Portfolio — 2026

Singapore · SMU Finance & Strategy ’27

Analyst by training,builder by instinct.

Finance & Strategy undergraduate at Singapore Management University and Distribution Analyst intern at Conduit Group. I do the work first — fund due diligence, LP analytics, valuation — then build the systems that make it reproducible: 34 tearsheets across 8 alternative-asset sectors, a 5,146-contact LP engine, and an automated equity-research desk that briefs me every morning.

Currently
Seeking internships in asset management, fund distribution, investment research, and strategy consulting.
Email
cy.wang.2024@business.smu.edu.sg
LinkedIn
/in/wangchongyu
34
fund tearsheets shipped at Conduit
17
managers processed across 8 alternative-asset sectors
5,146
LP contacts in the tiering engine I rebuilt
50+
work-pass placements at the agency I founded

Flagship work — 01

Fund distribution · Due diligence · Investor relations

The fund due-diligence & distribution pipeline

At Conduit Group I turned raw alternative-asset fund PDFs into rated, documented shelf decisions — replacing manual triage for the investor-relations team.

From PDF to verdict

LLM extraction pulls strategy, terms, track record, and risk data out of raw fund documents; a 7-factor scoring framework turns it into a 14-section due-diligence workbook with a composite rating and an A/B/C/Pass shelf verdict the IR team can defend.

Coverage at intern speed

Processed ~17 fund managers across 8 alternative-asset sectors — hedge funds, private equity, real estate, VC, quant, private debt, digital assets — shipping 34 manager- and sub-fund-level tearsheets plus outbound IR emails and investment commentary.

The LP engine

Rebuilt the firm's 5,146-contact LP database as v2.0: LLM-driven matching ranks every contact into Tier 1/2/3 prospect bands for each new fund, and the whole thing is queryable in natural language instead of by manual row-scanning.

Workflow leverage

Shipped the supporting tools the team now runs on — automated HTML email broadcasts through Monday CRM, LLM-driven web scraping to enrich the company database, and scripted automations across recurring processes.

  • 14-section due-diligence workbook with composite rating and A/B/C/Pass shelf verdict
  • 34 tearsheets across ~17 managers and 8 alternative-asset sectors
  • 5,146-contact LP database with Tier 1/2/3 prospect matching, queryable in natural language
LLM extraction7-factor scoring frameworkExcelMonday CRMPython

Case studies — 02–08

Selected work

Hover to open

02

An automated equity-research desk

Personal research system — nights and weekends

To learn institutional research discipline properly, I built the whole stack: role-based AI agents (analyst, PM, risk, macro, scout) write dated research memos on a schedule, a valuation engine runs DCF and comparables on every name, and market data is grounded in WRDS — Wharton's institutional research database — with cross-source integrity checks.

Equity research · Valuation · Financial data

03

Worker Master — running a real agency on AI ops

Smile Employment Agency — my own licensed company

The operations platform behind my employment agency: a spreadsheet-backed workforce system with a mobile app, per-company quota calculators, and AI-driven compliance audits — supporting 50+ work-pass placements and 20+ corporate clients.

Business operations · Compliance automation · Founder

04

The Post Room — an AI inbox concierge

Email + learning system over two Gmail accounts

A dependency-free Python server plus headless LLM workers that read two Gmail accounts and produce a daily morning brief: grouped newsletter digests, extracted deadlines, and a finance-news desk with a spaced-repetition concept ledger that turns reading into retained knowledge.

Agentic AI · Systems design · Finance learning

05

Telegram concierge & mission-control board

Personal finance + operations assistant

A Telegram bot that grew into a personal operations hub: expense tracking with receipt OCR, bank-statement parsing, and a worker-edit queue for my agency — audited by a mission-control dashboard that health-checks every feature.

Agentic AI · Product thinking · Automation

06

Idea Scout & automated research pipelines

Systematic learning and idea generation

A weekly multi-source scout that scans GitHub, Hacker News, Reddit, and YouTube, scores every candidate against a written interests profile, and publishes a ranked digest — alongside a deep-research harness that fans out parallel agents to produce cited, fact-checked reports.

Research automation · Multi-agent systems

07

The Desk — a personal cloud of ~60 agents

The umbrella system tying everything together

Every system I build ships to one self-hosted hub: a dashboard of dashboards with a registry of ~60 agents and scheduled automations, health watchdogs driving live status lights, 30+ custom AI skills, and usage telemetry.

Infrastructure · Agent operations · Self-hosted

08

House Finder — an autonomous housing agent

Finding my own exchange-semester flat in Dublin

An end-to-end autonomous agent for a real personal problem: it scans Dublin housing sources, scores fit against my constraints, sends enquiries as me by email and browser form-fill, and answers landlord replies with an LLM reply-brain — escalating only high-stakes messages for one-click approval.

Autonomous agents · Real-world task automation

Also built

The wider workshop

Deep-research harnessParallel search agents with adversarial claim verification and cited reports
Personal LearningsAuto-published dashboard of every research dossier I keep, with spaced-repetition review
AI Build StudioLocal two-pane app that plans software in chat and kicks off coding sessions
ClawdmeterToken-usage telemetry pipeline for my AI fleet
KithA warm, installable guestbook PWA for friends — production on Vercel
TripsWanderlog-style itinerary planner with self-hosted cross-device sync

About

I can't leave a manual process alone.

At my internship I did the fund triage by hand once — then built the pipeline that turns a raw fund PDF into a rated, documented shelf decision. That pattern runs through everything here. I founded a licensed employment agency the same year I started university, then automated its compliance paperwork. I wanted to genuinely understand markets, so I built an equity-research desk that produces valuation work and morning briefs on a schedule. I wanted to learn faster, so I built a system that turns what I read into spaced-repetition reviews.

What drives me is straightforward: I'm obsessive about getting better — at analysis, at building, at the craft of whatever is in front of me — and I don't wait to be told to start. Every system on this page exists because I refused to do the same work twice. Put me on a team with real problems and I bring the same habit: learn it properly, do it well, then make it faster for everyone.

Experience

Where I’ve worked

Conduit Group

Distribution Analyst Intern

Jan 2026 — Present

  • Designed a distribution pipeline pairing LLM extraction with a 7-factor scoring framework, converting raw fund PDFs into a 14-section workbook with composite rating, A/B/C/Pass shelf verdict, and factsheet — replacing manual triage with reproducible insights for the IR team.
  • Processed ~17 fund managers across 8 alternative-asset sectors, shipping 34 manager- and sub-fund-level tearsheets and drafting outbound IR emails and investment commentary.
  • Shipped v2.0 of the firm's 5,146-contact LP database — LLM-driven matching ranks contacts into Tier 1/2/3 prospect bands per new fund, queryable in natural language.
  • Built supporting tools the team now runs on: automated HTML email broadcasts via Monday, LLM-driven web scraping for database enrichment, and scripted automations across recurring processes.

Smile Employment Agency

Founder

Apr 2024 — Present

  • Founded and manage a licensed Singapore employment agency (UEN 24C2161) specialising in service-sector manpower placements.
  • Achieved 50+ S Pass and Work Permit placements within the first 8 months, outperforming industry averages through workflow automation, document standardisation, and proactive compliance tracking.
  • Maintain a client base of 20+ corporate partners at a 90% retention rate; every placement completed within 10 working days.

Commerce.sg

Business Development Executive

May 2024 — Aug 2025

  • Identified B2B prospects and partnerships in the social-commerce space; campaigns generated US$100,000+ in attributed client revenue.
  • Tailored influencer and content strategies to client-specific audiences to boost reach and brand recall.

New V Spa

Marketing Operations Intern

Sep 2022 — Feb 2023

  • Owned social-media strategy across Facebook, Instagram, and TikTok; produced short-form videos reaching 100K+ organic views.

Toolbox

What I work with

Finance

  • Valuation (DCF, comps)
  • Fund due diligence & tearsheets
  • LP prospect analytics
  • Equity research workflow
  • Portfolio & risk memos
  • Backtesting discipline
  • Excel (Solver, PivotTables)

AI systems

  • Claude Code & headless agents
  • Multi-agent orchestration
  • MCP servers (built my own)
  • Custom skill design (30+)
  • LLM extraction & scoring pipelines
  • Prompt & context engineering

Engineering

  • Python
  • JavaScript/Node
  • Flask & stdlib servers
  • Google Sheets/Gmail APIs
  • Playwright automation
  • Docker, nginx, systemd/launchd
  • GitHub Actions CI/CD
  • Self-hosted VPS ops

Business

  • Founded & run a licensed agency
  • Client management (20+ B2B, 90% retention)
  • Regulatory compliance ops
  • Monday CRM
  • Digital marketing
  • Mandarin Chinese (fluent)

Education & community

Background

Singapore Management University

BBM, Double Major in Finance and Strategy · GPA 3.7/4.0

Aug 2024 — Aug 2027

Ngee Ann Polytechnic

Diploma in International Trade and Business

Jan 2019 — Dec 2022

SMU Project Smile Manila XV

Project Lead

Jan 2024 — Present

  • Lead a 24-member SMU team for an overseas community service project with CRIBS Foundation (Philippines), shifting the project from short-term aid to long-term sustainability through financial-literacy workshops and corporate-partnership training.

Contact

Let’s talk.

Hiring for asset management, fund distribution, or strategy? I bring the analyst toolkit and the AI leverage to go with it.

cy.wang.2024@business.smu.edu.sg