Aditya Koushik

About Aditya Koushik

Innovative AI Product Manager with 7+ years of expertise in designing and deploying GenAI-powered products that redefine industry standards across FinTech, Insurance, Banking, HR, and B2B SaaS. Proven ability to bridge complex technical frameworks—RAG, Agentic Workflows, LLM Orchestration, and Voice AI—with measurable business outcomes: 55% conversion lift,$1.3B exits, and 60% operational efficiency gains. Core Expertise GenAI Architecture: Built DIY AI Studios enabling no-code creation of multi-agent systems, knowledge-driven RAG bots, and voice-integrated solutions for Fortune 500 clients. Full-Cycle AI Product Leadership: From ideation → MVP → scaling, leveraging Agile/SAFe to ship solutions in Insurance (sales agents), Banking (advisory bots), and HR Tech (AI recruiters). Technical Execution: Hands-on deployment of LLM stacks (OpenAI, Claude, Gemini), vector DBs, and model-agnostic frameworks with token budgeting, fallback mechanisms, and ethical guardrails. Market Differentiation: Competitor analysis and GenAI trend mapping to position products ahead of market curves. Career Highlights Scaled AI Solutions at MKS Global (FinTech): Led SaaS product suite from concept to acquisition ($1.3B exit), boosting conversions 55% via UX-optimized AI interfaces and CI/CD pipelines. Entrepreneurial Edge: Co-founded ventures securing ₹50L seed funding, mastering capital raising, cross-functional team building, and product-market fit in AI-first environments. Technical Foundation: Deep fluency in API integrations, cloud-native deployment (AWS/Azure), DevOps automation, and RPA—ensuring scalable, secure AI delivery. Why I Build AI \"I believe Generative AI is the ultimate catalyst for human potential. My mission: architect ethical, user-centric AI that transforms workflows—whether creating farm disease detectors saving crops or HR agents shortening hiring cycles. Every solution must balance technical rigor, business impact, and responsible innovation.\" Let’s connect if you’re pioneering GenAI products, scaling enterprise AI adoption, or building the future of agentic automation.

Experience

1. Ai Product Manager

   Chapter Enterprise

   Jan 2025 — Present · Gurugram, IN

   AI Product Development & Strategy: Spearheaded end-to-end delivery of 5+ enterprise-grade AI solutions from ideation to deployment, translating client requirements into scalable architectures using Retrieval-Augmented Generation (RAG), Agentic AI, and orchestration frameworks.Key Projects:DIY AI Studio Platform: Launched a no-code AI agent builder enabling drag-and-drop creation of multi-agent workflows, RAG knowledge bases, and cross-tool integrations (APIs, databases).Implemented one-click deployment to Web/URL/WhatsApp with usage-based pricing, driving 35% platform adoption growth Financial Services Agentic AI: Architected intent-based orchestration agents for Mutual Funds, Insurance, and Loans, integrating child agents for real-time plan comparison.Reduced customer onboarding time by 50% and increased cross-sell conversion by 22% through dynamic recommendation engines.AI-Powered Recruitment Suite: Directed development of text/video assessment agents with real-time prompt-engineered nudges and automated feedback reports.Engineered disease diagnostic AI combining image recognition (OCR), weather data APIs, and feedback-loop retraining.Boosted crop yield by 20% through early disease detection and preventive treatment advisories.Technical LeadershipDefined technical specifications, user stories, acceptance criteria for AI features; authored test cases covering accuracy, latency, and edge scenarios.Managed project timelines, resource allocation, and stakeholder communication across engineering, UX (Figma), and client teams.Optimized data pipelines for continuous model retraining and performance benchmarking.Manage end-to-end product lifecycle, from defining strategy and roadmaps to delivering high-impact features. Collaborating with cross-functional teams, prioritise features based on market trends and customer feedback while ensuring ethical AI practices. Conduct competitor analysis to maintain a competitive edge and drive innovation.

Education

• Institute of Management Technology, Ghaziabad

  Master of Business Administration - MBA, Marketing

• College of Engineering, Guindy

  Bachelor's degree, Mechanical Engineering

  2012 — 2016