Dasun Wickramasooriya

ML Engineer & Go Backend Developer

Building intelligent systems and scalable backend infrastructure. Specializing in machine learning pipelines and high-performance Go services.

View ProjectsGet in Touch

About

curiosity

I'm a machine learning engineer and backend developer passionate about building intelligent systems and scalable infrastructure. With a strong foundation in both machine learning and distributed systems, I bridge the gap between data science and production engineering.

I specialize in developing ML pipelines that scale, Go services that perform, and backend systems that are maintainable. I've worked on projects ranging from real-time recommendation systems to high-throughput data processing platforms.

In my spare time, I'm interested in exploring new ML techniques, contributing to open-source projects, and writing about systems design. I believe in writing clean code and building products that solve real problems.

Based in Remote

Projects

Neural Cache System

High-performance caching layer for ML model predictions using Go and Redis. Reduced inference latency by 80% with intelligent prefetching.

GoRedisPythongRPC

Recommendation Engine

Real-time recommendation system processing 1M+ events daily. Built with collaborative filtering and neural embeddings.

PythonFastAPIPostgreSQLPyTorch

Data Pipeline Framework

Scalable ETL framework for processing and transforming large datasets. Handles petabyte-scale data with fault tolerance.

GoApache KafkaSparkProtocol Buffers

ML Model Server

Production ML serving platform with support for multiple frameworks. Handles canary deployments and A/B testing.

GoTensorFlowKubernetesDocker

Time Series Analytics

Backend service for time-series data analysis and forecasting. Optimized queries return results in milliseconds.

GoClickHouseTimescaleDBGrafana

Vector Search Engine

Semantic search platform using embeddings. Powers similarity search across millions of documents in real-time.

PythonRustFAISSElasticsearch

Skills

ML & Data

  • PyTorch
  • TensorFlow
  • Scikit-learn
  • XGBoost
  • FAISS
  • LLMs
  • Neural Networks
  • NLP

Backend

  • Go
  • Python
  • gRPC
  • REST APIs
  • Microservices
  • Docker
  • Kubernetes

Databases

  • PostgreSQL
  • Redis
  • MongoDB
  • ClickHouse
  • TimescaleDB
  • Elasticsearch

Tools & Infra

  • Apache Kafka
  • Spark
  • Git
  • CI/CD
  • AWS
  • GCP
  • Linux