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The Fifth Elephant Pune edition 2026

machine learning engineers, ai infrastructure engineers, engineering managers, qa engineers, robotics engineers, data engineers, site reliability engineers

automated test generation; world foundation models for autonomy; diffusion backbone with 3D constraints; CARLA simulator scenario matching; knowledge graph prod memory; agentic AI scheduling; multi-agent PPO scheduling; causal DAGs for manufacturing; GenAI e-commerce catalog enrichment; repo-native PRDs with doc-indexed prompts; persistent context graph orchestration

titleauthorlength
From PRDs to test cases: building AI-powered QAManas Chaturvedi10m
An internal AI-powered testing platform converts PRDs, visual designs and OpenAPI specs into runnable unit, integration and UI test cases across 160+…
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From perception to action: World Foundation Models (WFMs) for autonomous robots and vehiclesAbhilash SK27m
World Foundation Models replace modular stacks with an end-to-end AI that turns multi-camera and lidar inputs into control trajectories by training on…
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Beyond vector search: knowledge graphs for an AI-native SDLCAditya Godbole32m
Argues that running agents at organizational scale requires a schema-driven prod mode memory rather than raw vectors, and shows a real build: a knowledge graph…
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From scratch to production in three months: the AI-first delivery modelPrasanth Jayaprakash38m
A team rebuilds Travelopia’s lead‑scoring platform in 111 days, shipping 6 lambdas, 3 microservices and a frontend and running at 5,000 leads/month. Work…
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How GenAI is transforming e-commerce cataloguesNeha Dixit29m
Target describes a deployed stack that mixes classical ML, vision models and GenAI to clean and enrich millions of SKUs: anomaly detection for package…
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How agentic AI solves complex scheduling problemsKarthika Vijayan47m
Simulated an airline with 7,500 flights over 30 days, 80 aircraft, 900 crew and 25 airports and compares MILP (4%), genetic (4.8%) and simulated annealing…
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Interrogating your twin: causal reasoning in manufacturing systemsPrasanna Bhogale34m
Uses a causal DAG plus observational data to estimate interventions on a 23‑machine line and produce actionable policies. Tests implied conditional…
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Building the systems that build the softwareAtharva Raykar30m
Claim: engineering shifts from writing code to designing sociotechnical systems that orchestrate AI code producers. Uses: StoryMachine experience, demos with…
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The Fifth Elephant Pune edition conferencePrasanth J, Karthika Vijayan, Atharva Raykar08h 15m
Claims a deployed system that turns LLMs into a decision engine for smart buildings, not a chatbot: it uses stateful orchestration, a persistent context graph…
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