--- title: "Ankush Panday - Product Person(Heading Product) in New Delhi | Tal" description: "Meet Ankush Panday, Dangerously Obsessed with solving Broken Fintech Problem based in New Delhi. AI stack includes antigravity, claude code, and cursor. Explore public work links including github, medium, and leetcode." image: "https://tal.club/meet/ankush-panday/share-image" --- # Ankush Panday on Tal ## Headline Dangerously Obsessed with solving Broken Fintech Problem ## About Ankush Panday \| AI Product Manager \(GenAI & LLMs\) \| Growth & Fintech Enthusiast \| Mentor šŸ“© panday92005@gmail\.com Iā€™m a Product Manager with 4\+ years of experience building and scaling digital products used by millions, with a strong focus on Generative AI and Large Language Models\. I work at the intersection of user behavior, business outcomes, and emerging AI capabilities to build products that are both impactful and scalable\. Currently, I am focused on solving two high\-impact fintech problems, exploring how AI can improve accessibility, decision\-making, and trust in financial ecosystems\. My approach is deeply user\-centric and data\-driven, with an emphasis on rapid experimentation and iteration\. Previously, at The Future University, I led AI product initiatives as an AI Product Manager and Head of B2B Partnerships\. I built AI\-driven systems using Retrieval\-Augmented Generation \(RAG\) to deliver context\-aware and reliable outputs, fine\-tuned LLMs for domain\-specific use cases, and designed prompt architectures to enable scalable personalization\. Alongside this, I drove B2B growth by identifying and executing strategic partnerships\. As part of the founding team at LoyaltyBonus\.com, I helped build a Rewards\-as\-a\-Service \(RaaS\) platform from the ground up, focusing on scalability, retention systems, and long\-term engagement\. Across roles, Iā€™ve: ā€¢ Led products serving 5M\+ users, contributing ā‚¹16\.7 Cr\+ in revenue ā€¢ Tripled daily revenue at InstaAstro while significantly improving retention ā€¢ Scaled MAU to 500K\+ through product\-led growth initiatives ā€¢ Built systems capable of supporting 1M\+ users post\-launch I actively mentor aspiring product managers, with 200\+ mentees now working across leading tech companies\. My toolkit spans both product and AI execution: Product: Strategy, GTM, UX, Agile, Analytics AI: Generative AI, LLMs, RAG, Prompt Engineering, NLP, Fine\-Tuning Tools: Jira, Mixpanel, CleverTap, GA, Figma, Whimsical, n8n, Zapier, ElevenLabs, ChatGPT, Claude Iā€™m always open to conversations around AI, fintech, and building high\-impact products\. Letā€™s build something meaningful\. ## Location New Delhi ## AI stack antigravity claude code cursor elevenlabs opencode claudecode ## Work experience Product Person\(Heading Product\) at The Future University, Apr 2025 \- Nov 2025 Ā· 8 mos, Mohali district, Introduced 24X7 AI Stocks Analyser and Screener named superinvesting\.ai where user can use Top Investor personaā€™s\. Led a 47\-member cross\-functional team comprising engineering, design, data, marketing, and operations to spearhead end\-to\-end product development and accelerate growth initiatives\. Boosted revenue by 500% from 1 Cr to 5 Cr a month in Finance and 300% from 60 Lakhs to 2\.1 Cr in Astro Category\. Led biweekly customer research \(3\+ focus groups, 50\+ survey responses\) to validate productā€“market fit and shape user\-centric product experiences\. Managed product P&L, overseeing tech & design payroll, cloud/infra/DB costs, marketing spends \(Meta, Google, CRED, GPay\), hiring budgets, GST, and tracking expected vs actual ROI\. Visiting Faculty at KCC INSTITUTE OF TECHNOLOGY AND MANAGEMENT, Nov 2024 \- Apr 2025 Ā· 6 mos, Greater Noida, Data Structures And Career Coach Technical Product Manager at Policy\.Online Insurance Brokers Pvt\. Ltd\., May 2024 \- Apr 2025 Ā· 1 yr, Delhi, Led product strategy from wireframe to launch for www\.Policy\.Online, where we offered Two Wheeler Insurance, Private Car Insurance, Health Insurance Plans, Saral Jeevan Bima, Regular Term Plans, and Retirement Plans\. Drove growth in engagement, retention, and acquisition by analyzing 20\+ surveys, 10\+ interviews, and 1M\+ behavioral data points, launching targeted product improvements that increased retention by 25%, engagement by 20%, and user acquisition by 20%\. Engineered an LLM\-powered Insurance Copilot that transformed policy discovery, recommendation, and comparison; enabled AI\-assisted customer support and advisor workflows, while simultaneously establishing and scaling a 9\-member sales team\. Owned the end\-to\-end lifecycle for web and mobile, creating wireframes, PRDs, and BRDs while leading 8\+ major feature launches, improving usability by 25%, speeding delivery by 30%, and boosting feature adoption by 15%\. Product Manager at InstaAstro, Feb 2023 \- May 2024 Ā· 1 yr 4 mos, Noida, Uttar Pradesh, India, Utilize expertise in product analysis, management consulting, and user experience \(UX\) to drive the success of InstaAstro's AI\-driven product suite\. Collaborate with cross\-functional teams \(including data science and engineering\) to identify opportunities and gather requirements for AI/ML\-powered product development\. Conduct in\-depth market research, competitive analysis, and user feedback analysis to inform product strategies and roadmaps, focusing on leveraging data for personalization and predictive features\. Leverage wireframing and prototyping tools to create intuitive and user\-friendly interfaces for new features, including data visualizations and AI\-driven recommendations\. Work closely with operations management and MLOps teams to ensure seamless product implementation, model deployment, and continuous delivery\. Developed and executed product strategies for InstaAstroā€™s Astrology Consulting platform, utilizing data analytics to scale to 50 lakh users across apps and websites\. Tripled daily revenue from ā‚¹3\.86 lakh to ā‚¹15\.2 lakh within 1 year 3 months, partly by optimizing pricing and recommendation models\. Increased retention from 38% to 72\.4% and grew monthly active users to 5 lakh by implementing ML\-driven personalization and engagement features\. Addressed retention challenges by implementing agile methodologies, improving cross\-functional collaboration, and accelerating feature \(including model retraining\) delivery cycles by 30%, leading to a 20% increase in user retention\. Introduced data\-driven decision\-making and A/B testing frameworks for stakeholder management, utilizing analytics to optimize project timelines and aligning AI initiatives with business goals, resulting in a 15% reduction in project delays\. Launched InstaPass subscription and used data insights to optimize funnels, resulting in a 25% lower user acquisition cost, 30% higher revenue, and 40% more in\-app engagement\. Associate Product Manager Intern at IBC Media, Nov 2022 \- Feb 2023 Ā· 4 mos, Hyderabad, Telangana, India, As a Web3 Product Manager at IBC Media, I drive the development and launch of innovative web3 products that enhance the online experience for our customers\. Key responsibilities and achievements include: Lead cross\-functional teams in defining product strategies, conducting market research, and identifying opportunities for web3 product development\. Develop and manage product roadmaps, ensuring alignment with company goals, customer needs, and emerging industry trends\. Collaborate closely with engineering, design, and marketing teams to execute product development and launch plans\. Conduct user research and gather feedback to continuously enhance the user experience and drive product improvements\. Implement agile methodologies, enabling efficient product development and iterative improvements\. Stay up\-to\-date with the latest web3 technologies, industry trends, and competitive landscape to drive innovation and maintain a competitive edge\. Led the development of an end\-to\-end course on Ruby on Rails and Solidity, along with a recruitment system on the IBC Media website, resulting in a 30% increase in user enrollment\. Coordinated cross\-functional teams ī‚12 members\) and global stakeholders, including Polkadot, ensuring timely delivery of key initiatives and reducing project turnaround time by 25%\. Designed wireframes that improved product usability, enhancing the onboarding experience and increasing user engagement by 40%\. Organized a Polkadot Hackathon at IIT Delhi with 420 participants, leading to three teams securing ā‚¹20 lakh funding each, boosting developer engagement and ecosystem growth Product Management Intern at IBC Media, Aug 2022 \- Nov 2022 Ā· 4 mos, Remote, Founding team member responsible for identifying product\-market fit and creating go\-to\-market strategies for a mentorship platform\. Launched a college ambassador program across 18 colleges and onboarded industry professionals as mentors\. Partnered with 12 companies to provide job and internship listings\. Enhanced the UI of CareerBoat\.io, driving revenue growth to ā‚¹4 lakh per month\. Helped CareerBoat\.io get incubated by ISB Hyderabad and Stanford\. Led LinkedIn marketing efforts, achieving 10 lakh impressions through strategic content\. ## Education Entrepreneurship, Startup, Y Combinator Bachelor of Engineering \- BE, Computer Science, KCC INSTITUTE OF TECHNOLOGY AND MANAGEMENT ## Public links - github: https://github\.com/Ankushpanday1 - medium: https://medium\.com/@ankushpanday - leetcode: https://leetcode\.com/ankushpanday - productmanagementjob\.com: https://productmanagementjob\.com/ [View the original profile](https://tal.club/meet/ankush-panday) ```json { "@context": "https://schema.org", "@graph": [ { "@type": "Person", "@id": "https://tal.club/meet/ankush-panday#person", "name": "Ankush Panday", "url": "https://tal.club/meet/ankush-panday", "image": "https://tal.club/meet/ankush-panday/profile-photo.jpg", "description": "Meet Ankush Panday, Dangerously Obsessed with solving Broken Fintech Problem based in New Delhi. 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