Bibek DhakalAssociate AI / Machine Learning Engineer
I build machine-learning systems, from the model to the service around it, and test them before I trust them.
I have a software engineering background and I work across evaluation-first modelling, ML services (APIs, containers, CI), and LLM fundamentals. Each project on this site says what it shows and what it doesn't.
0.94 → 0.64
Precision@50 once whole clients were held out (FlyRank capstone)
>90%
Test coverage strictly enforced in CI for the TabTrace ML pipeline
0
Boilerplate Python code required to serve a new model via ModelGate
0.85
5-fold CV ROC-AUC, churn model (logistic regression beat tree ensembles)
PyPI
LexiByte: BPE tokenizer built from scratch and published
Four areas, each backed by code or a write-up you can open.
Applied ML & evaluation
Framing a problem, choosing an honest validation design, and comparing against simple baselines.
ML services & MLOps
Turning a model into something that runs, is validated at its edges, and can be released repeatably.
LLM & inference fundamentals
Learning-scale implementations that show how the pieces work, plus a lightweight RAG agent.
Software engineering
Internships and contract jobs (2023–2025) building the apps and backends for various projects.
Longer write-ups covering the problem, what I decided, the numbers, and the limits.
FlyRank CTR Opportunity Scoring
Ranks pages whose CTR falls well below their position-and-content-type peers, so a reviewer sees the likeliest problems first. Includes a deliberate leakage audit and stated limits.
Customer Churn Risk Intelligence
Production-style churn pipeline: validated data contracts, tracked experiments, a Dockerized FastAPI service, and CI/CD, returning business-readable risk tiers.
Recent experience
AI / ML Engineering Intern · FlyRank AI
Jul 2026 – Sep 2026
Data Science & ML Apprentice · Skill Shikshya
Apr 2026 – Jun 2026
Full-Stack Engineer Intern · Walkers Hive IT Professionals
Oct 2025 – Dec 2025
What I'm looking for
- Associate ML Engineer
- Junior ML Engineer
- AI Engineer
- Entry-Level ML Engineer
Teams working on LLM applications, ML systems, inference optimization, intelligent backend services, and ML/data pipelines. Also open to MLOps / ML platform roles suited to an early-career engineer with hands-on Docker, FastAPI, and model-serving experience.
Before moving into ML I worked as a software engineer (Flutter, React, Next.js, FastAPI) through internships and contracts from 2023 to 2025, so I'm comfortable shipping the backend and app code around a model, not only the notebook.
Get in touch