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Prakhar Kishore@prakharkishore91990
1
Events attended
1
Submissions made
India
1 year of experience
About me
About Me I am an AI entrepreneur, systems architect, and technology builder driven by a passion for solving complex real-world problems through intelligent systems. I believe that the future of technology lies not in building isolated applications, but in creating AI-powered infrastructure that transforms how organizations think, operate, and make decisions. My work focuses on artificial intelligence, autonomous agents, enterprise automation, high-performance computing, and scalable software architecture. I enjoy breaking down complex challenges into elegant, efficient systems that combine advanced reasoning with practical execution. Whether designing enterprise AI platforms or developing innovative digital products, my goal is always to build solutions that deliver measurable, long-term impact. I am particularly interested in applying AI to industries where complexity is high and the opportunity for transformation is even greater including healthcare, education, hospitality, finance, and other enterprise environments. I believe AI should augment human expertise, automate repetitive processes, and enable better decisions at scale. I founded Synapse Foundry with a simple vision: to engineer intelligent systems that move beyond automation and become the foundation for the next generation of organizations. My approach is rooted in first-principles thinking, continuous learning, and an unwavering commitment to building technology that is reliable, scalable, and genuinely useful. I see every challenge as an opportunity to learn, innovate, and create. My mission is to build AI that doesn't just perform tasks it amplifies human potential, accelerates innovation, and helps shape a smarter future. I don't just build software I build intelligent systems designed to create lasting impact.
🤓 Latest Submissions
SVAASA — Sacred Ayurvedic Fragrance Intelligence
SVAASA is a luxury Ayurvedic fragrance platform that replaces generic perfume shopping with a personalized, therapeutics-aware formulation and concierge experience — and puts the scoring math on the GPU. The core is a hybrid Formulation Engine: users pick health conditions, allergens, and scent preferences; the engine rule-filters out contraindicated and allergen-matched ingredients, then scores the rest by therapeutic relevance and preference fit. Scoring runs on a custom WGSL compute shader through WebGPU — each ingredient scored by its own GPU thread (64-thread workgroups), dispatched via Chrome's Vulkan backend onto AMD RDNA compute units, with a SIMD-friendly typed-array fallback when WebGPU is unavailable. A live benchmark page (/amd-compute) compares CPU vs. GPU timing across 64 to 16,384 ingredients. Scored ingredients are distributed across a base/heart/top note pyramid and ratio-adjusted by intensity and medium into a custom attar recipe. Around it sits the Aureān Concierge, a "zero-system-language" support channel: clients see only their message and a timestamp, never a ticket number, queue position, or SLA countdown. A client-side NLP triage classifier reads every message for intent (medical alert, botanical alert, bespoke request, delivery issue, complaint), scores urgency, and auto-escalates medical or botanical safety alerts to a 5-minute SLA before encryption and queueing for a human concierge. A Treasury layer runs automated anomaly detection — ledger balance checks, seal-chain integrity, balance drift, forex exposure — locking withdrawals on any discrepancy. The storefront is an immersive 3D experience (React Three Fiber) with dual checkout: Stripe and native Solana/Ethereum wallets via wagmi and viem. Shipped as a multi-stage Docker image (Node build → nginx serve) built for linux/amd64, matching the AMD judging infrastructure end to end — container platform down to the GPU compute path.
13 Jul 2026
