Pradyumna Acharya

About

AI Product Leader and founder with 16 years of experience building and leading technology teams, from enterprise transformation at EY to founding Milago.ai and shipping AI SaaS products. Founded Milago Technologies Pvt Ltd and built an AI meeting-intelligence platform across web, mobile, and developer tools, including automated meeting ingestion, context extraction, governance, and monetization. As VP - Product Engineering at Mantrika.ai, leads engineering to ship end-to-end AI recruitment workflows including resume matching, AI avatar interviewing, human interview assistance, and automated offer processing.

Experience

• Founder · Milago Technologies Pvt Ltd (milago.ai)04-01-2026

  • Built a platform that auto-joins meetings across Zoom, Google Meet, and Teams and transforms conversations into structured tasks, knowledge bases, and actionable insights — eliminating manual note-taking entirely. • Designed an intelligent categorization engine that classifies meetings into 8 business contexts (Development, Design, Sales, HR, Finance, Learning, Brainstorm, General) and extracts context-specific deliverables. • Built a fault-tolerant media processing pipeline handling concurrent meeting recordings with automatic retry and recovery — zero manual intervention from upload to AI-generated insights. • Designed a complete monetization system — 5-tier subscription model with usage-based billing, automated invoicing, and integrated payment processing for the Indian market. • Published a developer tools package on npm enabling integration with 5+ AI coding assistants (Claude Code, Cursor) — positioning Milago as an ecosystem player, not just a standalone product. • Built enterprise-grade governance — admin panel with analytics, audit logs, feature flags, GDPR compliance (data export/deletion), and multi-organization management.

• VP - Product Engineering · Mantrika.ai06-01-2026

  • Led a 5-engineer team to ship an end-to-end AI recruitment platform that processed 8,000+ uploaded resumes — with ~40% of AI-flagged "Best fit" / "Stretched fit" candidates advancing to later interview rounds. • Defined the product's technical vision and AI strategy — chose the right models, designed the scoring algorithms, and established quality benchmarks for candidate matching accuracy. · Founded and launched Milago, building an AI-powered meeting-intelligence SaaS from the ground up and leading its product strategy, business model, architecture, and production rollout across web, mobile, and developer platforms. • Shipped an AI-driven JD-resume matching engine that scores and ranks candidates automatically, reducing initial screening time from hours to minutes for hiring teams. • Launched an AI Avatar Interview module — an autonomous virtual interviewer that conducts structured interviews and generates assessment reports, enabling 24/7 candidate screening without human availability constraints. • Built an AI-assisted Human Interview system — real-time suggested questions, automated scoring, and instant summary generation to standardize evaluation quality. • Designed an automated offer workflow connecting interview scores, panel feedback, and approval chains — cutting the time from final interview to offer dispatch. • Drove go-to-market as a technical co-leader — conducted product demos for prospective clients, led stakeholder presentations, and contributed to product positioning strategy.

• Project Director — AI Consulting · Xarpie Labs02-01-2025 – 03-01-2026

  • Directed AI consulting engagements end-to-end — translating ambiguous business problems into production-ready AI solutions with clear commercial models and delivery timelines. • Delivered a predictive bid intelligence system for a construction company — the solution analyzes incoming bid emails across multiple parameters and recommends which opportunities to pursue, improving bid win rates. • Designed an AI research assistant for a biomedical team — automating literature synthesis and accelerating the research-to-insight cycle that previously took weeks of manual review. • Owned the commercial side of each engagement — scoping, pricing, milestone planning, and client relationship management to ensure both profitability and client satisfaction.

• AI & Low-Code Consultant · Texnere02-01-2025 – 04-01-2025

  • Designed and delivered a demand tracking solution enabling the operations team to manage their entire pipeline with real-time visibility and automated workflows — replacing manual spreadsheet-based tracking. • Built leadership dashboards providing actionable visibility into demand trends, fulfillment rates, and resource allocation across teams.

• Assistant Director – Senior Manager · EY Global Delivery Service09-01-2022 – 01-01-2025

  • Led transformation program initiatives across service lines, driving a 15% increase in project efficiency through process automation and tooling improvements. • Built executive dashboards for senior leadership, improving data visibility by 30% and enabling faster, more informed decision-making across the organization. • Identified and consolidated duplicate projects being tracked independently, reducing administrative overhead by 20%. • Streamlined data collection across teams by implementing digital workflows, reducing manual errors by 25%. • Managed cross-functional coordination with legal, IT, finance, and risk management teams to drive regulatory compliance for transition initiatives.

• Assistant Director – Manager · EY Global Delivery Service10-01-2020 – 09-01-2022

  • Spearheaded enterprise-wide deployment of a resource scheduling tool across multiple regions, improving scheduling efficiency for a workforce of ~5,000 employees. • Owned end-to-end delivery of the Entrepreneurship Program — from concept and portal development to execution and award ceremony, driving employee engagement. • Led a Bench Management initiative that reduced resource idle time through proactive reallocation and real-time tracking dashboards. • Championed upskilling across the organization — conducted training sessions on automation tools and GenAI for cross-functional teams.

• Senior Technical Specialist · LTIMindtree07-01-2010 – 10-01-2020

  • Built and led the test automation practice — developed an automation framework and 250+ scripts that eliminated 2 days of manual regression testing per sprint, significantly improving release velocity. • Managed end-to-end client relationships — led standups, sprint retrospectives, and weekly client interactions while coordinating across BA, QA, and Dev teams. • Drove the shift from manual to automated testing, establishing CI/CD integration with automated notifications — setting the standard for testing practices across the project.

Education

• Dr JJ Magdum College of Engineering, KolhapurB.Tech/B.E., Electronics/Telecommunication

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