Professional Overview
I am an AI & Full-Stack Engineer specializing in building production-ready GenAI platforms and scalable backends. I built Code Forge AI, a live RAG platform that performs semantic indexing on complex repositories using Python, FastAPI, and PostgreSQL. I love turning messy data into reliable system workflows and clear user experiences.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Developed AI-powered features using Kotlin and Jetpack Compose to optimize nativ
- Integrated generative AI capabilities into production workflows by building sec
- Collaborated with senior developers in an Agile/Scrum environment to debug compl
Key Achievements / KPIs
- Increased application user engagement by 15% via smart AI features.
- Reduced application crash rates by 20% using Kotlin Coroutines.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built Code Forge AI, a live RAG repository platform using FastAPI.
- Shipped production web apps with React, TypeScript, and microservices.
- Translated client business goals into secure database designs
Key Achievements / KPIs
- Reduced frontend application page-load latency by 25%.
- Deployed automated repository indexing with 100% data ingestion accuracy
Education
Field of Study: Information Science and Engineering
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.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
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.
