Professional Overview
AI Engineer with 7+ years of experience in Generative AI, Machine Learning, NLP, and Data Science. Skilled in building LLM applications, RAG systems, AI agents, chatbots, and scalable AI solutions using Python, FastAPI, LangChain, OpenAI, and cloud platforms. Experienced in end-to-end AI product development and deployment.
Experience
AI Expertise
Skills
Description of Responsibilities
- Built and deployed production-grade LLM applications, AI agents, and RAG-based
- Developed scalable AI APIs and microservices using Python, FastAPI, and cloud pl
- Fine-tuned, evaluated, and optimized ML and NLP models for business use cases.
- Designed end-to-end data pipelines, vector database integrations, and MLOps work
- Collaborated with cross-functional teams to deliver AI solutions
Key Achievements / KPIs
- • Built AI systems serving 10,000+ monthly users across multiple business
- Increased information retrieval accuracy from 70% to 92% using vector search
- Reduced operational costs by 30% through AI-driven automation and optimization.
- Successfully deployed and maintained 20+ production AI/ML applications.
Areas of Expertise
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.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
AI Business, Marketing & Strategy
Apply AI to marketing automation, content generation, customer segmentation, and revenue growth strategies.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
