Mobile Systems Architect, AI Integration Specialist,and Engineering Leader specializing in scalable systems,autonomous workflows, and premium mobile experiences.
A curated selection of high-fidelity engineering projects, demonstrating expertise across computer vision, natural language processing, and scalable automation architectures.
A real-time dietary analysis engine utilizing edge-based computer vision. Continuously scans and identifies complex meals, projecting nutritional vectors via an augmented reality HUD.
An enterprise B2B e-commerce portal and mobile POS ecosystem engineered for nationwide auto glass distribution. Features real-time VIN decoding, NAGS catalog integration, and offline-first installer documentation.
An autonomous workflow orchestration infrastructure engineered to scale enterprise talent acquisition pipelines. Eliminates manual bottlenecks via event-driven webhook architecture and intelligent routing.
An enterprise-scale loyalty and rewards platform engineered for nationwide contractor networks. Features secure, tamper-proof QR validation and instant direct-to-bank UPI cashback disbursement.
Hyperlocal grocery & daily needs shopping platform in Jamnagar featuring real-time order tracking, multi-vendor inventory management, and seamless payment gateway integration.
Real-time chat enhancement and AI dating assistant suite. Delivers personalized conversation starters, context-aware pickup lines, and intelligent response suggestions using advanced LLMs.
Comprehensive financial accounting software. Engineered for real-time balance sheet management, automated reconciliation, cash flow tracking, and seamless GST reporting workflows.
E-learning platform featuring real-time reading analytics and device auto-sync capabilities, alongside a robust research collaboration tool for live task updates and document versioning.
The most robust software systems share something with telecommunications networks — they must be fault-tolerant, scalable under load, and architected for the long term.
Survil’s career began in RF engineering and telecom infrastructure at Nokia, Jio, and Vodafone — where systems thinking wasn’t optional. That foundation became the lens through which he now architects mobile platforms, AI pipelines, and automation infrastructure.
Today, as Mobile Tech Lead at Kombee Technologies, he bridges the gap between intelligent software and real-world impact — shipping products that 5,000+ users. depend on daily, training teams of 50+ engineers, and contributing directly to $200K+ in client wins.
An interconnected blueprint of engineering disciplines, demonstrating expertise across mobile architectures, intelligent automation, and robust infrastructure systems.
Achievement
Architected 20+ applications maintaining a 98% crash-free session rate globally.
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Automated processing pipelines for 500+ candidates seamlessly.
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Standardized architecture across 20+ unified applications.
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Engineered robust infrastructure maintaining 99.5% uptime.
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Mentored and trained 50+ engineers in advanced technical standards.
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Delivered tools and products generating $200K+ in direct business impact.
A chronometric map of engineered systems, architectural evolutions, and deployed intelligence.
Architecting high-fidelity AI MVP solutions and guiding cross-functional engineering pods toward production-ready deployments.
Spearheaded the engineering of high-performance mobile ecosystems, establishing unified design systems and modular micro-frontends across iOS and Android pods. Enforced strict memory profiling, custom native bridges, and automated release pipelines to achieve unparalleled UI fluidity and enterprise reliability.
Applied exploration of neural architectures, multi-agent workflows, and generative optimization strategies. Documenting the frontier of autonomous system design.
Multi-step retrieval and reasoning architecture.
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Continuous integration pipeline for evaluating model responses against ground truth data.
Standardized Operating Procedures (SOPs) engineered into the internal documentation hub.
Deep-dive technical articles, architectural breakdowns, and engineering principles published on Medium.
A deep dive into deploying ONNX and TensorFlow Lite models directly on iOS and Android devices, overcoming thermal throttling, and optimizing NPU memory allocation.
Practical strategies for modularizing enterprise mobile codebases, implementing strict boundary layers, and automating dependency injection to eliminate merge conflicts.
How we automated Fastlane, GitHub Actions, and automated UI testing with AI failure analysis to cut release cycles by 30% and maintain a 98% crash-free rate.
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FOR AMBITIOUS STARTUPS, AI-FIRST PLATFORMS, AND SCALABLE DIGITAL SYSTEMS. PROTOCOL: CONNECT.
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