Kelyn Njeri
Vol. 01 · Portfolio & Field NotesAvailable Q2 2026

Kelyn Paul Njeri — Senior / Principal Engineer

Distributed systems,
data platforms,
and applied ML.

Eight years architecting production backends, data infrastructure, and ML systems across fintech, logistics, and healthtech. Co-founder & CPO at DataQRL. Currently open to senior consulting engagements and staff/principal engineering roles.

Experience
8+ yrs
Founded
4 cos
Papers
04
Fig. 01 — reference architectureest. 2018
DataQRLBackbone TechnologiesPowWaterSonolabsNaya LabsMIT Applied Data ScienceLaikipia UniversityDataQRLBackbone TechnologiesPowWaterSonolabsNaya LabsMIT Applied Data ScienceLaikipia UniversityDataQRLBackbone TechnologiesPowWaterSonolabsNaya LabsMIT Applied Data ScienceLaikipia University
01 — Selected work

Three engagements
that show the work.

02 — Practice

Three disciplines,
one engineer.

01 / 03

Distributed Backends

Event-driven systems, gRPC, microservices in Go/Node/Python. Sub-100ms APIs, Kafka pipelines, K8s on AWS & GCP.

  • →Go · NestJS · FastAPI
  • →Kafka · RabbitMQ · gRPC
  • →AWS ECS · K8s · Terraform
02 / 03

Data Platforms

End-to-end data governance, lineage, and entity resolution at scale. From schema to dashboard.

  • →Splink · Dask · DuckDB
  • →Postgres · Neo4j · Qdrant
  • →Airflow · dbt · Spark
03 / 03

ML & Causal Systems

Production ML, causal inference, and applied research. Drug discovery, anomaly detection, recommendation.

  • →PyTorch · TensorFlow
  • →DoWhy · Causal Inference
  • →RL · VAE · GNN
03 — Outcomes

Numbers that matter.

8+
Years shipping production systems
<100ms
API latency at Backbone fintech
50%
Faster delivery — PowWater dispatch
97%
Molecular validity — NeoRx VAE