Amna Mubashar
Python Developer at Pursue Today
Punjab, Pakistan
Summary
🤩
Rockstar🎓
Top SchoolAmna Mubashar is a Python developer and full-stack engineer with a decade of experience delivering scalable backend systems and data-driven integrations. Currently at Pursue Today and contributing to deepset-ai's Haystack, she focuses on reliable API design, performance optimization, and production-ready AI-NLP orchestration for RAG and semantic search use cases. She has strong hands-on expertise with Flask, FastAPI, Redis/Celery job management, Docker, and web scraping at scale, plus frontend work in React and TypeScript that enables seamless end-to-end solutions. Her open-source contributions to Haystack include improving evaluation metrics and component serialization—work that directly impacts real-world retrieval and QA pipelines. Comfortable across cloud services and CI/CD workflows from prior roles, she combines pragmatic engineering with a track record of mentoring teams and shipping dependable systems. Outside core development, she brings an analytical edge from academic distinction (3.81 GPA, merit list) and real-world integration experience across many SaaS APIs.
10 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science, 3.81 (Merit List Awardee), Bachelor's degree, Computer Science, 3.81 (Merit List Awardee) at Kinnaird College for Women, Lahore, Pakistan
Github Skills (10)
debug10
retrieval-augmented-generation10
large-language-models10
python10
haystack10
ai9
nlp9
language-model8
pytorch8
generative-ai8
Programming languages (3)
Github contributions (5)
deepset-ai/haystack
Apr 2024 - Apr 2025
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
Role in this project:
Backend Developer
Backend DeveloperContributions:126 reviews, 56 PRs, 133 pushes in 11 months
Contributions summary:Amna primarily contributed to bug fixes and enhancements related to the Haystack framework's evaluation components, specifically addressing issues in MRR and MAP calculations. They also added and modified parameters related to serialization processes within various components, particularly the OpenAI generator and its related components. Furthermore, the user removed the Multiplexer component and associated tests and updated the implementation of the `Pipeline.from_dict` method. The work focused on improving the framework's core functionality and component serialization.
pythonbertfinetuningproduction-readyhuggingface-transformers
Amnah199/haystack
Apr 2024 - Apr 2024
:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
Contributions:1 PR, 2 pushes, 1 branch in 1 day
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