Hamza Abubakar Kheruwala

Software Engineer

I build systems that scale—and still behave on a Monday morning.

About

Hamza Abubakar Kheruwala

I'm Hamza — the kind of person who's happiest with a hard problem, a clean plan, and a strong cup of coffee (or two).

I'm big on consistency: you'll usually find me in the gym, writing something I'll over-edit later, or planning the next trip. I like hikes that make you earn the view and challenges that make you earn the outcome.

I keep things simple: show up, do the work, keep improving. If it ships, scales, and still sleeps at night — that's a good day.

Experience

  1. Nov 2023 — Present

    Software Engineer II · Morgan Stanley

    Leading development of real-time fraud detection and behavioral analytics systems with patent-pending technology.

    • ▹Designed and built a holistic behavior analysis engine that correlates user activity across platforms to identify and contextualize fraudulent patterns in real-time.
    • ▹Architected streaming pipelines using Kafka and Apache Flink for low-latency risk evaluation and fraud signal processing at scale.
    • ▹Leveraged RAG systems to surface historical risk signals and behavioral context, enabling faster triage and more accurate fraud classification.
    • ▹Built a scalable savings platform for high-value client profiling using Terraform-based infrastructure and targeted data orchestration.
    • Kafka
    • Apache Flink
    • RAG
    • AWS
    • Terraform
    • Python
    • Fraud Detection
  2. Feb 2023 — Nov 2023

    Software Engineer I · Morgan Stanley

    Automated legacy code modernization using RAG-enhanced LLMs and built real-time data reporting infrastructure.

    • ▹Developed an automated code translation system using RAG-enhanced LLMs to modernize legacy codebases, eliminating manual translation efforts across hundreds of programs.
    • ▹Engineered validation pipelines with AWS Lambda for orchestration and Aurora for state tracking, dramatically accelerating the modernization workflow.
    • ▹Delivered real-time data reporting via AWS Kinesis, enabling leadership to make faster, data-driven decisions.
    • RAG
    • LLMs
    • AWS Lambda
    • Aurora
    • Kinesis
    • Python
    • TypeScript
  3. Jul 2021 — Sep 2022

    Regional Associate & Accelerator Intern · Hult Prize Foundation

    Built distributed systems powering global social entrepreneurship competitions with tens of thousands of participants.

    • ▹Engineered a distributed, fault-tolerant voting system designed to handle real-time user surges during live competition events.
    • ▹Optimized concurrent request processing and streamlined backend workflows to support smooth operations during peak load periods.
    • Distributed Systems
    • Concurrency
    • Node.js
    • PostgreSQL
  4. Jan 2021 — May 2021

    Artificial Intelligence Intern · IoTIoT.in

    Built a real-time, device-agnostic gesture recognition framework using ML-driven motion tracking and signal processing.

    • ▹Developed advanced motion tracking and signal processing algorithms to improve input reliability across diverse hardware.
    • ▹Engineered parallelized model training pipelines to reduce latency while maintaining high accuracy for gesture classification.
    • Machine Learning
    • Signal Processing
    • Python
    • TensorFlow
  5. Jun 2020 — Dec 2020

    Software Development Intern · MediaPro Innovations

    Applied user behavior analysis and ML-driven content filtering to improve engagement on an ed-tech platform.

    • ▹Implemented ML-driven content filtering based on user behavior patterns to surface more relevant learning materials.
    • ▹Improved backend efficiency through strategic caching and database indexing, supporting a growing active user base with fewer defects.
    • Python
    • Machine Learning
    • Backend
    • Caching
View Full Résumé

Projects

  1. Citation-Grounded Knowledge Platform

    Citation-first Q&A with multi-stage retrieval + reranking and strict answer gating—no source, no answer—deployed on AWS with audit-ready traces.

    • RAG
    • LangGraph
    • AWS Bedrock
    • Lambda
    • Step Functions

  2. Aarogya — Privacy-Preserving Mental Health Risk Detection

    Privacy-preserving NLP pipeline for early depression and suicide-risk signals, combining social indicators and clinical questionnaires with a deployment-ready workflow.

    • NLP
    • Privacy
    • Machine Learning
    • AWS
    • Python

  3. Diverting Public Complaints Based on Textual Analysis

    Built a text-classification pipeline to route financial/public complaints to the right department using comparative ML experiments and evaluation-driven iteration.

    • Python
    • Machine Learning
    • Text Classification

  4. Text Summarization Using Sentiment Analysis

    Implemented sentiment-driven summarization on customer review data, integrating web-scraped inputs with supervised ML baselines.

    • Python
    • NLP
    • Machine Learning

  5. Survey Masters Website

    Designed and built a full-stack survey platform with authenticated workflows for creating surveys and collecting responses.

    • Web
    • JavaScript
    • CSS
    • Backend

  6. Deep Learning for Satellite Imaging

    Produced a deep-learning research report exploring satellite-imaging use cases, modeling approaches, and practical deployment constraints.

    • Deep Learning
    • Computer Vision
    • Research

  7. Question Paper Generator

    Built a web-based application concept for generating structured question papers with configurable templates and sections.

    • Web
    • Automation
    • Product Design

Research

Education

  1. Buffalo, NY

    University at Buffalo, SUNY

    M.S., Computer Science

  2. Ahmedabad, India

    Nirma University

    B.Tech, Computer Engineering