# About Himanshu

I co-founded **AuraX**, a try-on startup whose diffusion models outperformed Google's and Stable Diffusion's in our benchmarks. Before that I built **SynthAiLabs**, a 500-student learning community that juniors restarted after I left. Most recently I built search and agents at **Tejas AI (YC W25)**. I left in August 2026 and I'm **looking for what's next**.

## 01 · Built a community that outlived me.

*2023 – 2024*

In my 2nd year at NIT Kurukshetra, I started **SynthAiLabs (OpenEdu)** — part startup, part movement. I hand-selected 500 students from 2,000 and built an accelerated learning community. Students were completing 6 months of curriculum in just 2.

The revenue model was B2B: companies could distribute coupons to students, and I'd sell outsourced learning materials and software to companies training their employees. But funds were always the bottleneck.

What happened after I stopped was the real validation — **juniors restarted and continued it on their own.** It had given them something worth continuing.

## 02 · Beat the benchmarks. Ran out of runway.

*2024 – 2025*

I co-founded **AuraX**, a fashion-tech startup incubated at **IIIT-Hyderabad's CIE**. We researched **diffusion models for virtual try-on** and built a pipeline that, in our quality benchmarks, outperformed Google's and Stable Diffusion's published results — along with the Indian competitors we tested against.

We signed a deal with **Aditya Birla Fashion Group** and several brands under **Mensa Brands**. Real revenue. Real contracts.

But the space moved fast. Larger players with deeper pockets entered. We ran out of runway. I made the call to close AuraX — not because the tech failed, but because the timing wasn't on our side.

## 03 · Pause. Reset. Rebuild.

*early 2026*

After closing AuraX, I took intentional time off. I studied finance to understand the business mistakes I'd made — and started building on [MQL5](https://www.mql5.com/en/users/himanshuat) along the way. I focused on health — something I'd ignored for two years of building.

> Sometimes, the most productive thing that you can do is to step outside and do nothing... relax and enjoy nature.
>
> — Melanie Charlene

## 04 · Shipped agents at scale. Then left.

*2026*

For five months I was an SDE at **Tejas AI (YC W25)** — WhatsApp-based AI agents with cross-session memory, a scraping fleet indexing roughly 60 ATS platforms, and OpenSearch-backed hybrid retrieval doing the matching.

The lesson was that none of the hard parts were model problems. They were memory, deterministic routing, and knowing when a user's requirement is a filter rather than a similarity score.

I left in **August 2026**.

## 05 · Open to what's next.

*Now*

I'm looking for the next thing, and I'm deliberately open about the shape it takes: a **full-time role** in AI infrastructure, search, or quantitative research; **contract work** on inference cost, agent reliability, or retrieval that misses; or a **research collaboration** — I'm currently working on measurement studies in systems and finance.

If any of that is a thing you need, the fastest route is [email](mailto:hyattherate2005@gmail.com). The productized versions of the contract work are on the [hire page](/hire).

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Source: https://himanshuat.com/about