Teja_vt

Day 4 Ran HUD detection on ~2k Valorant clips to generate training data for the next model (minimap player position tracking) on the cloud via S3. Then shipped dev tooling: set up bidirectional sync between my journal repo and project workspace with a post-merge git hook that auto-syncs Claude Code skills and agents on every pull across workspaces and devices. Infrastructure usually feels invisible, but it's the difference between shipping fast and drowning in coordination overhead. #buildinpublic #machinelearning #devops

Day 3 Today I locked down the scope for ClutchLabs V1: a 12-block ensemble AI pipeline that answers "Why am I inconsistent?" for Valorant players, which other API-based stat trackers cannot. Then built the dev system to automate the crew of agents and skills to actually ship it: - 11 Claude Code skills (YOLO, CNN, OCR, pipelines, etc.) - 7 agents for ML research, debugging, code review, EOD daily tweet and journal logs -MCPs for GitHub + Notion + X wired up #buildinpublic #machinelearning #valorant #esportsdata

Day 2 of building in public. 90% of days are just debugging, setting up CUDA dependencies for GPU training on EC2, configuring ECS, or staring at CloudWatch logs. Still a long way to go. Vision → Clutchlabs.ai #valorant #esportsdata #gaminganalytics

Day 1 of building in public. Building analytics to recognize player behavior nuances in-game. Currently working on event extraction via computer vision. Here's a glimpse of progress in HUD detection so far. Vision → clutchlabs.ai

@LetMeCodeee Cpp

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@aditiitwt Hi

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@vineel_ @AJIOLife

@DrEliDavid @SVB_Financial Lol

🚨 SVB deleted their twitter account @SVB_Financial This is what they posted just a few days ago:

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