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PLAYER 1 > SYSTRIS : TETRIS WITH SYSTEMS@huesofbanter · Charan RathoreI’m Charan. I build tools that connect evidence, turn data into decisions, and make complex work easier to understand. Explore the pieces behind them.
Choose a piece. Follow the decisions down to the work.
An answer you can trust. A pattern worth following. Something that feels easier to use. Choose what you came looking for.
Line width highlights the main story, not a performance score. Every connection is curated from the work.
Seven projects. Seven pieces. Scroll to build the stack. every project opens automatically.
← → move · ↑ rotate · Space drop · C hold · P pause. On touch: tap to rotate, swipe to move or drop.
Score decrypts files the page doesn't show. Next decrypt at 150 pts.
The docs explain each API. A support question asks how the rules fit together. I’m building a way to connect that evidence, inspect the answer, and measure where the system still fails.
What if documents became memory? Six source-linked blocks: click one and the original lines light up, then publish to email, web, or doc without rewriting the truth.
Can a forecast know your rooftop? Ground truth, API bias correction, ensemble models, and a public leaderboard. The product is the closed loop, not the model name.
Kanban with drag-and-drop tasks, team collaboration, and live updates. A small TypeScript stack that still has to feel fast when people fight over the board.
Can an AI answer also explain how much it should be trusted? Multi-agent research with freshness, source agreement, and a confidence score you can inspect.
YOLOv8 on drone footage for blackbuck detection. Applied vision for conservation, not another toy detector notebook.
1,000+ labeled STL bolts via the Fusion 360 API. Parametric generation to classification-ready data, because CAD ML starts with boring, correct labels.
Analytics taught me to look for the signal. Building makes me test whether I understood it. Here’s the loop I’m trying to get better at.
You press Enter and an answer appears. I spent months on what happens in between. Stretched out, those two seconds are exactly one Tetris line: ten cells, and the model only turns up for the last five.
Before anything can be remembered or retrieved, one question has to be answered. The login screen you scroll past is solving the hardest problem on the internet, and it isn't intelligence. It's identity.
Three invisible systems, then the model. Half the wait is the part everyone credits; the other half is the part that makes it possible.
The board keeps growing. Explore the daily stack, language pieces, and the next repositories in the queue.
I really love designing systems that love me back :)
“Most tutorials show you how to call an API. I want to understand how to build the infrastructure that makes AI work reliably at scale.”
I care about correctness over convenience, documented tradeoffs over hand-waving, and systems that fail gracefully when things go wrong.
Aug 12 – Sep 10 2026 · Public contributions.
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Calendar snapshot: 2026-09-10 10:18:41 UTC · Contributions include commits, pull requests and issues. Checks every 30 seconds; cached delivery and upstream publication can delay updates. The last successful data is retained during this outage.
Cumulative contributions across this 30-day window.
Where contributions land, grouped by UTC weekday.
Working across MENA markets.
OPEN RESUME ↗Seller funnel analytics on the search personalization team. Pipelines and dashboards turning behavior into product decisions across millions of daily searches.
OPEN RESUME ↗Production-grade systems from first principles: RAG, multi-agent AI, computer vision, quantitative finance. Documented tradeoffs, measured failure modes.
OPEN RESUME ↗1 CREDIT IN THE TRAY
Product analytics, AI systems, or any technically interesting problem. Usually reply within 24 hours.
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Python
FastAPI
Celery
PostgreSQL
Redis
ChromaDB
Ollama
TypeScript
Next.js
pdf.js
React
MLflow
LightGBM
IoT
Tailwind
LangChain
YOLOv8
PyTorch