一
Mercor
Member of Technical StaffEnterprise AIIncomingSan Francisco, United States
- —Incoming Member of Technical Staff, Enterprise AI.
皓
Software Engineer & ML Researcher
KenWu.
Based inToronto, ON
EducationUniversity of Waterloo, CS '26
StatusIncoming MTS, Enterprise AI @ Mercor.
Neo Scholar Finalist◆5x Hackathon Winner◆Former URA · University of Waterloo◆Former Researcher · Lancaster University◆Open Source Dev · Fermilab
九9
Internships五5
Hackathon Wins四4
Countries人
素顔 — Beyond Code
Beyond Code
🇮🇹Born―🇨🇳Raised―🇨🇦Studied―🇬🇧Exchanged―🇺🇸Incoming
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
職
職歴 — Work
二
Lyft
Machine Learning Software Engineer InternBailout ModelMay 2026 — Aug 2026Toronto, Canada
- —Doubled the bailout model’s cancel-detection recall (+34.2pp at 2.5% FPR) via 17 new route/GPS features
- —Grew Canada bailout coverage from 1.4% to 100% of rides via census backfill for 2,964 geohashes
- —Root-caused a defect in Lyft’s bailout model flagging 76.6% of rides; shipped automated per-cluster thresholds
- —Shipped shadow inference and holdout capture into the bailout service with zero live decision impact
♠Python♠
♠CatBoost♠
♠SQL♠
♠GeoPandas♠
三
Nokia
Software Engineer Intern5G Network AgentJul 2025 — Dec 2025Ottawa, Canada
- —Shipped a LoRA fine-tuning pipeline that turns Qwen into a Camunda BPMN XML generator with GGUF quantization
- —Caught NCSC-only training overfitting with an eval harness that benchmarks fine-tuned vs. base models
- —Unblocked GPU training by fixing OOM and Triton kernel failures; shipped reusable training tooling
♠Python♠
♠PyTorch♠
♠Unsloth♠
♠Transformer♠
四
TD Bank
Data Scientist InternInsurance AnalysisJun 2025 — Aug 2025Toronto, Canada
- —Replatformed 1.5M+ row pipelines and reproduced a 154,340-row deliverable at 100% parity
- —Cut QA time 80% by automating 30+ min/cycle ingestion with a row-level parity harness
- —Saved 2–4 hrs/week by migrating the on-prem pipeline to Azure with automated runs
♠Python♠
♠SQL♠
♠PySpark♠
♠Pandas♠
♠Databricks♠
五
Stanford University
Student InstructorTeachingApr 2025 — Jun 2025Stanford, United States
- —Instructed Stanford Code in Place CS106A for a global cohort of 40,000+ students
- —Taught intro Python with Karel and Tkinter through live sections and project feedback
♠Python♠
♠Karel♠
♠Tkinter♠
六
August
Software Engineer InternLLM AgentSep 2024 — Dec 2024New York, United States
- —Scaled 10+ FastAPI / AWS / Supabase endpoints to 2,000+ requests/min in production
- —Cut eval cycles across 15+ LLM agents with round-robin multi-agent routing and ELO scoring
- —Architected end-to-end multi-agent RAG with LLM-as-Judge evaluation
♠Python♠
♠LangGraph♠
♠FastAPI♠
♠AWS♠
七
hum.ai
Formerly Coastal CarbonMachine Learning Engineer InternSuper ResolutionJul 2024 — Sep 2024Kitchener, Canada
- —Benchmarked SOTA super-resolution models (ESRGAN, StableSR) in PyTorch for coastal imagery
- —Automated multi-model SR eval pipelines on SageMaker with Matplotlib / Seaborn analysis notebooks
- —Stood up AWS S3 / EC2 experiment infra for scalable fine-tuning and evaluation
♠Python♠
♠PyTorch♠
♠AWS♠
♠SageMaker♠
♠Jupyter♠
八
Health Canada
Machine Learning Engineer InternDocument QAApr 2024 — Aug 2024Ottawa, Canada
- —Built Llama3 7B + ChromaDB document QA for OECD report search and summarization
- —Lifted response and semantic accuracy ~20% via query transformation and contextual memory
♠Python♠
♠Azure♠
♠LangChain♠
♠Streamlit♠
九
Saputo
Data Analyst InternOperations & AutomationJan 2024 — Apr 2024Georgetown, Canada
- —Cut ~8 hrs/week of open-order updates with TypeScript Excel Office Scripts
- —Automated weekly workflows for 1,000+ Nestlé products, avoiding 20,000+ manual entries
- —Automated competitor research across 200+ brands with the Gemini API
- —Ran weekly EDA in VBA across 2,000+ products and 200+ miscellaneous SKUs
♠TypeScript♠
♠Excel♠
♠VBA♠
♠Gemini API♠
十
Respan AI
Y Combinator W24 · Formerly Keywords AISoftware Engineer InternResume ParsingMar 2023 — Jun 2023New York, United States
- —Parsed 1,000+ resumes with a spaCy NER pipeline to extract structured recruiter data
- —Cut parsing response delay 98% by adding SQLite result caching to the engine
♠Python♠
♠spaCy♠
♠SQLite♠
Intapp
Formerly delphaiMachine Learning Engineer InternEntity RecognitionJul 2022 — Sep 2022Berlin, Germany
- —Raised entity recall 20% via improved labeling workflows and language-specific training sets
- —Hit 70% recall by fine-tuning spaCy NER and tuning hyperparameters with W&B on Azure
♠Python♠
♠spaCy♠
♠W&B♠
♠BS4♠
研
研究 — Research
Fermilab
Google Summer of Code · ML4SCI · University of AlabamaOpen Source DeveloperAgentic Lagrangian ExtractionMay 2026 — PresentRemote · United States
- —Built agentic Lagrangian extraction tooling for ML4SCI at Fermilab under Google Summer of Code 2026 with University of Alabama mentors
- —Open-sourced the pipeline for physics-informed symbolic extraction; project details on the GSoC 2026 page
♠Python♠
Past Research
University of Waterloo
Sep 2024 — Apr 2026Undergraduate Research AssistantML · Attention & symbolic regressionWaterloo, Canada · Remote
With Prof. Ali Ghodsi & Amin Ravanbakhsh- —Held R² ≥ 0.99 on numerically stable symbolic-regression fits by benchmarking models at dataset scale
- —Raised in-domain accuracy ~19pp by fine-tuning Symbolic GPT variants under Prof. Ali Ghodsi
- —Balanced R² vs. model complexity via tokenizer and Point-Net ablations across benchmark suites
- —Cut MSE and MRE on standard benchmarks by refining inference loops for Symbolic GPT
Lancaster University
Jan 2025 — May 2026Undergraduate ResearcherUnsupervised learningLancaster, UK · On-site
With Prof. Plamen Angelov- —Sped up PAMSil up to 85.6% on CIFAR-100 at equal quality with recursive ReSil / ReSilC (O(1) key updates)
- —Beat K-Means wall-clock by 17–24% on CIFAR-10/100, MNIST, and Fashion-MNIST via optimized R-Means centroids
- —Benchmarked recursive vs. flat clustering across 8+ datasets with 10-run averages in NumPy / scikit-learn
- —Kept speed-quality comparisons fair by tracking silhouette, inertia, and wall-clock on every run
作品
作品 — Projects
Projects
一
OpenComposer
Composer 2 pipeline · single GH200Mini-scale end-to-end reproduction of the Composer 2 training pipeline on a single NVIDIA GH200: MoE CPT, MTP self-distillation, Dr. GRPO + k1 KL, and behavioral auxiliary rewards.
♠Python♠
♠PyTorch♠
♠MoE♠
♠OpenRLHF♠
二
AppGammon
CS 446 / ECE 452Online backgammon with a React Native/Expo client, Hono backend, and shared gameplay rules in a TypeScript monorepo.
♠TypeScript♠
♠React Native♠
♠Expo♠
♠Hono♠
三
四
五
LeaseEase
McHack ’24 · Telus Environment & Social Sustainable Future PrizeStreamlit 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♠
六
MedChat
Cohere RAG Challenge ’23 · WinnerAssistant 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♠
七
DirectU
Hack the North ’23 · Best Use of CohereFull-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♠
八
九
他作 — Coursework, tools, and other public repos live on a separate shelf.
All repositories技術
技術 — Skills
Skills
繋