Kamran Iqbal
@kamraniqbal1
I build secure, scalable LLM applications and cloud infrastructure for production AI products.
What I'm looking for
At AI Mark Labs Enterprises, I built “Brain,” a production FastAPI platform on Google Cloud Run serving 8+ AI-powered products from one multi-tenant backend.
I build practical LLM systems using OpenAI and Azure OpenAI, including RAG pipelines with Pinecone, streamed chat experiences, AI agents, document Q&A, resume generation, voice assistants, and real-time interview bots. My work includes privacy-focused medical bots that redact PII before model calls and observability that tracks token usage, traces requests, and protects identifiers.
I independently designed GCP infrastructure end to end: VPC networking, Cloud Run, Compute Engine, HTTPS load balancing, Cloud Armor, IAM, DNS, TLS, CI/CD, autoscaling, and production deployments aligned with HIPAA and FERPA requirements.
I also bring data analysis experience from Future Intern, where I built Power BI dashboards, transformed data with Power Query, and analyzed e-commerce and Facebook Ads performance through ROI, CTR, and conversion KPIs.
Experience
Work history, roles, and key accomplishments
Associate AI Engineer
AI Mark Labs Enterprises
Nov 2025 - Apr 2026 (5 months)
Designed and built a production FastAPI platform on Google Cloud Run serving 8+ AI-powered products. Architected modular services, implemented RAG pipelines, and ensured HIPAA and FERPA compliance.
Education
Degrees, certifications, and relevant coursework
National University of Sciences and Technology (NUST)
Bachelor of Engineering, Software Engineering
2023 -
Grade: 3.6/4.0
Pursuing a Bachelor of Engineering in Software Engineering with a CGPA of 3.6/4.0.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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