2026 - present

Working on something new. Stay tuned

Lines Of Business project:

Tag general ledger entries with LOBs like Futures, Advisory, Self Directed based on customer account type, saving FinOps ~150 manual hours per month to help them analyse, group and predict the revenue/expenses of Robinhood’s different lines of businesses.

2025 - 2026

Led Short Selling for BnR platform

Key integrations:

Books and Records (BnR) Platform – Accounting, Taxes, E-Documents, FDIC Sweep, Regulatory Reporting

Tech Stack - Python/Django, Golang, Spark, Kafka, Airflow

2025–2026

Led BnR platform integration for a new product launch - Short Selling

2024–2025

Led BnR platform integration for key product launches:

Advisory Accounts - Developed monthly fee accounting, extended account creation flow to support managed accounts, tax loss harvesting, sweep rate handling, and new e-documents.

Index Options Trading - Implemented accounting for new trading fees, e-doc display fees, and tax vendor reporting.

Joint Accounts - Enabled multi-user tax withholding and created new e-documents.

2023–2024

Regulatory Reporting merged into BnR.

Robinhood UK launch - delivering an FCA-compliant report with a summer intern using Spark. Integrated with vendor Cappitech and ensured GDPR compliance across 500+ tables.

Built a regression pipeline for CAT reports to catch regression from new code commits, enhancing system reliability.

2022–2023

Focused on Regulatory Reports: CAT, EBS, Insite, TRF

Automated EBS/Insite report validation and delivery to FINRA, saving 2 hours/day for Operations.

Price Correction Sync project - developed a new flow to report price corrections to TRF and CAT events, eliminating FINRA errors and improving compliance ratings.

Scaled TRF reporting to meet SLA during market open spikes by optimizing FIX server usage through parallelization.

Worked on Hired Assessments platform, a coding platform that companies use to assess candidates.

Full stack development with

I worked on building a multi-file coding solution as opposed to candidates building a single file solution, across 25+ languages. This allows candidates to build modules and libraries.

Full Stack Engineering & Data Engineering

Designed and built an Authentication serverless microservice with AWS services - API Gateway, Lambdas and Cognito - https://anshilbhansali.com/article/Technology/2020-10-01%2018:33:25

Worked on building a bidirectional ATS system within the Vettery application to sync candidates data with a client's Greenhouse or Lever account.

Worked in a team to build a scalable workflow orchestration system to run periodic batch jobs at scale using Apache Airflow, Docker, AWS Batch and ECR. - https://anshilbhansali.com/article/Technology/2020-06-11%2021:43:02

Built an API that parsed the raw text of a job description, and converted that into a search query into Vettery's candidate search system. This improved the candidates sign up process making it more seamless.

Full stack engineering

Languages - Python, Javascript

Frameworks - Flask, React, AngularJS

AWS services - EC2, Cognito, API Gateway, S3

Datastores - MySQL, Elasticsearch

Technologies - Docker, Airflow, Celery, Redis, Apollo GraphQL

Data Engineering

Languages - Python

Technologies - Airflow, PySpark, Databricks (Azure), Docker

AWS services - Batch (ECS Fargate), ECR

Datastores - S3, MySQL, Elasticsearch

Full stack engineering with:

Improving some internal tools to increase productivity for operations folks.