Looking for a job

la sso

@lasso

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I build production machine learning, RAG, and data applications.

Nepal

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What I'm looking for

I'm particularly interested in ML Engineering, AI Engineering, and building production AI systems.

I'm building production machine learning, RAG, and data applications as a BSIT student specializing in Data Science. My work spans data preparation, feature engineering, model development, API integration, evaluation, observability, containerization, CI/CD, and cloud deployment.

I built an end-to-end LLMOps platform for document ingestion, vector retrieval, LLM inference, evaluation, and observability using FastAPI, Qdrant, Groq, Gemini, RAGAS, Langfuse, Prometheus, and Grafana. I also implemented authentication, streaming, structured logging, testing, Docker-based services, and GitHub Actions workflows.

I trained an XGBoost accident-severity model on 152,445 records with about 85% accuracy and deployed a FastAPI prediction service. I've also built a Flask volunteer-management platform and a Streamlit Premier League score prediction app.

Experience

Work history, roles, and key accomplishments

Accident Analytics & Predictive Model Developer

Personal Project

Built a large-scale accident analytics and machine learning system to predict road accident severity on Nepal's Prithvi Highway. Trained and optimized XGBoost models on 152,445 accident records, achieving ~85% accuracy.

XGBoost fastAPI Docker Render PostgreSQL CI CD Geospatial Mapping

Full-Stack Developer

Personal Project

Developed a production-grade full-stack Flask web application connecting volunteers with community organizations. Implemented secure authentication, RESTful APIs, and a Docker-based CI/CD pipeline.

Flask PostgreSQL SQLAlchemy Flask Login OAuth Docker GitHub Actions Render Gunicorn Bootstrap 5 Jinja2

LLMOps Platform Developer

Personal Project

Built an end-to-end LLMOps platform covering document ingestion, chunking, embeddings, vector retrieval, LLM inference, evaluation, observability and deployment. Engineered RAG services using FastAPI, SentenceTransformers, Qdrant, Groq and Gemini, with semantic retrieval and cross-encoder reranking.

fastAPI Sentence Transformers Qdrant GROQ Gemini RAG Ragas Langfuse Prometheus Grafana Docker GitHub Actions CI CD

Machine Learning Engineer

Personal Project

Built an end-to-end machine learning system to predict Premier League match scores using historical data and regression models. Developed an interactive Streamlit web app for real-time score prediction.