Ahmed Shabab Noor

Software Engineer III @ Fin.com
ashababnoor@gmail.com | ashababnoor | ashababnoor | Ahmed Shabab Noor | ashababnoor.github.io
Summary

Software Engineer specializing in scalable backend systems, data platforms, and advanced analytics. AI-native engineer who builds fast across any domain. Skilled in building robust pipelines, ML solutions, and data-driven applications to deliver actionable insights. Expert in Go, Python, SQL, dbt, BigQuery, and cloud-native technologies. Published researcher with 4 peer-reviewed papers at IEEE and Springer conferences. Passionate about exploring new technologies and solving complex engineering challenges.

Experience

Fin.com

Stablecoin powered global payment infrastructure
Software Engineer III Dec 2025 - Present
  • Early engineer building core backend services from the ground up, leveraging AI-driven development for rapid delivery.
  • Built a double-entry bookkeeping ledger microservice from scratch with SHA-256 hash chain balance integrity and transaction processing engine supporting deposits, withdrawals, and automated reversals with balanced journal entries.
  • Built RBAC system with 3-tier role hierarchy, Redis-cached permission resolution, complete team management with member and invitation lifecycle, capacity enforcement, and cross-organization duplicate prevention.
  • Built a reverse proxy layer enforcing scope-based access control and environment isolation on all API traffic to the core orchestration service. Extended auth to support dual-path onboarding.
  • Built internal API gateway for secure external financial API calls (payments, remittance, KYC) with per-user service ACLs, sensitive endpoint blocking, cryptographic request signing, and hot-reloadable Consul-based configuration.
  • Designed cross-currency fee calculation engine with bidirectional calculation (forward/reverse mode) and extended batch payment processing with fixed-point arithmetic and commit-time validation against live FX rates.
  • Integrated partners for virtual account provisioning and payout disbursements across USD, AED, EUR. Built webhook handlers for customer/transaction events and poll-based virtual account watcher with atomic state transitions.
  • Built automated trade settlement reporting system aggregating trade data into CSV exports on configurable cron schedule, delivered via AWS SES.
  • Built Kafka event-driven messaging infrastructure with Protobuf serialization, establishing the async inter-service communication backbone across the platform.

Pathao

On-demand digital platform and mobility company
Data Engineer II Jul 2024 - Dec 2025
  • Designed and developed a dynamic funnel analytics system merging data from Firebase, Pub/Sub, and transactional DBs with deduplication at user-second granularity. Processes 500M+ data points, saving ~$400K USD annually vs. market alternatives and 120+ man-hours/month.
  • Completely redesigned and rebuilt the transliteration system as a standalone Go library with bidirectional Bangla-English support. Integrated into Food Search (15.3x more Bangla coverage, 15.1x more order confirmations) and Ride Location Search (78.8% to 96.2% Bangla coverage).
  • Developed personalization microservice in Go with preference algorithms for food home-screen restaurant collections, reducing checkout navigation time by 32.53%. Built ETL pipelines for preference data and user profiles with smart caching.
  • Built food search auto-suggestion POC, data pipelines for restaurant/dish/cuisine features, and performance benchmark dashboards for KPI tracking.
  • Applied genetic algorithm to optimize string matching weights for address parsing, increasing area-level coverage by 2%. Enhanced missing place finder with multi-token support and rich notifications.
  • Upgraded address history pipeline integrating partial orders data, adding ~2.7M new users' addresses and ~20M total addresses.
  • Developed driver location ping analysis tools with map visualizations. Created monitoring dashboards for ETL pipelines and system health.
Data Engineer I Mar 2023 - Jun 2024
  • Designed and implemented ML models for ETA prediction in Dhaka and Chittagong, improving Chittagong's within-threshold rides from 20% to 60%. Built specialized holiday ETA models and comprehensive debugging dashboards.
  • Contributed to address parsing service using customer historical data, improving hub-level coverage by 10%, accuracy by 1.5%, and overall accuracy by 7.5% (saving ~102K BDT/month). Optimized Redis storage reducing memory by 72%, saving $120/month per VM.
  • Developed Bangla-to-English transliteration algorithm improving hub-level coverage by 8%, district-level by 1%.
  • Built missing place finder using NLP on user address data, discovering 784 new landmarks in 2 major cities.
  • Redesigned Firebase user behavioral data pipeline with dbt models processing 50-60M rows/day across multiple app sources.
  • Conducted A/B test analysis on engagement metrics and Google Maps vs internal ETA, identifying $1K/month and ~$6K/month potential savings.
  • Managed fraud detection systems; developed ML solutions for address deduplication; built reusable dbt data models focused on quality and scalability.
Data Engineering Intern Oct 2022 - Feb 2023
  • Developed first-ever ML solution for ride pickup ETA prediction for Dhaka city.
  • Built CLI tools for data dictionary workflows and log management. Researched data governance solutions (column-level access, tagging).
  • Contributed to in-house map system enhancements and worked on fraud detection using ML.
Technical Skills
Languages: Python, Go, SQL, JavaScript, TypeScript, Java, C, Bash
Cloud & Infra: GCP, AWS, Docker, Kubernetes, Helm, Kafka, Consul, GitLab CI, GitHub Actions
Data & Analytics: BigQuery, dbt, Redash, Looker Studio, Tableau
Databases: PostgreSQL, MySQL, Redis, Neo4j, Firebase
ML & Data Science: Pandas, NumPy, Scikit-learn, Matplotlib, Plotly
Tools: Git, VS Code, JetBrains IDEs, Postman, Jira, Notion
Education

United International University

Sep 2019 - Jan 2023
Bachelor of Science in Computer Science and Engineering
Publications
Attention-Based Scene Graph Generation: A Review. IEEE SKIMA 2022.
A novel method for imbalanced data classification based on label reassignment. IEEE TENCON 2022.
Diabetes Mellitus prediction using Transfer Learning. Springer MIET 2022.
The impact of data locality on the performance of cluster-based under-sampling. Springer MIET 2022.
Achievements
Prof. Jamilur Reza Chowdhury Championship Award — Bangladesh Blockchain Olympiad 2024 Sep 2024
Summa Cum Laude Academic Honor — 6th Convocation, United International University Feb 2024
References
1. Abdullah Ibn Anwar
Senior Vice President
Engineering
Pathao Limited
abdullah.anwar@pathao.com
abdullahibnanwar
2. Prof. Dr. Dewan Md. Farid
Dean and Professor
Department of CSE
Southeast University
dewanfarid@seu.edu.bd
+880 1715-833499
3. Dr. Suman Ahmmed
Head and Associate Professor
Department of CSE
United International University
suman@cse.uiu.ac.bd
+880 1765-049901