Ashish Sharma AI · Ashish AI · Consultant & Engineering Manager, Inc42 · Delhi
Ashish Sharma AI consulting from Delhi — Engineering Manager at Inc42 Media, leading AI adoption end-to-end: infrastructure, agent frameworks, cost optimization, and the AI-native teams that make it stick. Built on 9+ years of shipping products across webapps, payments, and servers.
Find where AI actually pays off in your business — and leave with a prioritized roadmap: use cases, tooling, and rollout order, grounded in what your team can realistically ship.
The foundation done right: model access, agent workflows, in-house frameworks, and the guardrails that turn AI experiments into production systems.
LLM workloads engineered so spend stays predictable as usage grows — model selection, caching, batching, and per-workflow cost monitoring, designed in from day one.
Rework how your engineering team operates — workflows, reviews, and habits — so AI-first becomes the default. This is where the 80% faster shipping at Inc42 came from.
Leading Inc42's AI transformation — taking AI beyond the engineering team and into how the whole company works. Automating workflows department by department, making AI-first the default way of operating, and measuring it where it counts: delivery.
Owned the product portfolio end-to-end — architecture to release — while laying Inc42's AI foundation: AI infrastructure from zero, in-house agent frameworks, and LLM workloads engineered so costs stay optimized as usage grows.
Joined as an engineer; promoted to Senior Software Development Engineer within a year. Worked every layer of the product — frontend, APIs, data pipelines, infrastructure — designing systems at production scale for one of the country's most-read startup publications.
Media traffic doesn't forgive slow code. Built high-performance backend services and APIs in Node.js, shipped React frontends, and helped build their iOS app. Learned to let data decide — A/B testing new modules, shaping product strategy from analytics, and running the servers and cloud underneath it all.
Built custom webapps and systems for clients end-to-end — and learned everything around the code that makes a product real: breaking down requirements, leading a team, and owning delivery from first brief to launch.
A side venture running for six-plus years — owning a product completely: strategy, build, launch, growth. Lately, building hyper-casual games with AI — from concept to playable, at AI speed. Founding something teaches what no job can: nothing ships unless you ship it.
Good systems outlive their authors. I build for the engineer who inherits the codebase — and now, for the agents that will run it.
I'm Ashish Sharma — the person behind Ashish Sharma AI (often searched as Ashish AI) — AI consultant and Engineering Manager at Inc42 Media, based in Delhi. Nine years in, the through-line is the same: take something messy — a client brief, a traffic spike, a legacy stack — and leave behind something scalable and legible. These days that means helping businesses adopt AI properly — the infrastructure, the frameworks, and teams where agents are part of the org, not a novelty. Always up for a conversation about tech innovation.
AI adoption works in three layers: infrastructure (model access, agent frameworks, data plumbing), workflows (automating the processes where AI saves real time), and people (getting the team to work AI-first by default). Most companies fail by buying tools first — the workflows are where the value is.
An AI-first engineering team uses AI at every step — planning, coding, review, release — rather than as an occasional assistant. At Inc42 Media, making the team AI-first cut shipping time by 80%.
AI cost optimization means right-sizing the model per task, caching aggressively, batching where latency allows, and monitoring spend per workflow. Costs stay predictable when optimization is designed in from the start, not patched on after the bill arrives.
I lead engineering and AI transformation at Inc42 Media in Delhi, and I'm open to AI consultancy conversations with businesses that want to adopt AI seriously — from the first roadmap to running production systems.
Book a free 30-minute call. We'll look at where AI fits in your business and what a realistic first step looks like — no slideware, just a working plan.
Open to AI consultancy conversations — AI adoption, agent infrastructure, cost optimization, and building AI-native teams.
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