Muhammad Haider Ali Khadim
I'm a Software Engineer and AI specialist with expertise in building production-ready generative AI solutions.
About
I’m a Software Engineer and AI specialist with expertise in building production-ready generative AI solutions. Currently pursuing a Master’s in AI at Stockholm University, I combine academic rigor with hands-on industry experience from my role as Team Lead Generative AI at Bank Alfalah.
I’ve led the development and deployment of multimodal AI chatbots, including customer-facing assistants and compliance tools, utilizing locally optimized LLMs for privacy-preserving, on-device inference. My work spans the full AI development lifecycle—from RAG systems with FAISS and Neo4j to real-time computer vision applications like ATM security monitoring using YOLOv5 across 110 live locations.
With a strong foundation in deep learning, NLP, and MLOps, I specialize in transforming complex AI research into scalable, user-friendly solutions. My technical toolkit includes Python, TensorFlow, LangChain, Streamlit, and cloud platforms like GCP. I’m passionate about leveraging AI to solve real-world problems, from environmental sustainability (my climate-focused final year project achieved 98% accuracy) to financial services innovation.
Recognized as part of the “Dream Team of Data Science” at Bank Alfalah and nominated for the PASHA ICT Award, I bring both technical excellence and collaborative leadership to every project.
- 2 years' experience
- Joined December 2025
Languages
- EnglishFluent
- UrduFluent
- Panjabi, PunjabiBeginner
- HindiAdvanced
Industry experience
- Software & Internet
- Financial Services
- Education
- Professional Services
- Media & Entertainment
More experts in Stockholm, Sweden
Work experience
Led development of a multi-model AI chatbot system enabling parallel inference across models (FAISS, Neo4j), including Hybrid Retrieval-Augmented Generation with knowledge graphs. Drove end-to-end development of an interactive Streamlit UI for real-time metrics, visual analytics, and deployment performance optimization on GPU/CPU. Oversaw AI assistants to ensure alignment with business requirements and regulatory standards. Coordinated cross-functional teams to deliver scalable AI solutions with measurable impact on customer support and risk management. Implemented automated PDF ingestion, entity and relationship extraction using LLMs, and dynamic query routing between vector graphs.
Led cross-functional teams to design, deploy, and scale multimodal AI chatbots and private LLM solutions for customer support and internal workflows. Built and deployed a multimodal AI chatbot system using a locally optimized LLM (Ollama 3.2, 3B parameters), enabling faster inferences and on-device privacy-preserving responses. Spearheaded AI-powered retail chatbot improvements, sentiment analysis dashboards, and security-focused features across branches and ATMs.
Led AI-driven initiatives across HR analytics, retail chatbots, sentiment dashboards, and anomaly detection. Built an interactive AI-powered HR assistant using LangChain, Google Generative AI, and large language models for intelligent document retrieval and user query resolution. Enabled seamless PDF storage, text vectorization, and similarity-based information retrieval with context-aware responses. Implemented an AI-powered retail chatbot to enhance customer support for banking services using Retrieval-Augmented Generation and LLMs. Developed sentiment analysis dashboard to monitor employee feedback with an interactive UI; built an ATM unusual activity detection system using YOLOv5 to improve security across 110 live locations; system detects and flags weapons, helmets, bags in real-time at ATM premises. Recognized as part of the Dream Team of Data Science.
Education
Hire Muhammad Haider Ali Khadim today
Post a job and invite Muhammad, or contact them directly. No hidden commission.