Archana Tharammal
As an AI/ML Engineer with an MSc in Data Science from Heriot-Watt University, I specialize in designing and deploying machine learning models and data-driven systems to solve complex real-world problems.
About
As an AI/ML Engineer with an MSc in Data Science from Heriot-Watt University, I specialize in designing and deploying machine learning models and data-driven systems to solve complex real-world problems.
My expertise spans predictive modeling, feature engineering, model optimization, and LLM-based agents. I build end-to-end AI solutions, including conversational AI systems and real-time ML pipelines, leveraging automation workflows and vector databases to deliver scalable, low-latency, and production-ready systems that generate actionable insights.
- 1 year's experience
- Joined November 2025
Skills· 14
Languages
- EnglishAdvanced
- MalayalamAdvanced
- TamilIntermediate
- HindiIntermediate
Industry experience
- Software & Internet
- Healthcare
- Education
- Professional Services
- Real Estate & Construction
- Media & Entertainment
More experts in Dubai, United Arab Emirates
Work experience
Designed and deployed WhatsApp chatbots using WAHA and n8n workflows for real estate and healthcare clients. Gathered requirements, translated needs into conversation flows, and iterated on prompts from feedback. The chatbots handled routine inquiries, resolving an estimated 65% of common customer queries without human intervention and reducing average first-response time by 40% in pilot deployments. Implemented an e-commerce chatbot integrated with WooCommerce & MCP Server, built APIs between storefront and chatbot, and established session management and cart workflows, achieving 55–70% improvement in automated order handling. Developed a web crawler with Crawl4AI to extract content and index it into a Qdrant vector database, powering multilingual RAG pipelines and multi-channel chatbots (web, WhatsApp, Telegram). Created a production UI enabling clients to generate live chatbots from their website link. Ongoing work includes an AI-driven audio sentiment analysis system for hospital
Education
Certifications and awards· 10
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