Akif Aziz
AI Engineer and Computer Science undergraduate with hands-on experience designing enterprise-grade multi-agent systems, Retrieval-Augmented Generation (RAG) pipelines, and full-stack AI applications.
About
AI Engineer and Computer Science undergraduate with hands-on experience designing enterprise-grade multi-agent
systems, Retrieval-Augmented Generation (RAG) pipelines, and full-stack AI applications. Proficient in Python, FastAPI,
LangChain, LangGraph, and modern LLM frameworks (OpenAI GPT-4o, Anthropic Claude, Mistral, Ollama, vLLM). Skilled in
vector databases (Pinecone, ChromaDB), knowledge graphs (Neo4j, Memgraph), and containerized application deployment
with Docker. Proven track record of translating business requirements into scalable AI solutions that reduce manual
processing time by 60%+, with a strong foundation in machine learning, NLP, and prompt engineering.
- 1 year's experience
- Joined September 2026
Skills· 23
Languages
- EnglishFluent
- UrduFluent
- Panjabi, PunjabiFluent
Industry experience
- Software & Internet
- Professional Services
- Computers & Electronics
- Government
- Transportation & Logistics
- Education
- Financial Services
More experts in Islamabad, Pakistan
Work experience
● Engineered enterprise-level multi-agent systems leveraging LangChain and LangGraph frameworks, streamlining business operations and achieving 60%+ reduction in manual processing time. ● Implemented AI-powered solutions utilizing OpenAI GPT-4o, Anthropic Claude, and Mistral models through API integrations and local deployments with Ollama and vLLM for optimized inference. ● Developed advanced RAG architectures incorporating vector databases (Pinecone, ChromaDB) and knowledge graphs (Neo4j, Memgraph) to enable contextual search and complex query resolution. ● Created scalable web automation solutions with Selenium, Playwright, and Scrapy, implementing intelligent parsing strategies, proxy management, and high-volume data extraction workflows. ● Facilitated requirement gathering sessions with business teams, translating functional needs into comprehensive technical specifications and actionable development plans. ● Leveraged PyTorch, TensorFlow, and scikit-learn frameworks for implementing NLP pipelines, building predictive models, and developing computer vision applications. ● Deployed containerized applications using Docker, ensuring consistent, reproducible environments across development and production. ● Orchestrated integration of REST/GraphQL APIs with enterprise SaaS platforms, creating cohesive AI automation systems that streamline cross-platform data workflows.
Education
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