Headline

Backend Engineer at Branch International | IIIT Nagpur

About

I'm an experienced software engineer with expertise in developing RESTful APIs, deploying cloud-based architectures, and building data-intensive applications. I'm skilled in machine learning and artificial intelligence, and I excel at collaborating with cross-functional teams to deliver high-quality software products. I'm always seeking new challenges that allow me to learn and grow as a professional.

Location

Bengaluru

AI stack

claude code

codex

hermes agent

claudecode

ChatGPT

Work experience

Back End Developer at Branch International, Aug 2023 - Present · 3 yrs 1 mo, Remote, Built a Maker-Checker approval framework enforced across 13 critical admin workflows; adopted by 3 additional teams within 6 months Reduced account takeovers ~40% by engineering a New Device Login system with device fingerprinting, token rotation, and step-up auth across 1M+ active users — driving ~USD 500/week in fraud loss reduction Architected a configurable Fraud Detection Framework with a rule-engine and real-time scoring across 4 signal feeds; cut false-positive rate 25% Delivered a full-stack RBAC system consolidating 12 permission models; reduced access-request resolution from 3 days to 4 hours Prevented ~3,000 unauthorized debit transactions/week via Post-No-Debit enforcement across Nigeria wallet flows Built end-to-end PII Tag Governance system masking 41 recurring fields, with RBI audit compliance

Software Engineer at Apple, May 2021 - Aug 2023 · 2 yrs 4 mos, India, Apple Maps via ThBuilt automated data-quality monitoring pipeline for Maps Data Engineering, cutting validation time 487% across 50M+ daily records Designed a relevance-ranking feature for data attributes; increased downstream team throughput 50% and improved Maps POI accuracy Reduced manual pipeline interventions ~60% and lifted SLA compliance from 91% to 98.5% via ingestion toolchain automationoughtgenesis

SDE Intern at Stride.ai Inc, May 2020 - Dec 2020 · 8 mos, India, Built ML table-extraction pipeline across ~5,000 files, improving extraction efficiency 20% Developed Node.js data-mining tool processing 50,000 records/day Reduced ETL runtime from 90 to 40 minutes via Python pipeline optimisation

Intern at CSIR- Unit for Research and Development of Information Products (URDIP), May 2019 - Jun 2019 · 2 mos, Using Data Science to scrape clean and obtain data.

Education

Bachelor of Technology, Computer Science, IIIT nagpur

KV F.R.I. , DEHRADUN,UTTRAKHAND, INDIA

Public links

github: https://github.com/aishitdua