Vinay Mehta

Founding Member leading AI Engineering strategy at Outspark — an AI-powered career acceleration platform. I own the translation from AI concept to shipped production systems, while transforming how engineering teams build software in an AI-native world. Scope: → AI Engineering leadership across product, platform, and infrastructure → Strategy + execution for Production AI Agents and Agentic Systems → AI-Native Engineering Transformation org-wide ──────────────── 🤖 PRODUCTION AI AGENTS & AGENTIC WORKFLOWS → Career AI Assistants serving real candidates at scale → Multi-agent systems with reasoning, memory, human-in-the-loop → Voice + chat agents qualifying leads in production → Browser automation agents replacing manual workflows end-to-end 🧠 CUSTOM MODELS & LLM ENGINEERING → Fine-tuning SLMs (LLaMA, Qwen) for cost-efficient domain performance → Fine-tuning Flux LoRAs for production image generation (headshots, banners) → Multi-Provider LLM Orchestration (Claude, GPT, Gemini) → Production RAG architectures with vector DBs and semantic search → Multimodal AI Applications (text + image) in production 🚀 AI-NATIVE ENGINEERING TRANSFORMATION → Shifted engineering teams to AI-native workflows → AI-augmented coding, testing, and design org-wide → Idea-to-production cycle: weeks → days → Built culture of AI-first experimentation and adoption ⚙️ AI INFRASTRUCTURE & LLMOPS → AI Cost Optimization frameworks with measurable ROI → AI evaluation and observability across all systems → AI-readiness across infrastructure, data, and platform layers 📊 AI STRATEGY & CORPORATE DEVELOPMENT → AI roadmap aligned with product, engineering, and growth → AI-first strategy as Founding Member ──────────────── The thesis: AI shouldn't be a feature you bolt on. It should change how your team works, what they build, and how fast they ship. Stack: Claude · OpenAI · Gemini · LLaMA · Mistral · Flux · LangGraph · Vector DBs · MCP · vLLM · Browser Automation · RAG · Fine-tuning · Voice AI

Sr. Technical Architect — Where I scaled systems to millions, then went all-in on AI Led architecture, development & deployment of high-scale digital products at CoolBoots. Started in classic backend engineering, ended up architecting AI-first products — driving the company's transition into Generative AI and earning OpenAI recognition. ──────────────── 🏗️ HIGH-SCALE ARCHITECTURE → Microservices handling 100M+ API hits & 90K+ concurrent users → Real-time analytics & data mining platforms → Fraud detection systems that saved substantial cost → Containerized deployments with Docker on AWS 🤖 AI-FIRST PIVOT & LLM INTEGRATION → Led architecture for AI products that earned OpenAI recognition → Built early Generative AI features in production → Architected RAG-based systems for intelligent search → Integrated LLMs into user-facing products at scale 🚀 RAPID DELIVERY & RESILIENCE → Delivered multiple product rollouts in tight timelines → Built intelligent alert & monitoring (SMS/Telegram integrated) → Reduced platform costs via internal fraud detection → Established CI/CD pipelines with Jenkins & GitHub 👥 ENGINEERING LEADERSHIP → Built & mentored cross-functional engineering teams → Established coding standards & code review culture → Migrated teams from traditional to AI-augmented workflows → Hands-on architect — wrote code, reviewed PRs, owned outcomes 📊 BUSINESS IMPACT → Translated business goals into scalable execution → Partnered with product, design & business leadership → Delivered measurable cost savings through architecture → Took CoolBoots from traditional SaaS to AI-recognized innovator ──────────────── The lesson from 8+ years at CoolBoots: The best AI products aren't built by AI specialists. They're built by experienced architects who go all-in on AI. ──────────────── Stack: Java · Spring Boot · Node.js · React · Python · MongoDB · MySQL · Redis · Kafka · RabbitMQ · Spark · Docker · AWS · CI/CD · LLMs · RAG · Generative AI

Solution Architect, Project Management,Product Development , Android Application , Service Api Using Node.js , MongoDB , Online Api Documentation using node.js with I/O Docs - Mashery, Ranking and User Preference Matching Algorithm, Git version control , Open source tool for bug tracking and project management -RedMine , Code Review Open source tool - Fabricator. Hybrid Mobile App Development , Phone-gap, Cordova, Iconic Framework, SOA, ESB- WSO2/MuleSoft, OLTP/OLAP, VoltDB,PostgreSQL, Neo4j, Recommendation Engine - Apache Mahout, Air-Watch(VMWare)

I have Joined V-Enable as a Software Engineer.

This is my First Job as joined as Software Engineer. i Worked on Symbian and Brew Handset platform.