Hi, I'm aleph.

AI | Machine Learning | Backend | Cloud Infrastructure | Frontend | Mobile based in 🇩🇪.


Senior Full-Stack ML Engineer with 8+ years shipping end-to-end products. I specialize in owning technical projects from infrastructure architecture to polished user interfaces, with deep expertise in ML systems and AI integration.

I write about tech, language learning, and life on my blog. Reach me on LinkedIn or by email.


Languages
Python JavaScript/TypeScript SQL Rust Go Elixir C++
ML & AI
LLMs RAG LLM evaluation Structured outputs Agent tooling LLM observability Recommendation systems pgvector MMR reranking ONNX AWS Bedrock MLOps MLflow DVC Drift monitoring Model retraining vLLM Triton TensorRT-LLM Quantization KV-cache optimization Feast Kubeflow Distributed training LangGraph LangChain PyTorch TensorFlow Transformers Scikit-learn Spacy NLTK OpenCV
Backend
FastAPI Django Flask Pyramid Node.js Phoenix
Frontend
React React Native Next.js Vue.js
Infra
AWS GCP Kubernetes Docker Terraform Packer GitHub Actions ArgoCD Jenkins Nginx
Data
PostgreSQL MySQL MongoDB Snowflake Firebase Spark Pandas NumPy Polars Airflow Elasticsearch
Observability
Prometheus Grafana Loki
GPU
Nvidia CUDA

Work highlights

AI & ML

  • Recommendation & personalization engine - Owned model development, training, evaluation, batch and real-time serving, and production monitoring
    ML engineering Recommendation systems MLOps
  • Agentic travel concierge - Builds agentic AI search and a travel concierge at Secret Escapes, owning backend services and user-facing integration; capabilities span orchestration, tools, streaming, evaluation, and reliability
    LLMs Agentic search Agent tooling AI integration
  • RAG assistant & eval platform - Built retrieval-augmented applications with answer validation, quality evaluation, and operational monitoring
    RAG LLM evaluation Observability
  • Sentiment analysis pipeline - Owned production NLP from data preparation and model development through evaluation, deployment, and maintenance
    NLP ML engineering
  • NLP & content feature engineering - Built data preparation, feature development, quality evaluation, and monitoring workflows for ML applications
    NLP Feature engineering Data pipelines
  • Computer vision system - Developed and delivered applications for real-time video analysis
    Computer vision ML engineering

Infrastructure & Tooling

  • Real-time ML serving - Designed and operated reliable prediction APIs, including deployment, latency management, monitoring, and maintenance
    Model serving Backend engineering Observability
  • GPU autoscaling platform - Built orchestration, scheduling, and autoscaling for GPU training and inference workloads
    GPU workloads Autoscaling MLOps
  • Cloud resource CLI tools - Custom CLIs to scale, manage, and cost-optimize GPU training, inference, and ETL workloads
    Developer tools Cloud operations
  • Production cloud infrastructure - Designed cloud infrastructure with infrastructure as code, deployment automation, observability, and operational reliability
    Cloud infrastructure Infrastructure as code Reliability

Featured Projects

  • Portfolio agent

    Evidence-backed role assessments, bounded public-code inspection, observable execution and reproducible conversation evaluations. Explore the architecture and measured scorecard.

    • RAG
    • Structured outputs
    • Agent tools
    • LLM evaluation
    • Cloudflare

  • kotoba 言葉

    Full-stack AI language learning platform. Architected the backend APIs in FastAPI, deployed ML inference pipelines, built the React Native iOS app, and Next.js marketing site. Download on iOS

    • FastAPI
    • React Native
    • Next.js
    • Firebase
    • LLM Inference

  • nagare 流れ

    Hyper-lean, single-binary DAG orchestrator and workflow engine. A lightweight alternative to Airflow with zero external dependencies, YAML-defined pipelines, and a built-in web UI.

    • Go
    • TypeScript
    • Next.js
    • SQLite
    • Docker

  • ratchet

    A tool for giving AI coding agents a very particular kind of job: improve a measurable result, one iteration at a time. You hand that file to any AI coding agent and it runs an autonomous loop.

    • Rust
    • Coding Agents
    • AI

  • fastapi+docker boilerplate

    Cookiecutter template for FastAPI with Docker. Includes dev/prod/test configurations, Makefile shortcuts, environment-based settings, and uvicorn auto-reload for streamlined development and deployment.

    • FastAPI
    • Docker
    • Docker Compose
    • Cookiecutter
    • Uvicorn

    • Also worth a look

    • dependia - Python dependency management tool with visual tracking dashboard
      Python Docker Next.js
    • my japanese level - Japanese text analysis tool with custom kanji segmentation
      TypeScript Next.js
    • bardo ai summarizer - Rust API for content extraction and GPT-3 summarization
      Rust GPT-3 Fly.io
    • python way - Curated collection of Python learning resources with 100+ links
      Python Open Source
    GitHub Contribution Graph

    Music

    Beyond code, I enjoy songwriting as a creative outlet. Here are some tracks I've been working on.

    Languages

    I love learning languages and will know the most random things in the most random languages at different levels.

    Fluent
    Portuguese English
    Conversational
    German Spanish
    Basic
    French Italian Dutch Japanese Norwegian
    aleph
    Engineering
    aleph.fi

    Explore Aleph's work and background

    Ask about experience, projects, technical strengths, or writing relevant to his work.

    Experience, projects, technical strengths, and writing.
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