Robert robert Chilton

Senior Software Engineer - AI/ML

Lightedge

Mar 2020 - Oct 2025 (5 years 8 months)

• Led design and delivery of a multi-tenant NLP/GenAI platform on AWS, centered on PyTorch models fine-tuned with PEFT/LORA for classification, Q&A, and summarization; trained on SageMaker with spot instances and data in S3. • Built RAG pipelines using OpenSearch k-NN and FAISS for semantic retrieval; implemented chunking/embedding strategies, hybrid BM25+ANN search, and per-tenant prompt templates with guardrails. • Stood up high-throughput inference via TorchServe on EKS for encoder/seq2seq workloads and vLLM for LLM decoding (2023+), with token-level batching and autoscaling tied to queue depth. • Integrated managed foundation models where appropriate via Amazon Bedrock (GA 2023) alongside first-party PyTorch models; routed traffic by ta

Senior ML/AI Engineer

Appfolio

Feb 2018 - Jan 2020 (2 years)

• Built text classification and NER for property-management communications (work orders, tenant messages) using BERT-family encoders (2019+) in PyTorch, with Hugging Face Transformers; earlier models leveraged fastText embeddings and scikit-learn baselines. • Productionized training/inference on SageMaker (training jobs, Batch Transform, hosted endpoints) with data in S3; orchestrated ETL and retraining with Airflow and event-driven Lambdas. • Introduced MLflow for experiment tracking and model comparison; defined dataset versioning and evaluation suites to guard against label drift. • Delivered semantic search over maintenance logs using FAISS for ANN retrieval and BM25 for lexical fallback. • Exposed models through small Flask/FastAPI ser

Mid Data & ML Engineer

Blackbaud

Jan 2017 - Jan 2018 (1 year 1 month)

• Prototyped donor-engagement scoring with PyTorch RNN/CNN text models and spaCy/scikit-learn baselines; productionized the best model for batch scoring of campaign notes and messages. • Built data preparation pipelines for text normalization, PII scrubbing, and labeling; packaged batch inference via AWS Batch and EC2, storing outputs in S3 for downstream reporting. • Implemented simple NER with spaCy to enrich constituent profiles; validated gains against held-out campaigns. • Served inference behind a lightweight Flask API for internal tools (kept backend surface area intentionally small).

Junior Software Engineer / Internal Tools

Granicus

Jun 2015 - Dec 2016 (1 year 7 months)

• Built Flask admin tools with SQLite to orchestrate simulation scenarios and export telemetry; added RBAC/JWT and audit hooks. • Introduced CI for mixed Windows/Linux stacks with GitHub + Jenkins, PowerShell/Bash, and authored pytest suites.

Robert robert Chilton

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