Laavanjan User
@laavanjanuser
AI/ML Engineer building Adaptive RAG, agentic AI, and scalable MLOps pipelines.
What I'm looking for
I’m an AI/ML Engineer undergraduate focused on Machine Learning, Generative AI, and NLP. I build Adaptive RAG pipelines and agentic AI architectures that connect directly to Claude/OpenAI APIs, and I care deeply about making LLM systems reliable in production.
In internships, I developed end-to-end ML inference pipelines with FastAPI, engineered regression and classification workflows to production-readiness, and optimized LLM infrastructure by migrating from GPT-based models to self-hosted Ollama to reduce API costs and improve data privacy. I also built an automated ethical code analysis system that clones repositories and evaluates source code across 11 ethics pillars with evidence-backed, actionable fix suggestions.
Across projects, I’ve shipped scalable solutions: an MLOps pipeline for hotel reservation cancellation prediction with CI/CD via Jenkins and deployment to Google Cloud Run, BERT-based sarcasm detection using reproducible training workflows, and YouTube comment sentiment analysis deployed on AWS with monitoring via MLflow and versioning with DVC. I’m passionate about building systems that can learn from feedback, route knowledge intelligently, and deliver measurable performance.
Experience
Work history, roles, and key accomplishments
AI Intern
Prime Technologies
Jan 2026 - Jul 2026 (6 months)
Developed an AI-powered behavioral assistance system with prompt orchestration, document extraction, and web scraping pipelines. Migrated LLM infrastructure from GPT-based models to self-hosted Ollama to reduce API costs and improve privacy for on-premise deployments, and delivered the system using FastAPI with supporting tooling.
AI and Ethical Engineering Intern
Ethiksa
Oct 2025 - Mar 2026 (5 months)
Built an automated ethical code analysis system that clones Git repositories and evaluates code against 11 ethics pillars, producing evidence-backed per-pillar scores and fix suggestions. Developed an Adaptive RAG retrieval backbone to reduce hallucinations via dynamic routing to relevant knowledge sources.
Machine Learning Engineer Intern
Technocolabs Softwares
Jun 2025 - Jul 2025 (1 month)
Performed data preprocessing, EDA, and feature engineering on large datasets to improve model performance. Built and benchmarked regression models, with XGBoost achieving the highest accuracy for production deployment, and delivered an inference pipeline integrated with a FastAPI REST service.
Education
Degrees, certifications, and relevant coursework
University of Moratuwa
Bachelor of Science (Honours), Artificial Intelligence
2023 -
Grade: 3.62/4.00
Activities and societies: Dean's List recognition in the 2nd semester (outstanding academic performance).
B.Sc. (Hons) in Artificial Intelligence (2023–present) with CGPA of 3.62/4.00. Achieved Dean's List recognition in the 2nd semester for outstanding academic performance.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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