Shahroz Ahmad's Resume

Shahroz Ahmad

Full Stack Engineer dedicated to building high-quality products.

Halifax, Canada, AST

Shahroz Ahmad's profile picture

About

Full Stack Engineer specializing in high-performance React applications, scalable Node.js services, and real-time collaboration systems. Experienced in technical architecture design and remote team leadership.

Work Experience

Davies North AmericaFull-time

Full-Stack AI/ML Engineer

Apr 2025 - Present
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.
  • AI/ML
  • Amazon Bedrock

AcuicyContract

Machine Learning Researcher - LLM

Aug 2024 - Mar 2025
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.
  • Deep Learning
  • MLflow

AcuicyContractPart-time

Machine Learning Engineer

Aug 2024 - Dec 2024
HalifaxHybrid
Developed Amazon Bedrock powered services that automated client onboarding checks and accelerated proof-of-value engagements.
  • Amazon Bedrock

DetectCo-op

Machine Learning Engineer - Computer Vision

Sep 2024 - Dec 2024
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.
  • Deep Learning
  • MLflow

Scale AIContract

LLM Engineer - Training

Dec 2023 - May 2024
San FranciscoRemote
  • Produced high-quality training data across multiple programming languages and frameworks as a "Platinum" rank team member, leading 5+ campaigns that improved SOTA LLM model capabilities by 30%.
  • Audited training data, developed eval sets, and optimized model performance with RLHF by enhancing correctness, informativeness, clarity, and creativity, resulting in a significant LLM reasoning uplift.
  • Implemented chain-of-thought prompting techniques to improve the model's coding and reasoning abilities, achieving a 15% increase in problem-solving accuracy.
  • Enhanced SOTA LLM model performance by 40% on the SWE-bench dataset, improving code generation, bug fixing, and code documentation tasks.
  • LLM
  • RLHF

ArbisoftFull-time

Software Engineer

Jan 2022 - Jul 2023
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%.
  • Open edX
  • Microfrontends

Dubizzle LabsFull-time

Software Engineer

Aug 2021 - Dec 2021
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.
  • ELK
  • Geo

i2cFull-time

Software Engineer

Jul 2020 - Aug 2021
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.
  • Payments
  • NLP

Education

Dalhousie University

2023 - 2024
Master of Applied Computer Science (MACS), Computer Science

National University of Computer and Emerging Sciences

2016 - 2020
Bachelor of Science (BS), Computer Science

Skills

  • React/Next.js/Remix
  • TypeScript
  • Tailwind CSS
  • Design Systems
  • WebRTC
  • WebSockets
  • Node.js
  • GraphQL
  • Relay
  • System Architecture
  • Remote Team Leadership

Side projects

Monito

Browser extension for debugging web applications. Includes taking screenshots, screen recording, E2E tests generation and generating bug reports

  • TypeScript
  • Next.js
  • Browser Extension
  • PostgreSQL

Consultly

Platform for online consultations with real-time video meetings and scheduling

  • TypeScript
  • Next.js
  • Vite
  • GraphQL
  • WebRTC
  • Tailwind CSS
  • PostgreSQL
  • Redis

Minimalist CV

An open source minimalist, print friendly CV template with a focus on readability and clean design. >9k stars on GitHub

  • TypeScript
  • Next.js
  • Tailwind CSS