Shahroz Ahmad's Resume

Shahroz Ahmad

Full-Stack AI/ML engineer who loves to build AI verticals with meticulous chaos.

Halifax, Canada, AST

Shahroz Ahmad's profile picture

About

By trade, I build full-stack, intelligent, highly scalable systems. By nature, I’m a writer and systems thinker, drawn to complex ideas and driven to turn them into solutions that genuinely make people’s lives easier. I’ve moved across insurtech, carbon tech, edtech, proptech, and fintech, adapting quickly and learning fast alongside brilliant people.

Work Experience

Davies North AmericaFull-time

Full-Stack AI/ML Engineer

HalifaxHybrid
  • Leading automation of insurance claims with a RAG system on AWS Bedrock, LangChain, LlamaIndex, Textract, S3, and Lambda, replacing manual OnBase workflows.
  • Building a fraud detection app that connects React frontends, Python ML pipelines, and Dagster to analyze loss data within the ICM ecosystem.
  • Implementing MCP and A2A automations to cross-verify claims against descriptions and photos while integrating modern ML services with legacy OnBase systems.
  • Replaced manual OnBase claim reviews with AWS Bedrock + LangChain RAG flows.
  • Linked React apps, Python models, and Dagster fraud pipelines across ICM data.
  • Shipped MCP/A2A checks that compare claim text and photos across legacy stacks.

AcuicyContract

Machine Learning Researcher - LLM

HalifaxHybrid
  • Enhanced the NetZero engine by adding non-linear ML models tracked and deployed via MLflow, improving CAPEX, ROI, and emissions estimates by 20%.
  • Automated carbon data retrieval and fine-tuned LLMs with Adaptive RAG, LoRA, and QLoRA, serving them through vLLM for batched inference.
  • Built Dagster ETL pipelines that pull graph data from ArangoDB, process it, and land curated features in ClickHouse for training.
  • Connected ClickHouse to Superset for interactive analytics and shipped an open-source Superset Python client for microservice automation.
  • Developed Amazon Bedrock copilots that automate onboarding diligence and accelerate proof-of-value delivery for carbon-intelligence clients.
  • Lifted NetZero forecasts 20% through MLflow-tracked nonlinear models.
  • Automated carbon data ingestion and fine-tuned Adaptive RAG + LoRA LLMs on vLLM.
  • Built Dagster → ClickHouse → Superset loop for graph features and analytics.
  • Delivered Bedrock copilots that fast-track onboarding diligence and POV automation.

DetectCo-op

Machine Learning Engineer - Computer Vision

HalifaxHybrid
  • Built a high-throughput EgoBlur inference service to anonymize faces and plates prior to delivering annotated inspection datasets.
  • Fine-tuned Faster R-CNN, YOLO, and Mask R-CNN models in PyTorch, pushing mAP beyond 0.7 for defect-feature pair detection.
  • Developed Dagster-driven pipelines that trigger training or retraining when new data or class labels arrive, using assets, partitions, and ops graphs.
  • Integrated MLflow and Hydra into the MLOps toolchain for experiment tracking, configuration, evaluation, and deployment.
  • Launched EgoBlur to anonymize inspection photos before delivery.
  • Tuned YOLO, Faster/Mask R-CNN models to exceed 0.7 mAP on defect pairs.
  • Drove Dagster retrains with MLflow + Hydra whenever new labels or data landed.

ArbisoftFull-time

Software Engineer

McKinneyRemote
  • Worked as an open-source core contributor in the Open edX community, helping revamp the "edx-platform" from a monolithic architecture to a distributed microfrontends and microservices architecture.
  • Reduced critical production and security issues by 20% for thousands of online learners through dependency upgrades and fixes.
  • Enhanced CI/CD pipelines with GitHub Actions, automating tasks like semantic versioning and repository translations, saving significant manual effort.
  • Developed a scalable web application for "Unlisted," handling thousands of concurrent users, scraping and indexing tens of thousands of property data points, and implementing 20+ AI-powered property proposal features.
  • Led quality engineering and data analysis on 50+ property features for "Unlisted," improving search criteria by 40%.
  • Core contributor migrating Open edX from monolith to MFE/services.
  • Cut prod/security incidents 20% through upgrades and automated CI/CD.
  • Built “Unlisted” real-estate platform powering 20+ AI proposal features.

Dubizzle LabsFull-time

Software Engineer

LahoreOn-site
  • Conducted in-depth research and integrated the ELK stack into the existing Propforce backend architecture.
  • Optimized spatial database indexing and implemented Elasticsearch geo-queries, reducing full-length address lookup times from 2-3 seconds to under 300 milliseconds.
  • Developed a scalable, multi-tenant backend for Propforms, a national land balloting project, supporting 1,000+ tenants and handling 10,000+ ballots daily with high availability.
  • Embedded ELK observability inside Propforce’s backend.
  • Cut geo lookup latency from seconds to <300 ms via spatial indexes + Elasticsearch.
  • Launched Propforms multi-tenant backend serving 1k+ tenants and 10k ballots/day.

i2cFull-time

Software Engineer

Redwood CityRemote
  • Developed globally active, highly scalable, multi-threaded digital payment backend services and batch schedulers for major clients, including CIBC, Sightline, Petal, and Vantage Bank.
  • Horizontally scaled the Direct Deposit Scheduler, increasing transactions per second from 50 to 500.
  • Improved customer care service by automating call evaluation with NLP, resulting in a 15% increase in the Customer Satisfaction Score.
  • Mentored junior engineers through training sessions and code reviews, leading to a 40% improvement in code quality and a 90% job satisfaction rate.
  • Shipped payment services for CIBC, Sightline, Petal, and Vantage Bank.
  • Scaled Direct Deposit throughput 10× (50 → 500 TPS) with new scheduler.
  • Automated NLP call scoring to raise CSAT 15% while mentoring juniors.

Education

Dalhousie University

Master of Applied Computer Science (MACS), Computer Science

National University of Computer and Emerging Sciences

Bachelor of Science (BS), Computer Science

Skills

Programming Languages

AI & Machine Learning

Backend & UI Systems

  • FastAPI
  • Gin
  • Turborepo
  • Elasticsearch
  • React
  • Next.js
  • TailwindCSS
  • Zustand

Cloud & Infrastructure

  • AWS
  • Azure
  • Kubernetes
  • Docker
  • Terraform
  • Cloudflare
  • Prometheus
  • Grafana
  • ClickHouse
  • gRPC
  • Nginx
  • RabbitMQ
  • Authentik
  • Tailscale

Developer & Daily Tooling

CLI & TUI Development

  • Typer
  • Ratatui

Desktop & Mobile Development

  • Tauri
  • Expo

Projects

gtdustIN PROGRESS

GTD desktop client that recreates Things 3 capture, project, and inbox flows on Windows using Rust and iced.rs for a lightweight, fast UI.

SkilledInDEPRECATED

Skills intelligence platform pairing a LinkedIn-scraping Chrome extension with an AI backend that extracts skills, normalizes job titles, and powers future analytics dashboards.

  • Chrome Extension
  • WXT