AI/ML Software Engineer & Project Manager

647-***-**** ************@*****.***** com linkedin.ISMAIL com/in/asserismail github.com/AsserIsmail L5M 0L6 PROFILE

● Software Engineer with experience in AI/ML & Distributed Systems building production MCP & RAG LLM-powered systems

● Co-inventor on a 2025 Patent in RDMA-based replication for distributed cloud databases

● Honours B.Sc. in Computer Science from the University of Toronto & Member of the Dean’s List Scholar TECHNICAL SKILLS

l Languages: Python, Java, C, C++, TypeScript, JavaScript, SQL, PostgreSQL, Shell, Assembly, C, React.js Software: AWS, Docker, Kubernetes, Firebase, Flask, FastAPI, LangChain, LangGraph, OpenAI API, Gemini API, Ollama, REST APIs Tools: Tableau, Power BI, Git, Linux, Redis, Postman, PyTorch, TensorFlow, Jupyter Notebook, GitLab, GitHub, Claude Code, Codex EXPERIENCE

AI Software Engineer AI Samurai aisamurai.ca Oct. 2025 - current

● Developed AI-powered media summarization pipelines using OpenAI and Gemini APIs for 100+ audio and video content

● Integrated LangGraph based agentic workflows for multi-step reasoning and tool calling, with use of Tableau and Power BI

● Designed Python backend services using Codecs, WebAudio & AWS to process and improve summary quality by 25%

● Optimized LLM performance through prompt engineering, model benchmarking, and automated quality evaluation Cloud Database DevOps Engineer Huawei huawei.com May 2024 - Sep. 2025

● Developed low-level C, Python, and Shell software for Linux cloud database systems, supporting enterprise SaaS deployments

● Improved deployment efficiency by 40% by automating DevOps workflows using Python, Shell, and LLM-based tooling

● Built and debugged distributed database components for replication, storage, high availability, and recovery with GitLab

● Designed synthetic data generation pipelines using LLMs from DDL schemas and prompts for testing and benchmarking

● Leveraged Ollama LLM & Vanna AI architecture with vector databases, accelerating data retrieval & semantic search by 23%

● Co-inventor on a patent (2025) for DMA pull-based RDMA log sync. between master/replica in cloud-native databases PROJECTS

CNN Photo Geolocation Model

● Designed a CNN-based photo geolocation model using continent classification and coordinate regression on Street View image

● Built a 38K+ image dataset from the Google Street View API with multi-angle sampling and data augmentation for robustness

● Applied transfer learning with the EVA-02 backbone pretrained on ImageNet-22k to extract geographic visual features

● Achieved 96% continent accuracy and a 251 km avg. localization error, outperforming Google PlaNet and Claude-3.5 baselines Distributed Real-Time Pixel Platform

● Built a serverless real-time pixel platform using AWS Lambda, API Gateway WebSockets, Redis and CloudFront

● Managed WebSocket connections and distributed rate limiting with Redis to support concurrent users

● Optimized performance with atomic Redis operations and CloudFront edge caching to reduce latency University of Toronto Software Platform

● Built an organization's full-stack ASP.NET web app using MVC with PHP, Flask, ReactJS and MongoDB, handling 200+ users

● Led a team of 3 developers, mentoring and onboarding new members on REST APIs, Flask & ReactJS best practices

● Implemented Firebase's secure authentication & real-time data updates with DigitalOcean, improving user experience by 27% EDUCATION

University of Toronto Computer Science Specialist Honours Bachelor of Science (HBSc) + PEY Co-op

Relevant - Machine Learning & AI (PyTorch, Python) - Software Tools and System Programming (C, Shell) Coursework: - Deep Learning (PyTorch, TensorFlow, Architecture) - Operating Systems (C, Linux, Processes, Threads)

- Computer Networks (TCP/IP, Routing, Network Protocols) - Database Systems (SQL, PostgreSQL, MySQL) CERTIFICATES & HONORS

2026 Agentic AI, Built autonomous AI agents using planning, reflection, tool use, and multi-agent workflows DeepLearning.AI 2026 Agile Project Management, Learned Scrum, Kanban, backlog, sprint planning and Agile delivery practices Google 2026 InstructLab Bias Detection Model, Fine-tuned Granite-7B using synthetic data to diagnose bias Riipen/Red Hat x IBM 2024 ML Specialization, Completed supervised, unsupervised, & reinforcement learning courses (NLP, Transformers) Coursera 2023 Microsoft Certified: Azure Fundamentals, Cloud concepts in networking and Azure in particular Microsoft 2023 Dean’s List Scholar, Maintained 3.50+ CGPA throughout the academic year UNIVERSITY OF TORONTO 2021 Entrance Scholarship, Achieved a 4.0 CGPA in the first academic year UNIVERSITY OF TORONTO 2019 MVP Award, Most Valuable Swimmer Award in High School Stephen Lewis SS

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