Professional Overview
I help businesses automate complex workflows using AI, LLMs, and scalable cloud infrastructure. From intelligent automation systems to production-ready AI applications, I build reliable solutions that save time, reduce operational costs, and improve business efficiency using Python and modern AI frameworks.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Designed and deployed AI-powered automation systems using Python, LangChain
- Developed and maintained LLM-based applications using LangChain
- Collaborated with teams to architect scalable cloud-based AI systems
- Conducted testing, debugging, and optimization of AI systems
Key Achievements / KPIs
- Increased workflow efficiency by 60%+ through AI-powered automation systems.
- Designed and deployed scalable LLM workflows
- Reduced client operational costs by 40% by implementing intelligent automation
- Improved lead processing and response time by 70% .
Education
Field of Study: Ai Agents and Agentic Ai
Field of Study: Ai & Machine Learning Engineer
Areas of Expertise
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
AI Business, Marketing & Strategy
Apply AI to marketing automation, content generation, customer segmentation, and revenue growth strategies.
