Muhammad Umair Tahir

I’m a backend-focused full-stack developer who builds secure, database-backed REST APIs and reliable server-side logic. I specialize in turning real business workflows into maintainable backend systems using Python/FastAPI, PostgreSQL, and role-based access control.

At Tecnofuzion Technologies, I built scalable backend services for AI-enabled platforms, including image analysis, interview workflows, and cost estimation modules. I migrated healthcare platform data from Firebase to Supabase by designing PostgreSQL schemas, SQLAlchemy models, and Alembic migrations, and I implemented RBAC and admin portal controls to protect sensitive user data. I also integrated PostgreSQL and MongoDB layers with Next.js/Tailwind CSS applications and deployed/maintained backend APIs on Linux while collaborating with frontend and product teams.

As a Backend Developer Intern at the University of Management and Technology, I designed a secure HR backend in FastAPI to digitize faculty track selection. I engineered a 4-level RBAC permission system (HR, Deans, CODs, Faculty) enforcing strict data isolation, and I developed state-dependent REST APIs for portal opening, submission tracking, data verification, and system locking. I strengthened maintainability through modular routes, clean data models, structured API responses, and reusable service logic, while managing optimized PostgreSQL schemas and migrations with Alembic.

My projects keep me close to applied AI and product-ready backend work. I’ve built an AI-driven virtual education platform with RBAC dashboards and live class integration, an AI resume analyzer/builder with structured parsing and generation workflows, and an NLP-based research paper recommender using BERT-based similarity matching—alongside voice and computer-vision systems like an ESP32 smart home assistant and YOLO-based face recognition attendance.