AI/ML ENGINEER
Applied AI • Machine Learning • GenAI Systems
An Applied AI / Machine Learning Engineer focused on building end-to-end systems - from data pipelines and models to APIs, retrieval systems, and production deployment.
Toronto, ON
Building end-to-end ML, RAG, and deployable AI systems.
Featured Work
A selection of projects across retrieval-augmented generation, OCR-based document intelligence, machine learning APIs, and forecasting workflows.
Project reel
Featured Project
A full-stack AI-powered municipal by-law assistant that combines RAG, pgvector semantic retrieval, Redis and Celery background processing, S3-based document storage, and FastAPI backend services to deliver structured, citation-backed answers through a production-style architecture.
What I Build
My work sits at the intersection of machine learning, applied AI, backend engineering, and production-oriented system design.
Building practical ML workflows from data preparation and feature engineering to training, evaluation, and inference.
Designing retrieval-based AI applications that combine document ingestion, embeddings, search, and grounded response generation.
Turning models and AI workflows into usable products with API services, containers, async jobs, and cloud-ready architecture.
Experience Snapshot
My background in application development helps me approach machine learning work with a stronger focus on APIs, usability, maintainability, and end-to-end delivery.
Aalaya Soft-tech Pvt. Ltd., Nepal
Developed and maintained Flutter applications integrated with REST APIs and analytics modules.
Collaborated with backend teams to design APIs and implement data-driven features.
Mentored interns, reducing bug backlog by 20% and improving delivery speed by 20%.
Built production systems with a strong focus on performance, maintainability, and user experience.
Yeti Tech Pvt. Ltd., Nepal
Developed Flutter application features with responsive, user-focused interfaces.
Integrated REST APIs and supported mobile app data flows across client-facing features.
Worked with the development team to debug issues, refine app behavior, and improve reliability.
Varosa Technology
Supported Flutter application development while learning production mobile development workflows.
Built and refined UI screens, reusable widgets, and mobile layouts from design requirements.
Assisted with debugging, testing, and improving app behavior across development tasks.
Education
A combination of postgraduate study in AI and Data Science and an earlier computing degree that built my software and technical foundation.
Post-Graduate Certificate in Artificial Intelligence & Data Science
Focused on machine learning, data science, applied AI systems, and project-based development. This program helped deepen my work across retrieval systems, forecasting, model evaluation, and deployment-ready AI applications.
BSc (Hons) in Computing
Built my core foundation in computing, programming, software development, and problem solving. This degree helped shape the engineering mindset that now supports my work in machine learning systems and applied AI projects.
Let’s Connect
I’m currently building projects in machine learning, retrieval systems, and deployable AI products. If you’re hiring for ML or Applied AI roles, I’d be glad to connect.
