Sultan Khan

Artificial Intelligence student with hands-on experience building end-to-end ML systems — from custom-trained CNN and YOLO models to agentic AI systems with autonomous tool use, RAG, voice I/O, and computer vision. Comfortable across Python, FastAPI, Unity (C#), and modern LLM stacks (Groq, Whisper, Kokoro). Strong focus on shipping working prototypes, not just notebooks. Open to ML Engineer, AI Engineer, Agentic AI, and Backend roles — remote or on-site.

Data / ML Intern - Sybrid - Islamabad / Remote

(2025-05 - 2025-07)

320 hours

• Built and curated training datasets and ETL pipelines feeding internal ML workflows.
• Set up a vector database and prototyped an internal RAG chatbot using sentence-transformer embeddings and an LLM backend.
• Trained and iterated on the RAG pipeline using a custom bash automation script, enabling repeatable end-to-end experiments without manual setup.

Software Intern - KeyMech - Wah Cantt, Pakistan

(2024-07 - 2024-09)

320 hours

• Shipped cross-platform mobile features and REST API integrations used by field maintenance teams.
• Owned production build pipelines and worked with backend engineers to debug live data sync issues.

Audit Intern - Seasons Foods - Lahore, Pakistan

(2023-08 - 2023-09)

240 hours

• Performed inventory audits and reconciliations; flagged process gaps that reduced count variances.

BS - Artificial Intelligence - Pak-Austria Fachhochschule Institute of Applied Sciences and Technology (PAF-IAST) (2022-10 - 2026-06)

Intermediate - ICS — Pre-Engineering - Jinnah Jame School & College (2020 - 2022)

Matriculation - Science - Jinnah Jame School & College (2018 - 2020)