Sidra Khan
@sidrakhan1
I’m a data science & AI developer building secure DevOps-driven LLM applications and backend systems.
What I'm looking for
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
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.
AI Developer Intern
Qikkles Solutions Pvt. Ltd.
Jan 2025 - Jun 2025 (5 months)
Built backend services with FastAPI and integrated APIs with frontend systems for a Schaeffler project. Developed and deployed Generative AI solutions and optimized machine learning models for production integration.
Education
Degrees, certifications, and relevant coursework
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.
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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