Anurag MN Product Manager • Senior Product Manager • AI PM
AI-native product builder • data-driven • cross-functional

Building products where AI, business, and user experience meet.

I am a Product Manager at MakeMyTrip with experience across pricing, funnel optimization, and generative AI. I work on high-impact products that improve revenue, customer experience, and operating efficiency at scale. I am especially interested in AI PM roles, platform thinking, and agentic workflows that turn strategy into measurable outcomes.

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About

I build products by combining customer empathy, systems thinking, and strong execution. At MakeMyTrip, I have worked on data-driven initiatives spanning competitive pricing, funnel performance, rule governance, and generative AI. My background includes a PGDM from SPJIMR and an engineering foundation from Huawei, which helps me work comfortably across business, design, data science, engineering, and operations.

Featured AI Product Case Studies

A deeper look into product strategy, AI architecture, experimentation, evaluation and business impact.

🚀 PA Copilot

Enterprise Agentic AI | Google ADK | MCP | AI Evaluation Framework

  • Problem: Analysts navigated 30+ tools for pricing investigations.
  • Built enterprise AI Copilot using Google ADK + MCP.
  • Designed production AI evaluation framework.
  • Impact: ~70% manual effort reduction, 1.7× analyst productivity.

📈 AI-powered Pricing Intelligence

Machine Learning | XGBoost

  • ML-driven pricing recommendations.
  • Demand & booking propensity estimation.
  • 1.7× analyst productivity.

🎓 EduAI

Consumer AI | Voice AI | OCR | Personalized Learning

  • AI Tutor
  • OCR Question Solver
  • ML Kit Voice AI
  • English & Kannada
  • 150+ Interactive Simulations
▶ MVP Demo📱 Live App🚀 AI Tutor🎥 Pitch Deck

🖼️ Deep Learning Hotel Mapping

Computer Vision | Deep Learning

  • 30,000+ hotel properties
  • Target accuracy improvement ~40% → 80%+
  • Reduced manual mapping effort

How I Build with AI

Over the past few months, my approach to product development has shifted from primarily documenting ideas to actively building and testing them.

Using AI tools like Cursor, I’ve moved earlier into the product lifecycle — prototyping concepts, validating assumptions, and exploring edge cases before formalizing requirements.

  • 62% — Rapid prototyping and experimentation
  • 19% — Automation scripts and tooling
  • 17% — Exploring approaches and problem spaces

This shift has enabled me to move ideas from concept to working prototype within hours, significantly reducing ambiguity before engineering involvement.

Product Simulations AI Prototypes Internal Tools Rapid Experimentation

Featured Work

Flywheel Pricing Platform

Platform PM • Data • AI Systems

Built and scaled a pricing intelligence platform driving decisions across 60,000+ hotels.

Core Impact

  • Improved pricing signal quality by 33%
  • Enabled 300K+ SKU-level analytics
  • Transitioned systems toward predictive intelligence

AI / Deep Learning Initiative

  • Led image-to-property matching across 30K+ listings (baseline ~34% accuracy)
  • Built multi-model system (ResNet, VGG, Inception, EfficientNet)
  • Used embeddings + cosine similarity with Top-K matching
  • Introduced ensemble validation for robustness
  • Achieved 90%+ accuracy → enabled large-scale automation
View Demo

Agentic AI Tutor

Side Project • AI Tutor

Explored whether LLMs can replicate real teaching behavior by designing and evaluating AI tutor systems using NCERT-aligned content.

Core Approach

  • Compared Generic LLMs, RAG pipelines, and fine-tuned models
  • Fine-tuned LLaMA-3 and Gemma-7B using QLoRA on Socratic-style dialogues
  • Focused on conceptual clarity, interactivity, and learning flow

Key Results

  • Concept depth: 8.88 / 10
  • Interactivity: 8.26 / 10
  • Overall score: 8.11 vs 6.35 (RAG baseline)
  • ~50% reduction in response variance
View Research
LLM Fine-tuning QLoRA Socratic Learning AI in Education

Experience

Jan 2024 – Present

Product Manager (Data and AI/ML)

MakeMyTrip, Bengaluru

  • Lead product work across AI-native pricing, experimentation, and automation.
  • External validation: Economic Times Case Study • Autocar Article
  • Work with DS, Engineering, MLOps, Revenue, and Finance to ship scalable systems.
  • Drive simulation-based validation, replay testing, and continuous improvement loops.
Apr 2022 – Dec 2023

Associate Product Manager

MakeMyTrip, Bengaluru

  • Scaled dynamic discounting coverage and improved pricing leverage with data-led guardrails.
  • Improved conversion and search visibility through pricing intelligence and funnel optimizations.
  • Standardized property data quality at scale to improve trust and bookability.
Apr 2018 – May 2019

Associate Software Developer

Huawei, Bengaluru

  • Worked on large-scale mobile software customization and engineering productivity improvements.
  • Collaborated across teams to reduce downtime and improve delivery quality.

Skills

Product Strategy AI Product Management Data Analysis Agile Design Thinking Leadership Wireframing Statistics Python SQL Data Science MLOps Collaboration Experimentation Guardrail Design Revenue Products

Leadership & Achievements

  • Leadership Coach, LandmarkWorldwide — One of the youngest Introduction Leaders in South India
  • Cricket Winner (2026) — Redbus League
  • Chess Champion — MakeMyTrip; State-level chess player
  • National Level Project Competition (2016) — Led a team of 4 to secure 3rd prize
  • 10K Marathon Runner

Education

PGDM

S.P. Jain Institute of Management & Research, Mumbai

Jul 2020 – Mar 2022

Global finalist, GSIC; won seed funding for an ed-tech innovation.

B.E. in Computer Science

Bangalore Institute of Technology

Sep 2012 – Jul 2016

Contact

Email: mail2anuragmn@gmail.com

LinkedIn: linkedin.com/in/anurag-mn

GitHub: github.com/ANURAGMN

Location: Bengaluru, India