- 🔭 I’m currently working on developing LLM-powered recommendation engines in a valuation SaaS product with candidate model/algorithm AB testing.
- 🔭 Current domain: Valuations
- 🌱 I’m currently trying to develop a personal assistant agent using local LLMs and agentic libraries.
- 💬 Ask me about Image generation, Machine Learning workflows, retro video games or Bionicle
- 📫 How to reach me: akazmi.public@gmail.com or LinkedIn: https://ca.linkedin.com/in/arslankazmi
I also like to tinker with AI related side projects at home. Since I have a background in text-to-image generation systems I've been experimenting with tools like text-generation-webui, llama.cpp, ollama, etc to run AI services locally.
I like getting disparate tools, libraries and languages to interact in interesting ways to build solutions to problems I find intriguing.
- I have a large breadth of knowledge with regards to the fundamentals of AI and deep learning models. I've studied their architectural and mathematical foundations as well
- My unique collaborative degree program trained me to not only think of how AI solutions are created but also why and when not to do so ethically. I believe that if we do not consider the ethical implications of our products we run the risk of loosing long-term benefits in the chasing of short-term financial gain.
- I'm detail-oriented and consider the whole picture and long-term ramifications of anything I design or program. I like to anticipate problems and plan solutions accordingly, especially for deployment scenarios.
- I'm hungry to learn from those who are more experienced than me, and enjoy passing on my knowledge and skills as well.
Things I can work with now1
| Category | Tools and Technologies |
|---|---|
| Platforms | Windows, Linux, macOS |
| Languages | Python (Proficient, Most Recent) |
| Libraries / Tools | uv |
| AI / Machine Learning | promptflow, openai, pytorch, tensorboard, pytorch-lightning, llamaindex, llama.cpp, langchain, langgraph, transformers, scikit-learn, pandas, plotly, matplotlib, opencv |
| MLOPs | mlflow, kubeflow |
| LLM-OPs | langfuse |
| DevOPs | docker, bash |
| Data | Snowflake, Databricks, Apache Superset |
| Cloud | Azure (+ ML Studio, Notebooks), Azure AI Foundry, Azure OpenAI |
| Frameworks | FastAPI |
| Category | Tools and Technologies |
|---|---|
| Platforms | Android |
| Languages | Java (Proficient), C++ (Moderate), JS |
| Data | ElasticSearch (+ KQL), OpenSearch( + Query DSL), OpenSearch Dashboards, Kibana, Apache Spark, Kafka, Tableau |
| Security | Wazuh (manager, agent) |
| Cloud | AWS |
| Frameworks | Spring Boot, Spring Cloud |
| Domain | Specifics |
|---|---|
| Cybersecurity | User and Entity Behavior Anayltics (UEBA), anomaly detection (network-based, activity/behavior based), Penetration Testing |
| Valuations | Comparable Peer Company Selection, Comparable M&A Transaction Selection |
- I've used NetBeans for Java over eclipse and JetBrains IdeaJ.
- I've used Android Studio for Android App Development.
- I've used Visual Studio 2010, Visual Studio 2017, Visual Studio 2019, gcc, g++ for C/C++.
Footnotes
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(Bold are more recent and/or relevant skills to my current work), while those in italics are things I am still learning) ↩