Sarosh Qaiser

AI Engineer with hands-on experience building agentic workflows, RAG pipelines, and multi-agent systems (LangGraph + React), and shipping production-ready ML models with Python, PyTorch, and TensorFlow. Skilled in designing end-to-end data pipelines, applying NLP and deep learning techniques, and deploying AI solutions at scale across computer vision, forecasting, and full-stack platforms.

AI/ML Engineer Intern at Netsol Technologies (2026-02 – 2026-06)

• Web-scraped and structured product and service data from the Netsol Technologies website using Python, building a clean, query-ready knowledge base for an internal AI assistant; designed the end-to-end RAG pipeline for accurate, company-specific responses.
• Deployed and hosted the LangGraph chatbot backend on AWS (EC2 + Docker), ensuring reliable, low-latency API performance in production.
• Built an automated document-processing pipeline for the marketing department, ingesting multi-format files and using LLM-based parsing to convert unstructured content into clean, structured data — cutting manual data-entry time for the team.

BS in Artificial Intelligence – University of Management and Technology (UMT) (2019-09 – 2024-05)