Professional Overview
I am an AI/ML Engineer with a strong foundation in Applied and Computational Mathematics and hands-on experience developing machine learning and Generative AI applications. Currently working as an AI Developer, I have experience with Python-based development, backend technologies, data extraction, web scraping, database integration, and collaborative software development. My work involves building practical solutions using technologies such as Django, PostgreSQL, MongoDB, Git, and modern AI development tools.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Developed and deployed backend systems for client-facing dashboard application
- integrated PostgreSQL and MongoDB databases for structured and NoSQL
- Containerized and deployed applications using Docker
AI Expertise
Skills
Employment Type
Description of Responsibilities
- AI-powered news summarization pipeline using LangChain, LangGraph, Gemini APIs
- Developed a React.js and Node.js demo dashboard for generating personalized news
- Developed production-ready REST APIs using FastAPI to expose AI/news-processing
Education
Field of Study: Applied Mathematics
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.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
