Skills

• Machine Learning: deep learning, reinforcement learning, large language models, multi-agent systems, parameter-efficient fine-tuning (LoRA), computer vision
• LLM Systems: retrieval-augmented generation, vector databases, knowledge graphs, MCP server development, LLMOps
• Voice AI: automatic speech recognition, text-to-speech, speech-to-speech pipelines, voice cloning
• Programming and Tools: Python, PyTorch, TensorFlow, TypeScript, React, FastAPI, Git, Docker
• Cloud and Databases: AWS, GCP, Azure, PostgreSQL, Neo4j, Elasticsearch
• Languages: English (fluent), Urdu (native), Korean (intermediate, TOPIK Level 2)