable employee data. Controlled changes.
JDA TSG / ENTERPRISE OPERATIONS | Production integration

I led the integration work: lifecycle routing, identity matching, source write-backs, exception handling, test design, controlled correction waves, and destination verification.

Delivered the core production sync and verified corrections across hundreds of employee records. Correction cohorts overlap and are not added together.

Limitations: This describes delivered capability and verified corrections, not quantified labor savings or a claim that every reconciliation exception was closed.

Case study: /case-study/hr-integration

## Give people a way to use AI well.
JDA TSG / AI ENABLEMENT | Adoption infrastructure launched

I developed the learning hub, prompt assets, role-based learning paths, community operations, and launch communications. I also designed measurement and rollout criteria.

Launched the learning hub and community infrastructure for an intended company-wide program of approximately 300 employees.

Limitations: The population is the intended program scope, not a count of active users or completed training. Adoption rates and business impact have not been established in this case study.

Case study: /case-study/ai-adoption

## Help clients see what they are buying.
KAVALIER / CUSTOMER EXPERIENCE | Used in the sales workflow

I selected the sales problem, designed the customer workflow, and built the application with AI coding tools. I owned integration, debugging, and verification.

The lookbook became a primary tool in the clothing sales process. Clients could discuss concrete visual options instead of relying only on swatches.

Limitations: The evidence supports real workflow use. No controlled conversion lift or exact revenue attribution is claimed.

Case study: /case-study/lookbook

## Surface the blocker before the handoff.
INDEPENDENT PROJECT / APPLIED AI | Reference prototype

I selected the problem, built the prototype with Codex, defined structured output and citation checks, and created deterministic safeguards and reference scenarios.

Built a reference walkthrough with six readiness checks, conflict and missing-evidence scenarios, structured output, and six passing deterministic safeguards in the September 4 review.

Limitations: This is an independent prototype, not an Owner product or a production deployment. Live model evaluation was blocked by API credits in the last recorded test; reference examples are hand-authored, not model outputs.

Case study: /case-study/launch-readiness

## Build the systems. Run the business.
VICEGERENT / BUSINESS OPERATIONS | Delivered operating systems

I migrated customer records, connected booking to the CRM, rebuilt the website, and ran sales and daily operations solo for substantial parts of the year.

Migrated more than 750 client files. Recorded solo sales were approximately $57,600 across 36 clients during the 2022–2023 reporting period. Website engaged sessions increased from 1,878 to 3,281 in the recorded comparison.

Limitations: Solo revenue reflects personally handled business, not incremental revenue attributed to automation. The web comparison does not establish a causal experiment.

Case study: /case-study/vicegerent

## Scope and skills
AI-assisted development with ownership of review, debugging, and verification. TypeScript, React, Next.js, REST APIs, Make, Power Automate, Zapier, Microsoft 365 Copilot, SharePoint, Teams. SQL foundational. No production ML, fine-tuning, or large engineering-team leadership claimed.

Prior work: Deloitte Business Technology Analyst (2020-2022), supervised three junior BAs; Oliver Wyman Senior Consultant (March-June 2022), short engagement; Vicegerent (June 2022-September 2024); Kavalier operating period (September 2024-December 2025). Devlos co-founder, part-time since August 2026: insurance workflow discovery and scope development, no realized client ROI claimed.