Samad Siddiqui

I’m a Python/Django & Flask developer with 1+ year of full-time experience building and maintaining production REST APIs at Linked Matrix, alongside an internship at Arbisoft. I focus on delivering reliable back-end capabilities—especially where performance and data design matter.

At Linked Matrix, I implemented integration workflows for external AI model providers, enabling seamless access to third-party LLMs and vision models within a unified platform. I also developed functionality to import and deploy LoRA fine-tuned models from Hugging Face, expanding platform flexibility for custom model usage.

I’m particularly strong in database and query performance. I optimized queryset logic and implemented PostgreSQL indexing strategies to improve response times for high-frequency endpoints, and I contributed to architecture decisions by evaluating trade-offs between Django ORM and raw SQL for performance-critical queries.

I bring a practical engineering mindset to analytics and reporting as well—building SQL-based pipelines to track AI model usage, token consumption, and system-level cost metrics at scale using PostgreSQL features like CTEs, date_trunc, and aggregations. I’ve also trained a multitask BERT model for NLP tasks (QQP, SNLI), reinforcing my interest in building back-end systems that support advanced ML workflows.