Aditya A Sahasrabuddhe

Singapore · wealth management · applied AI

Aditya A
Sahasrabuddhe

Portfolio construction · Equity research — public & private · AI systems

Four years of buy-side experience in Singapore wealth management. A decade covering Indian equity markets & trading. Eighteen months building the infrastructure that connects institutional portfolio practice with applied AI.

The wealth management stack is being rewritten. I build at both layers.

NUSNUS — MSc ManagementHEC ParisHEC Paris — Summer School Program

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01About

At LUMIQ, I work across the institutional portfolio lifecycle — from market research and fund selection to asset allocation and portfolio construction. I also lead the AI Sandbox, where we prototype and stress-test wealth dashboards, fund analytics platforms, and AI agents before production deployment. My broader work spans model portfolio construction for institutional and HNI clients, multi-factor fund research and ranking, equity and macro coverage across Indian and Singapore markets, and the AI tooling that supports advisor-facing investment workflows. Mandates have included an EU digital bank serving 1M+ retail investors, family offices across Singapore and India, and private investors. Earlier roles covered equity research published by a US middle-market investment bank, M&A advisory on $10–50M transactions, and economic research at EY.

02Selected track record

Across LUMIQ and prior buy-side and advisory roles.

20+

Model portfolios live with EU digital bank · 1M+ retail investors

$4M

AUM across 5 India model portfolios

2–6%

Benchmark outperformance · multi-asset

2,500+

Funds screened monthly · multi-factor model

$10–25M

Avg AUA across 8+ family office mandates

10+

Equity research reports across sectors

15+

Macro and market research notes

10+

AI workflows packaged and ready to replicate

03Featured build

~/agents/cio — orchestrator · 4 agents · 24/7
$ ./cockpit --daily-brief --slack
CIO

The CIO cockpit

4-agent stack. Daily brief in Slack at 7:30am. Runs 24/7 on a Mac mini.

A four-agent stack with two frontends — a morning brief in Slack and a live CIO dashboard reading off the same SQLite, so there's no sync drift. Sub-agents extract holdings, macro signals, and curated headlines; the orchestrator handles synthesis, because that's where the actual judgment happens. Tracks three family accounts with live price refresh, idle cash, VC allocations, and FY-level realised P&L. Built over a weekend.

cockpit — live dashboard
CIO cockpit dashboard — regime banner, family net worth (blurred) and morning brief
The live cockpit, 6 Jul 2026 — figures blurred for privacy.
Slack — #cio-brief
CIO morning brief as delivered to Slack — headline, summary bullets and recommendations
The 07:30 morning brief as it lands in Slack — family references blurred.
View architecture and workflow
CIO cockpit architecture diagram

The four agents

Fundamental analyst

Thesis updates on the top 25 holdings — conviction call, horizon, and what would change the view.

Macro / risk scanner

Portfolio-level concentration (HHI), exposure, and live macro pulled via web search.

News scanner

Curated headlines mapped to holdings, with CIO-style interpretation — not just a feed dump.

Orchestrator

Synthesises sub-agent outputs into recommendation cards and the morning brief that lands in Slack.

Daily LLM spend

$1.10

Agents

4

Frontends

Slack + cockpit

Updates

Auto · 24/7

In development — v2 multi-tenant cockpit for family offices, sovereign wealth desks, and individual PMs. Bring your own holdings, brokerage, and Slack.

04Managed portfolio · live track record

Indian equities I manage with my own capital — rebased against the Nifty 50.

Managed portfolio — Indian equities

What ₹1,000 invested at inception would be worth in my book versus the Nifty 50. Live since 28 Mar 2025.

Portfolio NAV1,191.77Nifty 501,024.78

Portfolio

+19.18%

Nifty 50

+2.48%

Alpha

+16.7 pts

Total return since inception · 28 Mar 202513 Jun 2026 (≈ 14½ months)

9201,0001,0801,1601,240Apr '25JunAugOctDecFebApr

Both series rebased to 1,000 at inception (28 Mar 2025) · data through 13 Jun 2026. Hover to inspect. Past performance is not indicative of future results.

Inception

28 Mar 2025

Portfolio return

+19.18%

Nifty 50 return

+2.48%

Outperformance

+16.70 pts

05Products & platforms shipped

RegimeCompass

www.regimecompass.com

Regime detection & institutional smart-money engine.

Two engines under one roof. The regime engine runs HMM, SMA and EMA models across ten global markets — equities, crypto and commodities — into a single risk-on / risk-off composite, refreshed daily. The Smart Money engine tracks where FIIs and DIIs are accumulating in Indian equities from NSE bulk & block deals — noise-cleaned into genuine institutional flow, broken down by sector and stock — and backtests how a basket following that smart money would have performed against the Nifty. A daily sector heatmap and yield-curve dashboards sit alongside. Free retail dashboards at the front end, structured for B2B licensing into RIA platforms, robo-advisors, and family office cockpits at the back.

Regime models

HMM · SMA · EMA

Smart-money engine

FII / DII flows

Signal proof

Basket vs Nifty

Open to — B2B API licensing pilots with RIAs, robo-advisors, and family office desks.

Know My Trade

www.knowmytrade.com

Trading performance analytics for active traders.

A detailed, personalised report on how you actually trade — broker-agnostic and multi-asset, covering equities, F&O, commodities, forex, and crypto. The Python pipeline ingests any broker's tradebook, handles split-fill aggregation and FIFO position matching, then runs the book through 15 analytical modules covering behavioural patterns, timing, and edge mapping to surface where the edge is and where it leaks. Delivered within 24 hours of upload. Brand line: “Know your edge. Trade it.”

Output

Report in 24h

Asset classes

Eq · F&O · Comm · Fx · Crypto

Evaluation

15 modules

SI

StartupIndi

startupindi.com

Government scheme finder for Indian founders and MSMEs.

Next.js 14 App Router with full SSG, JSON-LD structured data, dynamic Open Graph imagery, and an automated sitemap pipeline. Quiz-driven matching across 54 government schemes mapped to four founder, MSME, NRI, and advisor archetypes. Built SEO-first for organic discovery — every scheme page is its own indexed entity.

Schemes indexed

54

Audience clusters

4

SEO structure

JSON-LD

PT

Performance attribution terminal

Institutional comparison dashboard for sovereign wealth and asset managers.

Single-screen institutional terminal comparing listed and unlisted holdings against global benchmarks. Layered analytics across market risk (Beta, Alpha, Correlation, Tracking Error, Information Ratio), fundamentals (ROE, peer set), and forensic accounting (Beneish, Altman, Piotroski). DCF + sensitivity engine on top. Built originally as a sovereign wealth case study, productisable for asset manager and family office desks.

Performance metrics

9+

Forensic models

3

Use case

SWF · AM

Productisable — generalising the terminal into a configurable benchmarking layer for institutional allocators.

PH

Portfolio health score

Three-pillar composite scoring for retail portfolios.

Composite portfolio score built on three independent pillars — volatility, HHI diversification, and Sortino. Outputs mapped to three investor archetypes (Guardian, Strategist, Trailblazer) to drive actionable nudges over academic scoring. Designed with conscious avoidance of past-performance-heavy metrics, so the score holds up across asset classes and market regimes.

Composite pillars

3

Investor archetypes

3

Output frame

Nudges

Open to — methodology licensing for advisor platforms and digital wealth products.

Trove International

Strategic advisory across three verticals.

Advisory firm operating across three verticals — strategic advisory, government engagement, and portfolio solutions for global enterprises and institutional investors entering India. Leadership bench spans policy, sustainability, and global investment specialists. Engagements include market-entry facilitation, public-private partnership structuring, and India allocation advisory for offshore LPs.

Advisory verticals

3

Market focus

India

Role

Founder

06Selected work in role

Projects delivered while employed at LUMIQ, EY, and a US middle-market investment bank.

LUMIQ

Fund risk rating model (V3)

11-variable framework across asset classes on a 1–5 scale. Weekly returns + √52 annualisation, 3-year aligned vol and drawdown windows. MAS SIP-compliant. Methodology white paper published for client and distributor distribution.

LUMIQ

AI sandbox lead

Spin up, prototype, and stress-test new wealth tools before they reach production. 10+ automated workflows packaged as reusable Claude skills. Agent and sub-agent stack for daily market briefs and research reports.

EY & Amplify

Sectoral research and equity coverage

Economic advisory at EY for Invest India FDI initiatives. Equity research reports and valuation models (Mining, O&G, SaaS, Mobile Apps) published by a US middle-market investment bank. M&A deal support on $10–50M transactions.

07Selected research & notes

Full reports available on request — most were written for institutional distribution.

08Contact

Building a desk, a product, or a mandate? Let's talk.

Open to portfolio & research roles, AI-in-wealth builds, and B2B licensing pilots — Singapore, Dubai, and remote.

Email meLinkedIn

Old-school portfolio rigor. New-school AI execution.

© 2026 Aditya A Sahasrabuddhe · Singapore