- Developed and deployed MVP for Finbox, working as a sole engineer directly with founders.- Worked on product ideation and prioritization, with keen focus on business outcomes.- Established engineering standards and DX for development operations.- Developed email ingestion pipeline to integrate product with with customer’s inboxes.- Parsed emails and attachments using AI to adequately preprocess them for users.- Developed integrations with ERP and CRM to enrich UI with context relevant data.- Developed CI / CD pipeline for quick prototyping and rapid integration.- Designed and developed application data model and API interface.- Designed and developed client side application.

- Developed APIs and UI to serve machine learning predictions on potential fraud.- Actively worked with customers, product and design to spearhead product initiatives and developed them form 0 or 1. Aggressively iterating on user feedback.- Ideated and prototyped self-serve sign up workflow.- Developed business verification service and user interface.- Developed regulatory filing service end to end.- Improved UI / UX for many modules throughout the application.- Improved DX for React app by standardizing usage of: Redux-Toolkit, React Testing Library, React Query and Typescript.

- Developed Progressive WebApp for eMAR to be used in fast paced medical setting.- Application is capable of seamlessly performing in online / offline mode.- Developed resilient event streaming workflow to ingest large amount of data.- Designed API interface and data model for scheduling of medical staff.- Managed Single Sign On between various applications using HTTP-Only cookies.- Developed client side application using state of art frameworks / libraries, delighting users.- Contributed in breaking down user stories and translating to application development framework and improving User Experience.

- Developed client application for portfolio monitoring dashboards for executive management. Designed dashboards to efficiently access required datasets using Spark and Parquet files.- Developed React App and REST API endpoints for mortgage sales team to access real-time mortgage credit risk estimates.- Employed effective use of unit-testing in model and app development processes.- Created high performance simulation model to estimate risky scenarios in economy. Using Cython (compiling Python code using C compiler), reduced model runtime from 43 hours to 7 minutes.- Created high performance machine learning model to optimize Risk Adjusted Return on Capital (RAROC) for commercial loans. Code is written in a manner to extract most efficient performance from available resources (RAM and CPU – multiple cores) and converge to solution in least amount of time.- Automated execution of loss forecasting model, using shell scripts (Bash) and Excel / VBA frontend. Making it easier to keep track of ingested data, output files, and model log files.

- Created UNIX/BASH scripts to automate monitoring of database failures, reducing the failure response time by 90%.- Automated SQL procedures to change customer information in the database, reducing human effort by 95%.- Created UNIX shell scripts to efficiently manipulate data in various databases reducing load time by 50%.