皓

Software Engineer & ML Researcher

KenWu.

StatusSeeking Fall 2026 / New Grad — ML, Systems, SWE

Neo Scholar Finalist◆5x Hackathon Winner◆Stanford Code in Place Instructor◆URA · University of Waterloo◆Undergraduate Researcher · Lancaster University

七7

Internships

五5

Hackathon Wins

四4

Countries

人

素顔 — Beyond Code

Beyond Code

🇮🇹Born―🇨🇳Raised―🇨🇦Studying―🇺🇸Interned―🇬🇧Exchanged

球NBA

Fine-tuned an LLM on r/nba posts. Built an AI that roasts bad basketball takes on X.

将Chess

Mediocre player. Builds chess bots on the side to compensate.

哲Philosophy

Minor who thinks about AI alignment when not shipping ML pipelines.

余Off-duty

Basketball, poker, anime, and the occasional Leetcode grind.

経験

経験 — Experience

Experience

研

研究 — Research

University of Waterloo

With Prof. Ali Ghodsi & Amin Ravanbakhsh

Undergraduate Research AssistantML · Attention & symbolic regressionSep 2024 — PresentWaterloo, Canada · Remote

—Benchmarked symbolic regression at dataset scale, holding R² ≥ 0.99 whenever fits stayed numerically stable.
—Fine-tuned Symbolic GPT variants for roughly 19 percentage points higher in-domain accuracy.
—Ablated tokenizer and Point-Net configurations to balance R² against overall model complexity.
—Refined inference loops to reduce MSE and MRE consistently across standard benchmark suites.

♠Python♠

♠PyTorch♠

♠Transformers♠

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Lancaster University

With Prof. Plamen Angelov

Undergraduate ResearcherUnsupervised learningJan 2025 — PresentLancaster, UK · On-site

—Recursive ReSil / ReSilC in Python: O(1) key updates and PAMSil up to 85.6% faster on CIFAR-100 at equal quality.
—Optimized R-Means centroid updates for 17–24% faster runs than K-Means on CIFAR-10/100, MNIST, and Fashion-MNIST.
—Built a NumPy / scikit-learn pipeline benchmarking recursive versus flat clustering across 8+ datasets with 10-run averages.
—Tracked silhouette, inertia, and wall-clock time each run so speed-quality comparisons stayed fair.

♠Python♠

♠NumPy♠

♠scikit-learn♠

Visit Advisor

一

Nokia

Software Engineer Intern5G Network AgentJul 2025 — Dec 2025Ottawa, Canada

—Built LoRA fine-tuning pipeline for Qwen generating Camunda BPMN XML with GGUF quantization
—Designed evaluation framework revealing overfitting from NCSC-only data vs. base models
—Resolved GPU memory and Triton issues and shipped reusable training tooling for future experiments

♠Python♠

♠PyTorch♠

♠Unsloth♠

♠Transformer♠

Visit

二

TD Bank

Data Scientist InternInsurance AnalysisJun 2025 — Aug 2025Toronto, Canada

—Replatformed pipelines for 1.5M+ rows of data and reproduced a 154,340 row deliverable with 100% parity
—Automated 30+ minutes of manual ingestion per cycle, cutting QA time by 80% via a parity harness
—Migrated on-prem pipeline to Azure fully automating runs and saving 2–4 hours/week of manual execution

♠Python♠

♠SQL♠

♠PySpark♠

♠Pandas♠

♠Databricks♠

Visit

三

Stanford University

Student InstructorTeachingApr 2025 — Jun 2025Stanford, United States

—Taught Stanford’s Code in Place CS106A course to students globally, taken by 40,000+ students
—Educated students in Python leveraging beginner friendly libraries including Stanford’s Karel and Tkinter

♠Python♠

♠Karel♠

♠Tkinter♠

Visit

四

August

Software Engineer InternLLM AgentSept 2024 — Dec 2024New York, United States

—Handled 2,000+ requests/min by deploying 10+ API endpoints using FastAPI, AWS, and Supabase
—Optimized evaluation cycles for 15+ LLM Agents with a round-robin multi-agent and scoring framework
—Led the end-to-end development of a multi-agent RAG pipeline powered by LLM-as-Judge strategies

♠Python♠

♠LangGraph♠

♠FastAPI♠

♠AWS♠

Visit

五

hum.ai

Formerly Coastal Carbon

Machine Learning Engineer InternSuper ResolutionJul 2024 — Sep 2024Kitchener, Canada

—Benchmarked SOTA super-resolution models (e.g. ESRGAN, StableSR) through PyTorch pipelines
—Built automated benchmarking pipelines in Python to evaluate multiple models efficiently
—Visualized model performance with Matplotlib and Seaborn in Jupyter on SageMaker for analysis
—Managed experiment infrastructure on AWS S3 and EC2 for scalable fine-tuning and evaluation

♠Python♠

♠PyTorch♠

♠AWS♠

♠SageMaker♠

♠Jupyter♠

Visit

六

Health Canada

Machine Learning Engineer InternDocument QAApr 2024 — Aug 2024Ottawa, Canada

—Built a document QA system using Llama3 7B and ChromaDB for OECD report search and summarization
—Increased response and semantic accuracy by ~20% using query transformation and contextual memory

♠Python♠

♠Azure♠

♠LangChain♠

♠Streamlit♠

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七

Saputo

Data Analyst InternOperations & AutomationJan 2024 — Apr 2024Georgetown, Canada

—Developed TypeScript Office Scripts in Excel that eliminated ~8 hours/week of manual open-order updates
—Automated weekly workflows for 1000+ Nestlé products, avoiding 20,000+ manual data entries
—Used the Gemini API to automate competitor research across 200+ brands
—Ran weekly statistical analysis and EDA in VBA across 2000+ major products and 200+ miscellaneous SKUs

♠TypeScript♠

♠Excel♠

♠VBA♠

♠Gemini API♠

Visit

八

Respan

Y Combinator W24 · Formerly Keywords AI

Software Engineer InternResume ParsingMar 2023 — Jun 2023New York, United States

—Parsed 1,000+ resumes with a spaCy-based NER pipeline to extract structured recruiter data
—Reduced response delay by 98% through integration of SQLite-based result caching into the parsing engine

♠Python♠

♠spaCy♠

♠SQLite♠

Visit

九

Intapp

Formerly delphai

Machine Learning Engineer InternEntity RecognitionJul 2022 — Sept 2022Berlin, Germany

—Boosted recall by 20% through improved entity labeling workflows and language-specific training sets
—Achieved 70% recall by fine-tuning spaCy models and optimizing hyperparameters via WanDB on Azure

♠Python♠

♠spaCy♠

♠W&B♠

♠BS4♠

Visit

作品

作品 — Projects

Projects

一

Ding-Bot

Under Construction

Chess engine combining GATEAU-style Graph Attention Networks with contrastive latent-space search

♠Python♠

♠TypeScript♠

♠Graph Neural Networks♠

Source Live

二

PokerMon

Under Construction

Deep Counterfactual Regret Minimization (Deep CFR) for 6-player No-Limit Texas Hold'em

♠Python♠

♠Deep CFR♠

♠Game Theory♠

Source Live

三

LeaseEase

McHack ’24 · Telus Environment & Social Sustainable Future Prize

Streamlit app demystifying Canada’s Residential Tenancy Act with LLM + RAG, plain-language guidance, and auto-generated forms (T1, N7) for tenants navigating the housing crisis.

♠Python♠

♠Streamlit♠

♠OpenAI♠

♠Cohere♠

♠ChromaDB♠

Live

四

MedChat

Cohere RAG Challenge ’23 · Winner

Assistant for clinical Q&A: Cohere Classify routes intent to a brain-tumor CNN or RAG over 1000+ WebMD pages with streamed answers in Streamlit.

♠Python♠

♠Cohere♠

♠TensorFlow♠

♠Streamlit♠

Source

五

DirectU

Hack the North ’23 · Best Use of Cohere

Full-stack planner matching career goals and free-text course preferences to UWFlow reviews via Cohere, assembling a personalized four-year roadmap (React, Flask, MongoDB).

♠React♠

♠Flask♠

♠MongoDB♠

♠Cohere♠

Live

六