EVIDENCE DOSSIER
// PRODUCTION DEPLOYMENTS & ARCHITECTURAL CASE STUDIES · SECTION 04

Flagship Systems & Production Impact

Technical architecture breakdowns of production systems, projects, and repositories this candidate has attached to their dossier.

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SYSTEM 01 // PROJECTROLE: FEATURED PROJECT

MediBot.AI - Medical Chatbot with RAG + Document Analysis

Engineered a RAG based chatbot using LLaMA 3.1 (via Groq API), building a custom vector store of 4800+ text chunks from a 750+ page medical encyclopedia. Built a hybrid retrieval system combining custom BM25 keyword scoring with cosine similarity-based semantic search. Implemented OCR-based document analysis (Tesseract + PyPDF2) for uploaded blood reports and prescriptions, delivering AI-generated summaries with abnormality detection.

TechnologyLLaMA 3.1
StackGroq API
PlatformBM25
OutcomeAchieved ~17ms avg query latency and reduced manual review time by estimated 60%.Self-reported
Metric 02—Pending
Metric 03—Pending

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SYSTEM 02 // PROJECTROLE: FEATURED PROJECT

Cloud Data Lake Architecture using AWS (Serverless ETL Pipeline)

Deployed a serverless AWS data lake (S3, Glue, Redshift Serverless) with automated ETL pipelines to transform raw CSV logs to Parquet format. Executed SQL workflows on Redshift, built QuickSight dashboards, and implemented secure IAM role configurations and encryption.

TechnologyAWS S3
StackAWS Glue
PlatformAWS Redshift Serverless
Metric 01—Pending
Metric 02—Pending
Metric 03—Pending
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// RECRUITMENT & ADVISORY ENGAGEMENTS

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Full verification packet containing source artifacts, production traces, and formal proofs available for prospective leadership roles once attested.

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