Presentation
In my current role, I built and own a document-processing platform that turns scanned and digital financial documents (bank statements and 50+ other document types) into clean, structured data for banks and lenders. It processes thousands of documents a day and cut manual work by about 85%. Before that, I built FastAPI microservices for an enterprise platform that migrates security data from Splunk to Elastic, reducing manual migration effort by about 70%.
What I can do for you:
• Extract data from PDFs, scans, and images into Excel, JSON, or your database
• Build fast, reliable REST APIs and backends with FastAPI, Django, or Node.js
• Build full-stack web apps with React and Next.js
• Add AI features: face recognition, vector search, NLP
• Automate repetitive work: report generation, bulk messaging, data pipelines
How I work: agreed scope and milestones up front, regular progress updates, clean documented code, and Docker-ready deployment. I'm based in India (IST) and can overlap with Europe, Middle East, and US working hours.
Message me with what you want to build. I'll reply with a plan and a quote
Background
• Designed a fault-tolerant extraction pipeline (PyMuPDF, PyPDF2, OpenCV, ML models) that handles low-quality scans, inconsistent formats and noisy OCR, cutting manual intervention by ~85%.
• Architected the core financial analysis engine in Python/Django computing MIS summaries, cashflow, balance, EMI and risk indicators for underwriting, processing thousands of documents per day.
• Implemented a configurable Excel/JSON reporting layer aligned with lender MIS and integration needs, reducing document-to-decision time from hours to minutes.

