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
When disaster strikes, AI saves lives.
Applications: satellite imagery analysis to assess damage within hours of an earthquake. Predictive models that forecast flood paths and evacuation routes. NLP systems that process…
By Pranay Mahendrakar Read postIndia is producing AI startups at an unprecedented rate.
Funding landscape: $4B+ invested in Indian AI startups in 2025. Accel, Lightspeed, Peak XV (formerly Sequoia India), and Matrix Partners all have dedicated AI investment theses for…
By Pranay Mahendrakar Read postFashion tech powered by AI is a $8B market nobody in ML talks about.
AI in fashion: virtual try-on using generative models (try clothes without wearing them). Trend prediction using social media analysis and CV. Automated design generation. Size…
By Pranay Mahendrakar Read postIndia is building sovereign AI infrastructure at an unprecedented pace.
What's being built: India's own GPU cloud infrastructure (reducing dependence on AWS/GCP for AI compute). Indic language foundation models (Sarvam AI, AI4Bharat). National-scale data…
By Pranay Mahendrakar Read postThe world's population is aging rapidly.
Applications: fall detection using computer vision and wearable sensors. Medication reminder systems with voice AI. Companion chatbots that reduce loneliness (studies show measurable…
By Pranay Mahendrakar Read postThree mega-trends that will define the AI job market through 2027.
Mega-trend 1: The Agent Economy. AI agents that work autonomously, hire each other, and handle complex workflows. Jobs: Agent Architect, Agent Ops Engineer, Tool Integration Specialist…
By Pranay Mahendrakar Read postGovernment AI spending globally: $25B+ by 2027.
Applications: intelligent document processing (automating bureaucracy). Fraud detection in government programs. Predictive analytics for urban planning. NLP for citizen services…
By Pranay Mahendrakar Read postThe 10 biggest career mistakes I see AI engineers make.
1. Chasing frameworks instead of fundamentals. LangChain changes. Linear algebra doesn't. 2. Collecting certificates instead of building projects. Your 15th certificate has zero marginal…
By Pranay Mahendrakar Read postDetailed salary breakdown by AI specialty in 2026. Bookmarking material.
LLM/GenAI Engineer: US: $160K-$300K | India: 25-60 LPA | Remote: $130K-$250K AI Safety/Evaluation Engineer: US: $150K-$280K | India: 20-50 LPA | Remote: $120K-$230K ML…
By Pranay Mahendrakar Read postIndia is uniquely vulnerable to climate change AND uniquely positioned to solve it with AI.
India-specific climate AI needs: monsoon prediction that farmers can actually use (improving on current 5-day forecasts). Flood prediction for river systems that affect millions…
By Pranay Mahendrakar Read postLet me give you the clearest picture of the AI job market I can.
What's true: AI engineering is the highest-demand, highest-paying technical specialty in history. The shortage is real. The salaries are real. The opportunity is real. What's also true…
By Pranay Mahendrakar Read post300+ posts. Thousands of insights. Dozens of career paths explored. But it all comes down to this.
The AI revolution is the biggest professional opportunity of our lifetime. Not because AI is magic — but because it's the first technology in decades that genuinely transforms every…
By Pranay Mahendrakar Read post