Ayoush Kumar

KYC Verification Platform – Autonomous KYC Document Processing: Developed a scalable, asynchronous microservices-based KYC platform integrating OpenCV + DONUT OCR, yielding 5,000+ docs/day automated verification and reducing turnaround time by 70%. Image pre-processing via YOLOv8, Roboflow, OpenCV, raising OCR accuracy by 25% and minimizing manual work by 80%. Field-specific resilient data parsing and validation service utilizing advanced checksum algorithms, rule-based regex patterns, and anomaly detection mechanisms validated 40+ key fields to ensure GDPR/AML compliance. Bank Statement Analysis — Extraction & Purpose Classification (RAG Automation): Designed & Engineered a bank statement analysis platform using PDFPlumber & open-source tools supporting across 150+ distinct bank, converting unstructured bank statements into CSV files, resulting in 99.46% data extraction precision. Implemented a full CI/CD automation flow via Bitbucket Pipelines with integrated Cythonization, Dockerization, and cloud deployment. Built a RAG-Pipeline using ColBERT, FAISS, and Llama 4 Maverick (AWS Bedrock) to automate multi-class token annotation across 45 distinct labels. SM Chatbot — Dual-Mode Sem

Coordinated a high-profile materials science conference with over 30 professors & PhD students, establishing collaborative environments for workshops & live presentations. Participated in discussions and examined research materials, enriching offline interactions.