a
asif_kariim

Asif Karim

@asif_kariim

AI Engineer AI Automation RAG and LLM Integration FastAPI Developer

Pakistan
English, Urdu
About me
AI Engineer specializing in AI Automation, RAG, and LLM Integration. I build production-ready Generative AI systems using FastAPI, LangChain, and vector databases (Pinecone, Qdrant, FAISS) — including custom RAG pipelines, AI chatbots, and Voice AI Agents for booking, support, and call automation. I connect LLMs to real business workflows using n8n, REST APIs, and CRM/calendar integrations. Strong CS foundation in machine learning and system design, with hands-on freelance experience delivering AI Automation and Voice AI solutions for clients worldwide. Let's automate your business with AI.... Read more

Skills

a
asif_kariim
Asif Karim
Offline • 

See my services

AI Chatbot Development
I will build a rag chatbot trained on your pdfs and website
From$40 / projectMore details
Automations & Agents
I will build n8n ai agent workflows to automate your business
From$50 / projectMore details

Portfolio

Work experience

AI Enigineer

BeeNeural • Full-time

May 2024 - Present • 2 yrs 5 mos

I currently work as an AI ML Engineer at Beeneural, where I design, develop, and deploy production ready AI systems for real business environments. My role involves transforming AI concepts into scalable, secure, and maintainable solutions that integrate seamlessly into client workflows. One of the major projects I have worked on is a Retrieval Augmented Generation RAG based Knowledge Assistant. I designed the full pipeline including document ingestion, embedding generation, vector database integration, and LLM based response generation. Using LangChain and vector databases such as FAISS and Chroma, I built a system that allows organizations to query internal documents intelligently with contextual, citation aware responses. The solution was deployed as an API based service and optimized for performance and cost efficiency. I have also worked on GPT powered AI assistants for business automation. These systems were built to handle customer queries, internal knowledge support, and workflow automation. My responsibilities included prompt engineering, context management, memory optimization, API integration, and backend deployment using FastAPI. The final systems reduced manual workload and improved response efficiency significantly. Another key project involved NLP based text analysis and summarization tools. I developed models for classification, entity extraction, and intelligent summarization tailored to specific business use cases. These solutions were integrated into dashboards and internal platforms to assist in faster decision making. I have successfully delivered an end to end AI project from requirement gathering to deployment, including model training, fine tuning, testing, and cloud deployment. I ensured proper logging, monitoring, and scalability to support production traffic. At Beeneural, my focus is not just building models but engineering complete AI systems that are robust, scalable, and aligned with measurable business KPIs.