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
九9
Internships五5
Hackathon Wins四4
Countries人
素顔 — Beyond Code
Beyond Code
🇮🇹Born―🇨🇳Raised―🇨🇦Studied―🇬🇧Exchanged―🇺🇸Incoming
球NBA
Mavs fan. Favorite player is Kevin Durant.
哲Philosophy
Studied philosophy at Waterloo. Ancient Greek science and thought stuck. Next: Hegel, Spinoza, and Berkeley.
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