PROFESSIONAL EXPERIENCE Associate AI Engineer – Oak Street Technologies, Gulberg Green, Islamabad September 2025 – Present Developing and scaling an enterprise AI-powered SQL retrieval and chatbot platform using multi-agent architectures. Designed a supervisory agent to route queries to specialized client- and employee-level agents. Enhanced chatbot intelligence with long-term memory, contextual reasoning, and multi-intent handling. Optimized RAG pipelines, vector databases, and caching to reduce response latency and improve scalability. Implemented RBAC and fine-grained permissions to ensure secure, role-based enterprise data access. Building action-oriented agents enabling automated email and client communication workflows via the chatbot. Collaborating cross-functionally to integrate LLM-based agentic systems with enterprise data infrastructure. AI Intern – Oak Street Technologies, Gulberg Green, Islamabad June 2025 – August 2025 Researched and implemented AI-based solutions using LangGraph and Large Language Models (LLMs). Built an AI-powered SQL retrieval agent that converted natural language queries into optimized SQL using Retrieval-Augmented Generation (RAG). Developed a context-aware chatbot agent with document grounding for intelligent query handling. Integrated pipeline orchestration and retrieval mechanisms using LangGraph and vector databases. AI Intern – Nokia Pakistan, H-8/4, Islamabad July 2024 – August 2024 Conducted research on Net Promoter Score (NPS), Customer Satisfaction (CSAT), and Churn Rate analysis. Designed a web page to monitor customer experience using Flask, React.js, and HTML/CSS. Utilized AI to predict customer experience trends and experimented with LLMs for automated report generation. PROJECTS: Final Year Project – Instructo AI-powered educational platform offering personalized video lectures, real-time Q&A, and interactive visualizations in a 3D virtual classroom. Features an AI teaching assistant, voice/text input, and progress tracking. [Generative AI, Node.js, React, Next.js, Supabase] PaperGenie Developed an AI research assistant that fetches and summarizes arXiv papers using NLP models, generating BibTeX citations and downloadable reports via an interactive UI. [Python, HuggingFace, Gradio] AI-Powered Multi-Agent Research Assistant - Student Research Assistant Built an AI-powered research assistant with multi-agent architecture (supervisor + 5 worker agents) for document summarization, code analysis, citation formatting, and academic search. Implemented real-time streaming, OCR, speech-to-text, and PDF export features. [Python, FastAPI, LangGraph, LangChain, Groq API, Supabase, EasyOCR]…PROFESSIONAL EXPERIENCE Associate AI Engineer – Oak Street Technologies, Gulberg Green, Islamabad September 2025 – Present Developing and scaling an enterprise AI-powered SQL retrieval and chatbot platform using multi-agent architectures. Designed a supervisory agent to route queries to specialized client- and employee-level agents. Enhanced chatbot intelligence with long-term memory, contextual reasoning, and multi-intent handling. Optimized RAG pipelines, vector databases, and caching to reduce response latency and improve scalability. Implemented RBAC and fine-grained permissions to ensure secure, role-based enterprise data access. Building action-oriented agents enabling automated email and client communication workflows via the chatbot. Collaborating cross-functionally to integrate LLM-based agentic systems with enterprise data infrastructure. AI Intern – Oak Street Technologies, Gulberg Green, Islamabad June 2025 – August 2025 Researched and implemented AI-based solutions using LangGraph and Large Language Models (LLMs). Built an AI-powered SQL retrieval agent that converted natural language queries into optimized SQL using Retrieval-Augmented Generation (RAG). Developed a context-aware chatbot agent with document grounding for intelligent query handling. Integrated pipeline orchestration and retrieval mechanisms using LangGraph and vector databases. AI Intern – Nokia Pakistan, H-8/4, Islamabad July 2024 – August 2024 Conducted research on Net Promoter Score (NPS), Customer Satisfaction (CSAT), and Churn Rate analysis. Designed a web page to monitor customer experience using Flask, React.js, and HTML/CSS. Utilized AI to predict customer experience trends and experimented with LLMs for automated report generation. PROJECTS: Final Year Project – Instructo AI-powered educational platform offering personalized video lectures, real-time Q&A, and interactive visualizations in a 3D virtual classroom. Features an AI teaching assistant, voice/text input, and progress tracking. [Generative AI, Node.js, React, Next.js, Supabase] PaperGenie Developed an AI research assistant that fetches and summarizes arXiv papers using NLP models, generating BibTeX citations and downloadable reports via an interactive UI. [Python, HuggingFace, Gradio] AI-Powered Multi-Agent Research Assistant - Student Research Assistant Built an AI-powered research assistant with multi-agent architecture (supervisor + 5 worker agents) for document summarization, code analysis, citation formatting, and academic search. Implemented real-time streaming, OCR, speech-to-text, and PDF export features. [Python, FastAPI, LangGraph, LangChain, Groq API, Supabase, EasyOCR]WWWW…