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awaisahmed01

Awais Ahmed

@awaisahmed01

AI Engineer, RAG Chatbots, LLMs, Computer Vision Data Science

Pakistán
Inglés, Urdu
Parte de la información aparece en idioma inglés.
Sobre mí
Hi, I'm Awais, an AI Engineer and Data Scientist with 3 years of production experience for global brands and banks. I build custom RAG chatbots and private, offline LLM assistants (Llama, Ollama, LangChain), computer vision systems (YOLO object detection, OpenCV), machine learning models in Python, and data science dashboards. Recent work: a bank chatbot on a local Llama 3.1 model, CV models that cut manual work by 60%, and analytics on 240,000+ tickets. Clean code, clear docs, on-time delivery.... Lee más

Habilidades

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awaisahmed01
Awais Ahmed
desconectado • 
Tiempo medio de respuesta: 1 hora

Revisa mis servicios

Implementación y despliegue de IA
I will develop computer vision, machine learning, ai systems
Aprendizaje automático
I will do machine learning, deep learning, computer vision projects

Porfolio

Experiencia laboral

Associate AI Engineer

SuperAnnotate

Dec 2024 - Present • 1 yr 11 mos

I build scalable APIs, AI agents, RAG pipelines, and automation tools using Python, LangChain, and vector databases—with a strong focus on reliability, performance, and security. Engineering-first approach: Clean architecture, cloud-native deployment, clear documentation, and maintainable code. If you’re building AI-powered infrastructure, I’ll help you ship it the right way—from MVP to production.

Resource_Linked

Associate AI Engineer

Resource Linked • Tiempo completo

Jan 2023 - Present • 3 yrs 10 mos

Build and deploy production AI systems for global brands and banks. Built an offline RAG chatbot for a commercial bank on a local Llama 3.1 8B model (Ollama, LangChain, ChromaDB), with a FastAPI API and Streamlit UI. A custom web crawler indexed 80+ pages, and responses come back in under 10 seconds. Built a RAG analytics assistant for a Fortune 500 beauty brand that answers KPI questions across 5+ markets. Automated Tableau reporting, saving about 4 hours a week. Built an LLM oral assessment system for a global electronics brand, covering NLP preprocessing and prompt-engineered scoring. Deployed YOLO object detection models and ML pipelines for two global consumer brands, cutting manual task time by 60%.