Muhammad Murad Siddiqui

Contributed to the development of an interactive learning platform by building and enhancing dashboards for both participants and experts using Next.js and Material-UI. Improved frontend architecture and user workflows, aligning with the updated design system and accessibility standards. Successfully deployed the application on self-hosted servers using GitLab CI/CD pipelines. Collaborated with backend teams to implement a Django-based video pipeline, ensuring seamless end-to-end processing. Resolved Docker and Celery configuration issues to stabilize asynchronous task processing and improve deployment reliability. Designed a new message composition interface in Figma focusing on usability, accessibility, and improved student feedback workflows. Delivered UI optimizations and bug fixes to ensure smooth rendering, consistent performance, and cross-browser responsiveness. Participated in Agile sprint meetings to plan, track, and coordinate deliverables across teams.

Engineered a hybrid AI search system combining knowledge-graph (Neo4j) and vector search (Qdrant) for intelligent profile matching at scale. Developed a natural-language query parser to convert free-text inputs into structured graph queries, enabling flexible search experiences. Designed product–user relationship schema in Neo4j with numeric filters and relationship weights to support fine-grained matching logic. Created a semantic-search pipeline using SentenceTransformer embeddings over a multimillion-entry dataset, delivering real-time relevance and retrieval. Hardened backend architecture and performance through rigorous testing, optimization, and scalable design to support high-volume retrieval. Led the development of an agent orchestration layer for AI workflows, integrating multiple tools to automate complex tasks and maintain guardrails for safe operation. Collaborated with cross-functional teams to define prompt strategies, evaluation frameworks, and system reliability in pr

Led core service development using Python, Django, Node.js, and Docker to enhance system functionality and reliability. Built scalable microservices, reducing downtime by 25% and improving overall service reliability. Implemented RESTful APIs for core services, increasing data processing speed by 40% and improving user experience across platforms. Created consistent and reusable frontend components with modern UI frameworks (React, Material-UI) to improve design cohesion and developer productivity. Configured Docker-based environments ensuring reproducible builds and smooth deployment pipelines. Participated in CI/CD workflows with Jenkins to automate builds, tests, and deployments across multiple environments. Collaborated with cross-functional teams to diagnose performance bottlenecks and rebuild services for scalability and maintainability. Partnered with cross-functional teams to define performance goals and ensure reliability in production.