01 /
Questions
These are questions from the evaluation set, answered by Ask this site from the case studies and checked on the run of 2026-09-15 and reviewed by hand before publishing. Ask your own with ⌘K or True in the corner.
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01 / Availability and basics
- Is he available for remote contract work?
- He is open to remote AI engineering and full-stack roles, including contract work, and can overlap with US and EU timezones. Sources: profile
- What timezone can he overlap with?
- He works in IST and is available in US Pacific evenings, which is early morning in India. Sources: profile
- Where does he work?
- He works as a Full Stack Developer Intern at Third Shade Media Services and as a Certified LLM Evaluation Expert at Deccan AI Experts Sources: profile, changelog
- Where can I find his GitHub?
- He can be found on GitHub at https://github.com/Satyam087 Sources: profile
02 / Notify and backend
- Has he handled payment webhooks in production?
- He has worked with payment webhooks in a production system, handling events such as payment succeeded and refund processing and implementing guards and idempotency to ensure correct behavior. Sources: writing-webhook-refund-handler, campuscritique
- What is Notify?
- Notify is a multi-tenant notification service built in Java 21 with Spring Boot 3.5, RabbitMQ and PostgreSQL that processes one incoming event into separate jobs for each matched channel such as in-app, email (via Resend) and push (via Firebase). It stores events in Postgres as the source of truth, uses RabbitMQ as a courier, and a delivery worker polls every 5 seconds in batches of 50 to send notifications. The service has been in production since May 2026, serving tenants like CampusCritique and a contact-form, and reports a delivery rate of 98.1 % for 1,346 jobs. Sources: notify, changelog
- How many notification jobs has Notify delivered?
- Notify has delivered 1,321 notification jobs. Sources: notify, writing-1346-notification-jobs
- What happens in Notify if RabbitMQ is down when an event is published?
- When RabbitMQ is down the publish step fails silently, but the client still receives a 202 response; the event row remains in the database with status QUEUED and a recovery scheduler will attempt to republish any QUEUED events after 120 seconds. Sources: notify, writing-1346-notification-jobs
- What is CampusCritique?
- CampusCritique is a trust-first college discovery platform for India’s new-age tech programs that aggregates verified student reviews, structured college data, side-by-side comparisons and a community in one place, and offers a Connect feature for prospective students to book paid one-to-one video calls with verified seniors. It was co-founded by three people in April 2026, with the founder handling payments, notifications, admissions automation and the initial UI. Sources: campuscritique, changelog
- How many users does CampusCritique have?
- CampusCritique has 1.1K users since launch. Sources: campuscritique
- What payment gateway does CampusCritique use?
- CampusCritique uses the Cashfree payment gateway. Sources: campuscritique
- What broke on 15 June on CampusCritique?
- On 15 June 2026 the payment webhook was broken, causing every payment webhook to be treated as a refund and routed to the refund handler. The issue stemmed from a refund-guard bug that was fixed later that evening with a one-line change to the webhook logic. Sources: writing-webhook-refund-handler, campuscritique
- Has he written anything about payment webhooks?
- He has written about payment webhooks, notably in an article titled "The webhook that routed every payment to the refund handler" which discusses the four rules he follows for payment webhooks and details a bug where all payment webhooks were mistakenly routed to a refund handler. Sources: writing-webhook-refund-handler, writing
03 / AI and machine learning
- What is OilTrace?
- OilTrace is a U-Net based oil-slick detection system for Sentinel-1 radar that was created for the Smart India Hackathon 2026 and serves as an ML detection service, investigation dashboard, and technical report. Sources: oiltrace
- What Dice score did the oil-slick detector reach and what was the baseline?
- The detector achieved a Dice score of 0.35, compared with a classical baseline Dice of 0.06. Sources: oiltrace, changelog
- How many trap scenes were in the OilTrace training data?
- He used 685 deliberate trap scenes in the training data. Sources: oiltrace
- Did OilTrace win anything?
- OilTrace won the internal Smart India Hackathon round. Sources: changelog
- What model architecture does OilTrace use?
- He uses a plain U-Net architecture for the detector Sources: oiltrace
- Can he build voice agents for Indian languages?
- He has built voice-enabled AI advisors that support Hindi and Marathi, demonstrating the ability to create voice agents for Indian languages. The projects involved end-to-end AI services, orchestration, and voice pipelines using Indian-language speech-to-text and text-to-speech components. Sources: kisanmind, changelog
- What is KisanMind?
- KisanMind is a five-node LangGraph advisor for farmers that provides Hindi and Marathi voice interaction, built in 24 hours during a hackathon in April 2026. It consists of an AI service built with Python, FastAPI, LangGraph, LangChain and other tools, and a Next.js frontend wired to display agent output. The system includes automated tests (152 test functions) and handles market, financial, crop recommendation and chat functionalities. Sources: kisanmind, changelog
- Which speech APIs did KisanMind use?
- He used Sarvam Saaras for transcription, with Groq Whisper as a fallback, and Sarvam Bulbul for speech synthesis, with ElevenLabs as a fallback. Sources: kisanmind
- Does KisanMind have published evaluation numbers?
- He does not have any published evaluation numbers; the project notes that no agreement rate or word-error rate has been measured or released yet Sources: kisanmind
- Has he built a RAG system?
- He built a retrieval-augmented generation (RAG) system for his portfolio and published its evaluation. Sources: writing-rag-for-my-own-portfolio, profile
- What did AskMyNotes win?
- AskMyNotes won first place at the Noesis Hackathon. Sources: askmynotes, profile, changelog
- What is the similarity threshold in AskMyNotes?
- The similarity threshold in AskMyNotes is set to 0.30. Sources: askmynotes
- What does he do at Deccan AI Experts?
- He evaluates terminal and agentic workflows used to train and benchmark large language models for Deccan AI Experts. Sources: changelog, profile
- What are his hackathon results?
- He placed first in the Noesis Hackathon in March 2026 and earned second prize in his first hackathon, the cultural-club event in October 2025. He also ranked in the top two of about forty teams at HackWarts in April 2026 and won the internal round of the Smart India Hackathon 2026, with the national round pending. Sources: changelog, profile, kisanmind
04 / Everything else
- What is Humraah?
- Humraah is a private, family-first matrimonial service that offers Aadhaar-verified profiles, up to three curated introductions a week, photos hidden until the chat stage, a five-day supervised family chat, and a guarded path from YES/NO/LATER to mutual interest, biodata and a Meet/No decision. It was built as a single backend serving a WordPress-based public site and PWA, an Expo mobile app for Android and iOS, and an admin dashboard, using Node.js, Express 5, MongoDB, JWT, React Native, TypeScript and other tools. Sources: humraah
- Is the Humraah app in the app stores?
- The Humraah app has reached the App Store and Google Play review stage, but it is still in testing and not yet publicly released. Sources: changelog
- What security problems did he find in the Humraah audit?
- The audit on 30 June identified forty issues, notably that authentication tokens were stored in localStorage, user images were accessible via public URLs, and several features required by the specification were missing. Sources: humraah
- Has he built a React Native app?
- He has built a React Native app, as indicated by his work shipping full-stack projects that include React Native components and by the specific development of the Expo and React Native version of Humraah from scratch. Sources: profile, changelog, humraah
- What is Margo Rubber?
- Margo Rubber is a B2B export website for a rubber-components manufacturer that provides eleven product categories, SKU pages, industry information, an export map, case studies, resources, legal pages and enquiry forms. It was built by Satyam Kumar Singh as the sole engineer for Third Shade Media during August to September 2026, using a stack that includes Next.js 16, TypeScript, Tailwind v4, MDX, Zod, Sanity and Neon Postgres. The project focused on preventing contradictory source data from reaching production by enforcing build-time validation and null-fact handling. Sources: margo-rubber
- How did he stop wrong facts reaching production on the Margo Rubber site?
- He built a facts registry where any contradictory value was set to null in a TypeScript file, and the template rendered null facts as nothing, so incorrect data never appeared on the site. The build process validated front-matter with Zod and included gates that failed the build and reported the exact field path whenever content was wrong, ensuring nothing unverified reached production. Sources: margo-rubber
- What is PageNotes?
- PageNotes is a reading-path planner that lets users type a topic and then groups Open Library results into beginner, intermediate and advanced levels, highlighting a "best place to start" and allowing users to view descriptions, subjects and related titles while saving books, notes and status. It was built as a solo college assignment between April and May 2026 using React 19, Vite and the Open Library API, and is currently live. Sources: pagenotes
- What did Subhesh Kumar say about him?
- Subhesh Kumar said, "One of the smartest and most hardworking student. Truly well deserved, congratulations!" Sources: testimonials
- What has Satyam written about?
- He has written technical articles and blog posts on his site covering async delivery and reliability, RAG evaluation, and payment webhooks and idempotency. Specific titles include "What 1,346 notification jobs taught me about async delivery" about Notify's 98.1% and failed jobs, "I built a RAG system for my own portfolio, then published its evaluation" describing 125 chunks and a benchmark, and "The webhook that routed every payment to the refund handler" outlining rules for payment webhooks. Sources: writing, writing-rag-for-my-own-portfolio, writing-1346-notification-jobs, writing-webhook-refund-handler