About
AI/ML engineer experienced in building Generative AI and agentic systems, including multi-agent orchestration with LangGraph, Retrieval-Augmented Generation (RAG) pipelines with vector embeddings (FAISS, Pinecone), and Model Context Protocol (MCP) integrations for tool-connected LLM workflows. Skilled in deep learning (CNNs, transfer learning with TensorFlow) and the full ML lifecycle, from data preparation through deployment on Docker and AWS. Currently a Data Science Intern at Regex Software Services, developing data pipelines and ML/agent components for production systems, with a strong foundation in backend API design (FastAPI/Flask) for LLM-driven applications.
Skills & Expertise (42)
Work Experience
Data Science Intern
Regex Software Services
Aug 2025 - Present
Engineered Threadline, a fault-tolerant order orchestration engine for an e-commerce computer-hardware platform, built with FastAPI and MySQL, using idempotent processing and automatic retries to prevent duplicate transactions and ensure reliable order fulfillment. Integrated Gemini-based LLM routing to parse free-text orders into structured data, cutting manual intervention. Implemented MCP and RAG-based components using LangChain to connect agent logic into the main application. Cleaned and transformed raw data and wrote MySQL queries for structured data used by ML pipelines. Automated order-processing workflows using n8n and Zapier to reduce manual data-handling steps.
Education
Bachelor of Computer Applications (BCA) - Modi Institute of Management and Technology
2022 - 2025 ยท Afghanistan
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Depends on Offer
Skills (42)
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