Software Engineer

Hi, I’m Asser Ismail.

I specialize in AI/ML and distributed systems, with experience building production AI applications, cloud database infrastructure, and applied machine learning projects.

Get in touch ↗ LinkedIn ↗ GitHub ↗ Résumé ↓

Production AIMCP + RAGDistributed databasesApplied ML researchCloud infrastructure

01 / Experience

Engineering across AI and infrastructure.

Oct 2025 — Jul 2026AI Samurai

AI systems

AI Software Engineer

Built production media intelligence pipelines that summarized 100+ audio and video assets with OpenAI and Gemini APIs. Integrated LangGraph agentic workflows for multi-step reasoning and tool use, and developed Python services using AWS, codecs, and WebAudio.

Improved summary quality by 25% through backend processing and evaluation.
Benchmarked models, engineered prompts, and automated quality measurement.
Connected AI outputs to Tableau and Power BI for practical analysis.

PythonLangGraphOpenAI APIGemini APIAWSWebAudioTableauPower BI

May 2024 — Sep 2025Huawei

Cloud databases

Cloud Database DevOps Engineer

Developed low-level C, Python, and Shell software for Linux cloud database systems supporting enterprise SaaS deployments. Worked on replication, storage, high availability, recovery, and AI-assisted database tooling.

Automated DevOps workflows to improve deployment efficiency by 40%.
Built LLM-driven synthetic data generation from DDL schemas for testing and benchmarking.
Accelerated semantic search and data retrieval by 23% with Ollama, Vanna AI, and vector databases.

CPythonShellLinuxRDMAGitLabOllamaVanna AIVector databases

Jan 2024 — Apr 2024Headstarter AI

Applied AI development

AI Software Developer

Developed and maintained an AI-powered application using the Gemini API to generate personalized flashcards from user prompts.

Improved AI-generated content quality by 30% through prompt engineering and response evaluation.
Integrated Clerk, Firebase, and Stripe APIs for authentication, cloud storage, and subscription management.
Developed REST APIs to coordinate AI generation, user management, and persistent data storage.

Next.jsGemini APIClerkFirebaseStripeREST APIs

View Flashcard Code ↗View Support AI Code ↗View Inventory Code ↗

02 / Projects & research

Recent work with measurable results.

01LLM alignment · White paper

InstructLab Bias Detection Model

Fine-tuned Granite-7B with Red Hat × IBM InstructLab to detect political, gender, age, ethical, marketing, and research bias. The system identifies biased text, categorizes it, and explains the reasoning as advisory feedback.

~0.99Political-bias accuracy

3Models evaluated

6Bias taxonomies

Designed compositional skill taxonomies, generated and filtered synthetic Q&A data, then compared Granite, Mistral, and Merlinite using MT-Bench-style judging and labeled Kaggle datasets. The study also documented model-specific regressions, false-positive risks, and the limits of bias classification.

IBM InstructLabGranite-7BPythonGCPMT-Benchscikit-learn

View Code ↗Read White Paper ↗

02Deep learning · Computer vision

CNN Plays GeoGuessr

Built a worldwide photo-geolocation model on an EVA-02 backbone, combining continent classification with gated coordinate regression to predict continuous spherical coordinates from Street View imagery.

96.1%Continent accuracy

38K+Training images

251 kmMedian error

Created a custom dataset from 12,600 locations with three angles per location, data augmentation, teacher forcing, and an angular loss objective. The model outperformed PlaNet's 1,131.7 km median error and produced a 683 km mean error worldwide.

PyTorchEVA-02PythonGoogle Street View APINumPyTransfer learning

View Code ↗Read Project Paper ↗

03Distributed systems · AWS

Distributed Real-Time Pixel Platform

Architected a serverless collaborative canvas for concurrent real-time interaction. API Gateway WebSockets and AWS Lambda handle persistent connections and pixel broadcasts, Redis provides connection state and atomic rate limiting, and CloudFront reduces read latency through edge caching.

AWS LambdaWebSocketsRedisCloudFrontAPI Gateway

Explore profile ↗

04Full-stack platform

U of T Software Platform

Led three developers building an organization platform for 200+ students. Designed the React, Flask, and MongoDB architecture, implemented REST APIs, secure Firebase authentication, and real-time updates, and coordinated deployment on DigitalOcean.

ReactFlaskMongoDBFirebaseREST APIs

Explore profile ↗

Earlier Projects

CrewiseRole-based expedition health platform · React · Flask · TypeScript · MongoDB · Chakra UI · DigitalOceanView code ↗

Remixed UNOLAN multiplayer card game · Java · JavaFX · SOLID · Design patternsView code ↗

Zip & UnzipHuffman-tree compression for text, image, and audio · Python · Data structuresExplore profile ↗

03 / Patent work

Database replication at the systems level.

Co-inventor
2025

Huawei · Cloud-native databases

DMA pull-based RDMA log synchronization

Co-inventor on a 2025 patent related to synchronizing database logs between master and replica nodes using a DMA pull-based RDMA approach. The work targets a critical distributed-database path: moving replication data efficiently while supporting high availability and recovery.

The public portfolio intentionally describes the technical area at a high level and does not disclose confidential implementation details.

04 / Certifications

Focused learning, applied in practice.

2026 · DeepLearning.AI

Agentic AI

Built agent workflows using planning, reflection, memory, tool use, and multi-agent coordination, with emphasis on reliable execution and evaluation.

2026 · Google

Agile Project Management

Applied Scrum and Kanban through backlog refinement, sprint planning, delivery metrics, risk management, and stakeholder communication.

2026 · Riipen / Red Hat × IBM

InstructLab Bias Detection

Designed bias taxonomies, generated synthetic data, fine-tuned Granite, evaluated model behavior, and documented the system in a technical white paper.

2024 · Coursera / DeepLearning.AI

Machine Learning Specialization

Covered neural networks, decision trees, clustering, anomaly detection, recommender systems, reinforcement learning, and practical model evaluation.

2023 · Microsoft

Azure Fundamentals

Validated core knowledge of Azure compute, storage, networking, identity, security, governance, monitoring, and cloud cost management.

2023 · University of Toronto

Dean’s List Scholar

Academic distinction recognizing sustained high achievement in the Computer Science Specialist program.

2021 · University of Toronto

Entrance Scholarship

Merit-based recognition awarded on admission for strong academic achievement.

2019 · Stephen Lewis SS

Most Valuable Swimmer

Athletic award recognizing competitive performance, consistency, leadership, and contribution to the swim team.

05 / Technologies

Tools across the stack.

Languages

Python · C · C++ · Java · TypeScript · JavaScript · SQL · PostgreSQL · Shell · Assembly

AI / ML

PyTorch · TensorFlow · LangChain · LangGraph · OpenAI API · Gemini API · Ollama · RAG · MCP · Jupyter

Cloud & systems

AWS · Docker · Kubernetes · Linux · Redis · GitLab · GitHub · DigitalOcean · REST APIs · WebSockets

Applications & data

React · Flask · FastAPI · Firebase · MongoDB · Tableau · Power BI · Postman · Vanna AI

06 / Contact

Let’s build systems that are useful, reliable, and technically ambitious.

Email me ↗LinkedIn ↗GitHub ↗Download résumé ↓