
Now·Building Elip, an AI career coach, at Tejas AI (YC W25).
Himanshu
20-year-old builder and former startup founder, bridging AI research and production engineering.
I co-founded AuraX, a try-on startup whose diffusion models outperformed Google's and Stable Diffusion's in our benchmarks. It taught me that timing matters as much as the tech.
Open to full-time roles and freelance work.
Incubated by IIIT-Hyderabad CIE·shipped to Aditya Birla and Mensa·now building at Tejas AI (YC W25)
01·2023 – 2024
Built a community that outlived me.
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.
02·2024 – 2026
Beat the benchmarks. Ran out of runway.
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·early 2026
Pause. Reset. Rebuild.
After closing AuraX, I took intentional time off. I studied finance to understand the business mistakes I'd made — and started building on MQL5 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.
04·Now
Shipping products, not pitch decks.
Now I'm an SDE at Tejas AI (YC W25) — building WhatsApp-based AI agents with persistent memory, a scraping pipeline that ingests at scale, and OpenSearch-backed retrieval for real-time matching.
On the side: open-source tooling, a personal infra rebuild, and the essays I never had time to write while running AuraX.
Research
Published and ongoing work in AI, generative models, and cryptography — including the AuraX try-on research behind the story above.
Building in the Open
Open-source tools, infra experiments, and libraries — what I build when I'm not shipping company work.
CCProxy
A universal proxy that lets Claude Code talk to any AI provider: OpenAI, Gemini, or local Ollama models.
OpenCrow
Open-source AI agent platform for embedding intelligent customer support assistants into web applications.
AI Inference Platform
High-performance AI inference platform with intelligent model routing — classifies query complexity via embeddings and heuristics, routing simple queries to fast/cheap models and complex ones to GPT-4 class models.
TuneSLM
Drop your dataset and answer a few questions — get an ipynb notebook ready for Google Colab to fine-tune your SLM of choice, powered by Unsloth.
MockServer
A CLI tool that spins up a mock backend so you can build the frontend before the real one exists, with a GUI to configure it.
FastSearch
A privacy-focused search engine written in Rust, as an alternative to Google Search.
Mostly Rust and TypeScript day-to-day — Python for research, Next.js for anything I want to ship today, and a working knowledge of the infrastructure underneath: Postgres, Redis, Docker, AWS.
What I'm reading
Books shaping how I think, outside the code.
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“A reader lives a thousand lives before he dies… The man who never reads lives only one.”
Want to talk?
Open to full-time roles and freelance work. Best reached by email — try-on diffusion, scrappy infra, or the economics of closing a startup, I'm happy to dig in.