Evidence Matrix // Empirical Verification
Applied AI engineering requires moving beyond subjective claims. Every metric, latency figure, and safety assertion in my systems is anchored to reproducible test suites, live benchmarks, or production event logs.
01. System Claim-to-Evidence Matrix [ 6 ]
AUDIT PROTOCOL: EMPIRICALAlgorithmic Trading & Predictive Research Agent
Capstone project for Google-Kaggle Agents Intensive with automated pytest safety verification.
Enterprise Document RAG System
Audited with Ragas framework for zero-hallucination citation fidelity and pre-loaded with recruiter demos.
AI Financial Analyst Agent
Containerized on AWS EC2 behind Cloudflare SSL with multi-step research sequences and source attribution.
Cognitive Load Balancer AI
Multi-prompt chaining pipeline enforcing execution limits and calculating task ROI.
Healthcare Appointment Assistant (MyEyeDr)
Conversational intake pipeline integrating with Salesforce to create leads and follow-up tasks.
Autonomous Agentic Evaluation & Guardrail Harness
Self-hosted full-stack LangGraph harness running in Next.js with embedded SQLite memory and deterministic guardrails.
VERIFIED CREDENTIAL ARCHIVE
14 VERIFIEDAudited course completions, academic coursework, and corporate simulations chronologically sorted by award date.

AWS AI Practitioner Challenge

DA 210 | Time Series Analysis & Forecasting

Certificate of Internship Completion: Power BI for Business

Microsoft Azure — 25 Hour Course

Cloud Administration & Engineering — 40 Hour Course

Power BI for Business Applications — 20 Hour Course

Supervised Learning with scikit-learn

Python Certificate of Completion

Data Manipulation with pandas

Introduction to NumPy

Data Analytics Job Simulation

Python Intermediate

Python Developer
