I ship AI systems the same way a good team ships software: scoped tickets, measured outcomes, no mystery work. Retrieval, agent orchestration, evaluation, and the product surfaces around them.
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216
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646
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17
Repos contributed
16
Day streak
ScholarNotesPro — RAG research workspace
NotebookLM-style research app: PDF + YouTube ingestion, inline citations, and generated summaries, timelines, mind maps and study guides.
Daybreak — AI calendar scheduler
A terminal LangGraph scheduler rebuilt as a multi-user web app: per-user Google OAuth, SSE streaming, split-screen chat and agenda.
Persona chat — AI tech-educator simulator
Streaming chat that simulates the teaching style of two Hindi/Hinglish tech educators, with a persona toggle and prompt storage in Postgres.
aniketdev.blog — notebook book-blog
A book-style reading experience: markdown compiled to typed blocks, a page-flip reader, and a FastAPI + Neon backend with a markdown→blocks compiler.
AI Image Editor — masked inpainting & outpainting
Upload a photo, paint a mask over the region to change, describe the edit, and regenerate just that area — plus one-click background removal, style filters, and aspect-ratio expansion.
Self-Consistency Answer Engine
Fans one prompt out to OpenAI, Claude and Gemini in parallel, then synthesizes a single answer with Claude — streamed live.
AI Expense Tracker (generative-ui)
Conversational expense tracker with generative UI, JWT auth and per-user data isolation on a persistent SQLite volume.
Live stock leaderboard (Redis)
Real-time NSE/BSE leaderboard on Redis sorted sets, with decoupled WebSocket write and button-click read layers.
“Ask my portfolio” chatbot
A small RAG agent that answers questions about my projects from this board’s own data and my write-ups.
Cost-aware model router
Routes each request to the cheapest model that clears a quality bar, with per-tenant budgets and live fallback.
Architecture decisions I've had to defend, written up after the fact. Each opens with the problem, the trade-off I took, and what it cost.
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Big picture: the journey is User → Web server (CPU) → Inference engine → GPU (the model) → back to User Text is turned into numbers, the…
If you've built one RAG system, you know the demo to production gap intimately. The demo works because you asked a clean question against a…
Most API discussions collapse into "REST vs GraphQL" flame wars and never get to the decisions that actually matter day to day: how you…
As an application grows, a single database stops being enough. You need to spread data across multiple servers — but how you spread it…
Unlike shared hosting, a VPS ships with nothing but the operating system. Everything else — firewall, users, web server, your app — is on…
Let's start simple and then move step by step toward more users. Relational and Non relational If many users access the system…
A load balancer distributes incoming network traffic across multiple servers to ensure that no single server is overloaded, and the traffic…
System design is the skill of choosing the right componts and putting them in right place to solve software engineering problem. Questions…