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Sidra KhanSK
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Sidra Khan

@sidrakhan1

I’m a data science & AI developer building secure DevOps-driven LLM applications and backend systems.

India
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What I'm looking for

I want to build LLM-based products with strong backend foundations—secure authentication (OIDC/Keycloak), RBAC/multi-tenant isolation, and reliable orchestration (Airflow/Kubernetes)—in a team that values DevOps practices and real-world impact.

I’m a Computer Science (AIML) undergraduate with hands-on experience in DevOps-driven AI systems, focusing on secure authentication architectures, multi-tenant platform engineering, and backend development. At Data Science Wizards Pvt. Ltd., I built an LLM-based automated presentation generation system from prompts and datasets, and designed an encrypted data pipeline integrating OpenMetadata and Apache Airflow.

Most importantly, I implemented enterprise SSO + RBAC using OIDC with Keycloak and enforced strict user isolation across 10+ open-source components (including Superset, JupyterHub, Airflow, Langflow, Kestra, ArangoDB, Airbyte, pgAdmin, and NiFi). Earlier, at Qikkles Solutions Pvt. Ltd., I developed FastAPI backend services, integrated APIs with frontend systems, and deployed generative AI solutions for real-world use cases—strengthening my ability to deliver production-ready work. I also prototype RAG applications like a Flask-based PDF manager to keep my focus on LLM-based utility and measurable outcomes.

Experience

Work history, roles, and key accomplishments

DL
Current

Data Science Intern

Data Science Wizards Pvt. Ltd.

Aug 2025 - Present (10 months)

Developed an LLM-based system to generate structured PPTs from prompts and datasets. Designed an encrypted data pipeline using OpenMetadata and Apache Airflow and implemented enterprise SSO with OIDC (Keycloak) plus RBAC with strict user isolation across 10+ tools.

Education

Degrees, certifications, and relevant coursework

A. P. Shah Institute of Technology logoAT

A. P. Shah Institute of Technology

Bachelor of Engineering, Computer Science Engineering (AIML)

2022 -

Grade: CGPA 8.6 (through Semester 7)

Pursuing a B.E. in Computer Science Engineering (AIML), with CGPA of 8.6 through Semester 7.

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