— Professional Portfolio — Malaika Susan Mathew

Malaika Susan Mathew.

A study of fashion, product and brand at the intersection of taste and technology.

Fashion AI Product Dev Retail Brand Strategy
Malaika Susan Mathew
Melbourne · 38°S
Calvin Klein✦ Ralph Lauren✦ GAP✦ American Eagle✦ Forever New✦ Louis Philippe✦ Farfetch✦ Allen Solly✦ Levi's✦ Arrow✦ Review✦ Reebok✦ Witchery✦ Puma✦ Simon Carter✦ The Collective✦ AJIO✦ Calvin Klein✦ Ralph Lauren✦ GAP✦ American Eagle✦ Forever New✦ Louis Philippe✦ Farfetch✦ Allen Solly✦ Levi's✦ Arrow✦ Review✦ Reebok✦ Witchery✦ Puma✦ Simon Carter✦ The Collective✦ AJIO✦
No. 01 The Profile A Note
Malaika Susan Mathew

A fashion and product professional, building where taste meets technology and the floor meets the system.

Hi, I'm Malaika. I work at the intersection of fashion design, retail technology, and brand. The pattern across my career is consistent: I sit between disciplines, translating between them, and find the customer in every conversation.

I spent four years at Streamoid Technologies, the Bengaluru-based AI fashion company, rising from Fashion Associate to Senior Fashion Executive and Acting Product Development Executive. There, I owned the fashion logic on five flagship products, including Outfitter and piqit (used by Calvin Klein, GAP, and Forever New) and Catalogix (the AI-powered product information platform that condensed onboarding from six hours to six minutes for retailers from Levi's to AJIO).

I hold a Master of Fashion Entrepreneurship from RMIT University in Melbourne, building on a B.Sc. in Fashion Apparel Design from Mount Carmel College, Bengaluru.

Today, I work the floor at Review Australia, styling eveningwear, and support brand and content at Stephanie Browne. Both roles keep my work close to the wearer.

04
Years Streamoid
12+
Retail clients
96%
Effectiveness
5
Products shipped
02

The Work.

Five products, four years, one through-line: making fashion technology that respects the way clothes actually work. Built at Streamoid Technologies, Bengaluru, for global retailers from Calvin Klein to Forever New.

01
No. 01 · Project · Feature

Outfitter, the stylist.

A virtual stylist powered by retail-grade AI, recommending fully styled outfits for any product in catalogue.

Role
Product Manager
Team
Eng · Mktg · CX
Type
B2B SaaS
Year
2021–23

The brief. Retailers had products. Customers had taste. The two rarely met inside a PDP. Outfitter was the bridge.

The work. I led the fashion side of that algorithm — the rule book the model learned from. Two thousand ontology values, fifty thousand styling rules, seventy thousand colour models. Then served as sole product manager across engineering, marketing, and customer ops.

The outcome. Shipped to retailers including Calvin Klein and Forever New. Now the AI styling engine inside Streamoid's CXO platform.

2,000+
Ontology
50+
Tags
50,000+
Rules
70,000+
Colours
Project · 01
Outfitter
02
No. 02 · Project · Operations

Catalogix, the speed-up.

Retail at the speed of light. Six hours of catalogue work, condensed to six minutes.

Role
QA & Refinement
Type
Enterprise SaaS
Clients
Multi-billion-$
Year
2022

The brief. Modern retailers are drowning in catalogue work. Every new product needs metadata, content, multimedia, sizing, style tags. By hand, days of labour. Catalogix did it in minutes.

The work. I led the testing rigour that made it ship. Spearheaded testing across diverse client catalogues — fashion-wear, athleisure, ethnic, swimwear — chasing edge cases the model hadn't seen.

The outcome. 96% effectiveness attracted retailers including AJIO, Levi's, Pantaloons, Bewakoof, Shantanu & Nikhil, celio*, and Target.

96%
Effectiveness
60×
Faster
12+
Clients
Global
Reach
Project · 02
Catalogix dashboard
Catalogix data connection
03
No. 03 · Project · Recommendations

The cart, continued.

Complementary product and frequently-bought-together logic, designed for the outfit, not just the basket.

Role
AI Logic Lead
Surface
PDP · Cart
Output
10 recs / SKU
Year
2021

The insight. Most cart engines push more of the same. Add a top, suggest another top. The result feels mechanical. I asked a different question: what completes the look?

The work. Designed Outfitter's cross-sell logic around outfit completion. Curated pairings based on style, fit, category, inventory. Wrote the documentation that explained the styling logic to engineering and to retail clients.

The outcome. The complementary product engine became a standard module across Streamoid's enterprise stack. Adopted by retailers ranging from premium denim to athleisure, it changed the cross-sell story from "more of the same" to "complete the look" — and gave merchandising teams a tool that read like a stylist, not a spreadsheet.

— Adoption
Rolled into Streamoid's enterprise platform as a standard module, deployed across multi-billion-dollar retailers in fashion, lifestyle, and athleisure.
— Method
Reframed cross-sell from category-similar to outfit-complete — bridging styling logic and inventory in one engine.
Project · 03
Cart Recommendations
04
No. 04 · Project · Hackathon

Find Your Fit, real-time.

A real-time fit recommendation system, taken from sketch to working prototype at a company hackathon.

Role
Project Lead
Output
Body sensing
Privacy
Face-masked
Year
2022

The brief. Online fashion has a return problem. Up to 40% of clothing returns are size-related.

The build. I conceptualised the full sizing experience: brand size-chart mapping, privacy-preserving body sensing, background-agnostic camera detection. The system masks the face, ignores the background, returns shoulder, chest, and waist measurements to the millimetre.

The outcome. Iteratively tested and analysed the algorithm's performance against real customer body data, refining accuracy and relevance with each pass until the system could land on a recommended size confidently across body types, lighting conditions, and camera angles. Post-launch, monitored the metrics that mattered to the business — fit-recommendation acceptance, return-rate movement, and downstream order value — and used that signal to propose enhancements that lifted average order value while reducing the customer friction that drives the size-related returns problem in the first place. Positioned as a competitive differentiator for retailers tackling fit and sizing at scale.

— Algorithm
Iterative testing & analysis cycles to improve accuracy and relevance of size recommendations across body types and conditions.
— Commercial
Post-launch metric monitoring on fit acceptance, return rates, and order value — proposing enhancements that maximised average order value.
Project · 04
Body measurement diagram
14 measurement points
No. 05 · Project · Consumer Platform · 2019—2023

piqit,
the community.

Brand film · piqit 2019—2023

The product, in use.

Streamoid's consumer platform for the niche fashion industry. A bridge between emerging designers, stylists, photographers, and the audience who would otherwise never find them. Live at piqit.in.

Creator profile
Creator profile Style banks
Mobile feed iOS · Android
Outfit post
Outfit post Community
Live now piqit.in ↗
Web · iOS · Android · 100+ ensembles curated · B2C platform pivot from B2B
"

Good product thinking is, at its core, good customer thinking.

— Studio Note
No. 06—07 The Floor Retail & Brand

Where theory meets the floor.

In parallel to the algorithms, working the shop floor and the brand desk. The customer is the source of truth, and both roles feed the same instinct.

— What the floor taught me

Two years on the eveningwear floor at Review Australia has changed how I think about every product I touch. Tagging a dress as "occasion · structured · midi" is one thing. Watching a customer hesitate in front of three of them, and knowing instantly which one she's going to buy, is another. The floor closes the gap between the spec sheet and the human. It's where you learn that fit beats trend, that compliments earn conversion, and that the most data-backed recommendation in the world means nothing if the cut is wrong on the body in front of you.

It's also where I learned the discipline of selling — reading a customer's brief in thirty seconds, building trust faster, hearing a "no" without taking it personally, and finding the second option that turns a "maybe" into a sale. That instinct is the same one I bring to a stakeholder meeting or a client pitch. The retail floor is also where you see, in real time, what's working and what isn't: which silhouettes get tried on but not bought, which print sells out in a weekend, which size curve is wrong, which mannequin styling pulls people in from across the room. None of that information sits in a dashboard, but all of it shapes the next buy. Retail, done well, is product strategy in real time.

Review Australia

2024–2026
Retail Sales Assistant — Eveningwear · South Yarra
01

Customer & Product Insight

Two years styling eveningwear and occasion collections at the flagship. Daily fittings sharpen what works on different bodies, what photographs well, and what customers actually return for.

02

Buying & Merchandising Input

Translating real-time floor signal into actionable feedback on size curves, stock depth, fabric performance, and SKU allocation. The line between data and instinct is shorter than people think.

03

Visual & Brand Execution

VM execution to Review's brand standards. Floor moves, seasonal launches, mannequin styling, and the small composition decisions that change a window's read.

04

Outfit-Led Selling

Lifting conversion and average transaction value through full-look styling. Building repeat customers who book a fitting next time, one wedding-guest dress at a time.

05

The Through-Line

Everything I learned at Streamoid about ontologies, recommendations, and styling rules — Review is where it all gets stress-tested. The retail floor is the lab. The lab is the floor.

Stephanie Browne

2024–2025
Marketing & Branding Assistant — Luxury
01

Digital Content

Social content and Mailchimp campaigns. Considered output for a luxury audience that notices.

02

Brand Identity

Maintaining a luxury position across digital channels. Visual consistency, copy tone, the small details.

03

Collaboration & Workflow

Coordinating with design, marketing, and comms to meet campaign deadlines. The connective role.

04

Commercial Impact

Boosting online engagement and brand visibility. Translating brand work into digital traction.

No. 08 The Toolkit Vocabulary

A working vocabulary.

01

Fashion Styling

Outfit logic, occasion dressing, fit and proportion across body types and price points. Floor-tested at Review Australia.

02

Product Development

From brief to launch. AI tools, consumer apps, B2B SaaS, end-to-end ownership including testing and iteration.

03

AI Systems

Ontology, tagging, recommendation logic, accuracy testing, and post-launch refinement. The fashion side of the algorithm.

04

Project Management

Cross-functional delivery across product, engineering, marketing, and customer ops. The translator role.

05

Stakeholder Management

Client-facing experience from retail floor to multi-billion-dollar brands. Comfortable in any room.

06

Retail & Brand

VM, storytelling, customer-led merchandising input, and brand voice in digital channels.

Tools of the Trade
Adobe Photoshop· Illustrator· CLO 3D· Corel Draw· Microsoft Office· Figma
No. 09 The Sign-off Contact

Let's work
together.

For opportunities in fashion, product, retail, and brand. Open to roles in Melbourne and select remote. Available for full-time, contract, and freelance briefs from January 2026.

Email
hellomalaika8@gmail.com
Phone
+61 430 028 308
Location
Melbourne, Australia
Malaika Susan Mathew · Professional Portfolio · 2026
Designed with care · Melbourne, AU
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