Abdeali Chandanwala

Built a 2TB+ AI RAG system (Python/Angular/LLMs) for Marathi editorial workflows, enabling article summarization, validation, and publication in hours vs. days. Delivered end-to-end AWS deployments (Node.js/React/EC2) and designed N8N automation so non-technical stakeholders can retrieve data and generate reports independently.

Owned an investor alert service that parsed portfolio expressions against live NSE data, evaluating thousands of logical checks per minute with sub-millisecond latency for 500+ active traders. Engineered real-time market data pipelines and payment gateway state machines (Paytm/Cashfree/PhonePe) with zero-downtime deployments, and redesigned the FCM notification pipeline to reduce DB reads 90% and

Maintained Python and JavaScript backend services post-acquisition, ensuring parsing accuracy, data integrity, and API reliability during platform consolidation.

Refactored the Wealth Basket product filter by improving expression evaluation from O(n²) to O(n) in AWS Lambda, maintaining SLAs under heavy load for large in-memory datasets. Built Paytm payment gateway integrations with a push-based event model and subscription lifecycle state machine, delivered an Adviser Admin Panel (Angular/TypeScript), and improved SEO from 20% to 80% using AWS CloudFront E

Rebuilt back-office trade APIs in PHP/Laravel and used SQL Sniffer to identify slow queries, then refactored backend data access logic to improve performance.

Master's in Management (IT) at the University of Mumbai from 2012 to 2014.

Bachelor of Science in Information Technology at the University of Mumbai from 2008 to 2011.