Kenneth Wilber
Boston,MA
Summary
Software engineer with experience in machine learning, large-scale data processing, and full-stack web development. Skilled in Python (PyTorch), TypeScript, C++, and SQL, with a track record of building tools for document analysis, LLM integration, and client-side applications.
Overview
3
3
years of professional experience
Work History
Software Engineering Intern
DragonGC
Greenwich, CT
04.2024 - 08.2025
- Built and scaled end-to-end processing pipelines for SEC filings including 10-K, 10-Q, S-1, DEF 14A, and 8-K.
- Designed LLM-driven semantic tagging systems (alias/keyword generation, heuristic rules), improving tag accuracy and recall across filings.
- Led the IPO-readiness initiative by implementing the full S-1/S-1A pipeline and QA process, enabling DragonFind to support IPO filings.
- Technologies: TypeScript, SQL, Docker, Svelte, Serverless Functions, Vercel
Software Engineering Intern
Chess.com
Remote
05.2022 - 08.2023
- Contributed to projects used by millions of chess players worldwide.
- Optimized Torch (now the world's #2 chess engine) by designing sparse neural network execution improvements, boosting speed 20% and cutting scaling costs (100% network growth → 35% cost). Enabled training of much larger networks.
- Built core C++ modules for Botchat (AI Chess Coach) to detect advanced board patterns, powering instruction features used by over 11 million players.
Education
Bachelor of Arts - Computer Science
Boston University
Boston, MA05-2028
Bachelor of Science - Computer Science
Case Western Reserve University
Cleveland, OHRelevant Links
- Portfolio: https://kennethwilber.us
- GitHub: https://github.com/kawgit
- LinkedIn: https://www.linkedin.com/in/kenneth-wilber
Projects
For a better viewing experience, see my digital projects portfolio at https://kennethwilber.us
- Custom Language Model: Developed a transformer-based language model from scratch in PyTorch, including a byte pair encoding tokenizer with a novel deduplication scheme. Integrated Weights & Biases training logs and implemented a “grafting” technique to transfer weights between model sizes for faster training. Example generation (thumbnail) was trained exclusively on Harry Potter within 30 minutes on a MacBook.
- Chess Engine: Lightweight chess engine written in JavaScript with a C++ backend. Implements bitboards, selective search heuristics, and alpha-beta pruning for efficient position analysis.
- Video-Based Point Cloud Generator: Implemented a computer vision pipeline to reconstruct approximate 3D point clouds from videos using feature tracking and projection with OpenCV.
- 3D Model Renderer: Built a custom 3D graphics renderer from first principles by rasterizing triangles directly to the screen. Implemented projection, transformation, and shading pipelines without external 3D libraries.
References
References available upon request.
Timeline
Software Engineering Intern
DragonGC
04.2024 - 08.2025
Software Engineering Intern
Chess.com
05.2022 - 08.2023
Bachelor of Arts - Computer Science
Boston University
Bachelor of Science - Computer Science
Case Western Reserve University
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