Professional Overview
AI Engineer & Computer Science student specializing in building agentic systems, multi-agent workflows, and RAG pipelines. Proficient in Python, LangGraph, CrewAI, and FastAPI, with hands-on experience developing production-grade backend infrastructure and award-winning AI vision systems. Passionate about automation and solving complex problems.
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.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
