Notes from the
edge of the model.
Field notes on what actually breaks in production — agents, retrieval, evaluation, MLOps, and the career decisions nobody writes down. Longer arguments become papers; these are the rest.
353 posts
AI and blockchain are converging in ways nobody predicted. And it's creating a unique job market.
The intersection: decentralized AI training networks where anyone can contribute compute. On-chain AI agents that execute transactions autonomously. AI-verified digital identities…
By Pranay Mahendrakar Read postThe AI localization market is a $30B+ opportunity that most engineers completely overlook.
Every global AI product needs to work in multiple languages, respect cultural contexts, and comply with local regulations. That's localization — and it's becoming an engineering…
By Pranay Mahendrakar Read postInsurance is an $8 trillion industry run largely on spreadsheets and manual processes.
AI insurance applications: automated claims processing with computer vision (photo of car damage → repair estimate in seconds). Fraud detection that catches organized fraud rings using…
By Pranay Mahendrakar Read postThe next wave of AI unicorns might not be software companies. They might be hardware companies.
Cerebras (wafer-scale AI chips). Groq (ultra-fast inference). SambaNova (reconfigurable AI hardware). Graphcore (intelligence processing units). Tenstorrent (RISC-V AI processors)…
By Pranay Mahendrakar Read postEvery Fortune 500 company will have an AI Governance team by 2028.
An AI Governance team manages: which AI systems the company deploys, how they're tested, what risks they carry, who's accountable when they fail, and how they comply with regulations…
By Pranay Mahendrakar Read postSimulation engineering is the hidden backbone of modern AI development. And it pays remarkably well.
Self-driving cars train in simulation before touching a real road. Robots learn manipulation in simulated environments. Drug candidates are screened against simulated proteins. Warehouse…
By Pranay Mahendrakar Read postAmazon's $1.5 trillion market cap is substantially built on AI.
AI retail applications: demand forecasting (predicting what sells where and when). Dynamic pricing that adjusts in real-time based on demand, competition, and inventory. Visual search…
By Pranay Mahendrakar Read postThe AI-native workplace of 2028 will look completely different from today.
Every knowledge worker will have an AI co-worker. Not a tool — a co-worker. An AI that knows your projects, understands your working style, attends meetings (virtually), takes notes…
By Pranay Mahendrakar Read postThe global AI talent map is being redrawn. And India is at the center of the shift.
What's happening: top AI researchers from Google, Meta, and OpenAI are founding companies in India. Global companies are moving core AI R&D (not just services) to Bengaluru and…
By Pranay Mahendrakar Read postA new job category is forming around AI reasoning systems.
What reasoning engineers build: systems where AI doesn't just generate — it thinks. Multi-step problem solving. Self-verification loops. Chain-of-thought architectures. Systems that know…
By Pranay Mahendrakar Read postThe legal AI market is projected to reach $25B by 2029.
Why legal AI pays so well: law firms bill at $500-$1500/hr. Any AI system that saves lawyers time generates enormous ROI. A contract review tool that cuts 3 hours off a partner's day…
By Pranay Mahendrakar Read postHugging Face has 1M+ models.
A model marketplace economy has formed — and it's creating jobs that look nothing like traditional ML engineering. New roles in the model economy: Model Curator (selecting and…
By Pranay Mahendrakar Read post