About Julian

Soft Skills

Experience

1. KKR — Boston, MA

   Global investment firm focused on private markets, strategic capital, and enterprise data operations.

   Data EngineerDec 2023 — Present

   • Supported reinsurance data pipelines spanning 40+ data providers, 1,600+ feeds, and over $5B in modeled cashflows.
   • Proposed, designed, and maintained four internal tools that reduced data validation and incident-resolution time by roughly 50%.
   • Built a live internal data catalog and centralized monitoring framework for warehouse resources and pipeline health.
   • Implemented an abstract syntax tree (AST) SQL lineage parser with LLM fallback and LLM-as-a-judge validation.
   • Mentored junior team members and supported rollout and onboarding of AI tooling for core infrastructure teams.
2. AlgoSeek LLC — New York, NY

   Financial data provider delivering proprietary datasets and workflows for quantitative and machine learning research.

   Quant and Machine Learning EngineerFeb 2022 — Dec 2023

   • Authored an example repository of Jupyter notebooks demonstrating data preparation, model training, and strategy backtesting on proprietary data.
   • Built data I/O pipelines, preprocessing workflows, and MLflow model-tracking examples with IaC-controlled EMR training in AWS.
   • Added mixed-period custom indicators, trained 3+ models, and backtested 10+ strategies using PySpark and Backtrader.
   • Produced practical onboarding examples for setting up AWS-based MLOps workflows for quant finance use cases.
3. ML4Trading (Stefan Jansen) — New York, NY

   Machine learning research and tooling for systematic trading workflows and educational quant engineering.

   Quant Research InternMay 2022 — Jan 2023

   • Assisted with research and implementation of machine learning models for Machine Learning for Trading.
   • Built ML-framework plugins for backtesting libraries that used strategy performance as a training loss/cost signal.
   • Developed gradient-boosted, time-series, and LSTM models for intraday and daily return and volatility forecasting.
4. AlgoTech Capital Management — Boston, MA

   Built no-code technologies for algorithmic trading, model development, and automated portfolio management.

   Lead Data EngineerApr 2021 — Dec 2023

   • Led development of an intraday MLOps platform in Python using Amazon SageMaker, Glue, Kinesis, and EMR.
   • Built data pipelines to exfiltrate 6+ TB, convert SAS datasets to Parquet, and load cloud-native data lake storage.
   • Engineered model-training and strategy-development features in Python and Spark.
   • Implemented stream processing, broker-order execution, and strategy lifecycle management services.
   • Built 15 models, 20+ strategies, and 3 portfolio-management algorithms for production live and paper trading environments.

Education

Accomplishments