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People call him Harsh. Friends call him Vardhan.
Harsh is a Forward Deployed Engineer at InboxKit, where he's the engineer enterprise customers work with when something breaks. He built a Perplexity-style multi-agent research system, a crop-disease model with 99.55% accuracy that became a Springer paper, and the scoring engine behind Arcflip's career matching. Right now he's building RedditMind.
Things I've built and the work I do. Most of them do something when you poke them.
Live, and in people’s hands.
2026, will your email land?
Try
Open the full report in Stamp for DKIM, blocklists, MTA-STS and exactly what to fix.
Stamp runs the DNS lookups Gmail, Outlook and Yahoo make before they accept your mail, grades the domain and tells you exactly what to publish. This card does a real, smaller version of it: three live lookups from your browser.
Next.js 16, React 19, Drizzle, Turso, Vercel
2026, UI concept: a foot pedal for AI agents
Press and hold the pedal. Foot up. Nothing is running.
A pet project in pure UI: a product page for a pedal that doesn't exist, where agents run only while your foot is down. A 3D pedal, exploded technical drawings, and a deadpan voice. Concept. No pedal exists.
three.js, hand-written HTML, CSS and JavaScript
Earbuds Pro X, wireless
4.8 from 1,204 ratings
D Many of these reviews look coordinated. Read the 4-star and 2-star ones.
2026, Chrome extension: fake review detector
Demo with made-up reviews. RealCheck is in Chrome Web Store review.
Grades the reviews on a product page from A to F while you shop, on Amazon, Flipkart, Walmart, Myntra and more, and shows why. It runs entirely in your browser, makes no network requests of its own, and has no sign-up.
Chrome extension, JavaScript, runs fully on-device
Being built, or about to be.
Building now, YouTube videos into structured content
How a small bakery prices a loaf
The website is live, but the product is still being built, so pasting a link there won't extract anything yet. These are sample outputs.
Paste a YouTube link, or make one API call, and get a summary, key points, verified quotes, chapters, SEO metadata and social posts back.
Next.js, Hono, Claude API, Postgres on Neon, Drizzle, Upstash
Building now
Your morning briefing
r/LocalLLaMA
Why it matters to you: you've been reading about running models cheaply.
r/MachineLearning
Why it matters to you: it's your Krishi Saahayak result, replicated.
r/startups
Why it matters to you: it's your job title.
3 of 412 new posts made the cut. Preview with made-up posts.
Still buildingAn agent that reads your subreddits overnight and hands you a short briefing in the morning, learning what you care about from what you read.
Next.js, Trigger.dev, Claude API, Postgres with pgvector
In planning, a trip planner set as a railway timetable
Drag a stop anywhere, on desktop or phone, and the list, map, travel times and warnings stay in sync. This card is a small sketch of that idea: the Louvre is closed on Tuesdays, so move it.
In planning: Astro, React, MapLibre, OpenStreetMap data
Where I’ve been employed.
Dec 2025 to Feb 2026, AI research intern
A toy version of the engine I built for an AI career-matching platform. The real one combines many signals to rank best-fit candidates at scale, with pipelines that keep the data clean and scores calibrated against reference profiles.
Apr 2026 to now, remote, Dubai
Ticket 4821Enterprise customerOpen
“Half our mailboxes stopped sending this morning.”
A typical day, simplified. I'm the engineer enterprise customers work with when something breaks, and I turn what they ask for into product changes.
Where it started: models, agents and papers.
2025, crop disease detection
Five models vote
DiagnosisLate blight
Demo only. The real model isn't running here, and your photo never leaves your browser.
Scale starts at 85%
A CNN trained from scratch on 38 disease classes, then an ensemble that votes. Optimised with TensorRT and served as a real-time Flask API.
Python, TensorFlow, TensorRT, Flask
2025, multi-agent deep research
You've already used this one.
The agent at the top of this page is a scripted version of it. The real one runs separate LangGraph agents that plan, search the live web through Serper.dev, analyse, check their own claims and write a report with citations.
Python, LangGraph, OpenAI API, Serper.dev, Streamlit
Three co-authored, Springer and Elsevier
ICICC-2026, Springer
Abstract. Deep learning models that identify crop diseases from leaf images across 38 disease classes, built from the Krishi Saahayak work.
AcceptedSpringer, 2025
Abstract. Machine learning on data from everyday digital devices to assess behavioral health.
PublishedAstronomy and Computing, Elsevier, 2025
Abstract. A cosmological model studied within a higher-order theory of gravity. Volume 53, article 100988.
Published2025, LLM screening assistant
Hi, I'm TalentScout. Which of these do you work with? I'll ask you a question about it.
Writes technical questions for the stack each candidate says they know, so recruiters don't draft them by hand. The original runs on Zephyr-7B; these questions are pre-written.
Python, Zephyr-7B, Hugging Face, Streamlit
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