Hello, I'm
Rahul
Product Manager | Bridging Tech & Business
Former Software Developer passionate about building user-centered products that solve real-world problems.
I focus on creating engaging and visually appealing digital products by combining technical knowledge with product strategy and user-centered design.
About Me
I began my career as a software developer, where I learned how great products are built from the ground up. Over time, I became passionate about not just how products are made, but why they’re made — leading me toward product management.
Today, I use my technical foundation to bridge communication between engineering, design, and business teams, helping deliver meaningful and scalable user experiences.
From Developer to Product Manager
My technical background allows me to bridge the gap between business goals and engineering realities. I understand how to translate customer insights into actionable product decisions, ensuring alignment across teams and successful product delivery.
Product Case Studies
Peggy: The Deadpool Meme Coin
- Context: Led the product experience for a meme coin targeting mass-market crypto users, focusing on fun branding and frictionless onboarding.
- Problem: The initial buy flow required two separate on-chain transactions, causing a 42% drop-off before purchase completion.
- Action: Analyzed funnel data from 1,500+ users, identified friction points, and collaborated with blockchain engineers to redesign the smart contract for a single-step purchase flow.
- Result: Improved overall conversion rate by 22%, reduced gas fee overhead by ~18%, and increased first-time purchase completion by 30%. User satisfaction scores (CSAT) improved from 3.8 to 4.6.
- Tools: Next.js, Web3.js, Solidity, Ethers.js
ML-Powered Music Analysis Platform
- Context: Developing an ML-driven platform enabling musicians and creators to instantly analyze patterns and trends across audio tracks.
- Problem: Manual pattern recognition took 15–25 minutes per song, leading to inconsistent insights and delayed creative decision-making.
- Action: Defined product requirements, mapped workflows for 3 core user personas, and worked with ML engineers to build a multi-step inference pipeline with real-time visualization.
- Result: Reduced analysis time by 70% (from 20 min to <6 min), improved insight accuracy by 40%, and increased daily active usage by 25% after dashboard launch.
- Tools: Python, Machine Learning Pipelines, Data Visualization
Personalized E-Learning Application
- Context: Designing an e-learning app for students to discover courses, track learning progress, and stay motivated.
- Problem: Lack of personalization led to a 55% drop-off after onboarding and low course engagement rates.
- Action: Interviewed 20+ students, identified key learning barriers, and designed new flows with personalized recommendations and progress dashboards. Coordinated engineering effort to add streaks, level badges, and smart reminders.
- Result: Increased user engagement by 32%, doubled signup-to-active conversion (12% → 25%), and boosted course completion rates by 18%.
- Tools: Figma, Firebase, Next.js
Data Analytics & KPI Dashboard
- Context: Helping mid-sized businesses transform raw data into actionable insights for faster decision-making.
- Problem: Non-technical teams relied on manual weekly reports, taking 4–6 hours each time, delaying decisions and causing data bottlenecks.
- Action: Built interactive dashboards with real-time KPIs, automated reporting, and configurable alerts. Collaborated with 4 cross-functional teams to ensure dashboard fit their actual workflows.
- Result: Cut reporting time by 50%, increased usage by business teams by 60%, and reduced decision turnaround time from days to hours.
- Tools: Power BI, React, Python
ML-Based Business KPI Prediction System
- Context: Helping product and growth teams forecast KPIs to enable faster, proactive decision-making.
- Problem: Stakeholders relied on historical data, leading to late product adjustments and inaccurate planning.
- Action: Partnered with data scientists to build a predictive model with 85% accuracy and designed an intuitive UI showing forecasts, confidence intervals, and recommended actions.
- Result: Reduced planning delays by 40%, shortened iteration cycles by 25%, and improved product success rates by 15% through proactive roadmap adjustments.
- Tools: TensorFlow, Python, React
Skills & Competencies
Product management and technical expertise for end-to-end product building.
Product Management Skills
Technical Skills
Additional Skills
My Projects
Some of my recent work and case studies
Peggy The Deadpool Coin
A Web3 meme coin project integrating blockchain technology with community engagement. Built tokenomics, designed the website, and contributed to marketing strategies.
- Context: Launched a meme coin on Web3 with a focus on fun brand and simple onboarding.
- Problem: Initial buy flow required users to perform two separate on-chain transactions—one for gas and one for receiving tokens—causing friction and drop-offs.
- Action: Analyzed user drop-off, worked with blockchain engineers to re-architect smart contract logic, enabling a consolidated one-step purchase flow.
- Result: Reduced user effort and fees. Conversion rate improved by over 20%. User feedback praised the seamless single-click buy experience.
- Tools: Next.js, Web3.js, Solidity, Ethers.js
Music Analysis
An AI-powered music analysis tool that identifies song patterns, beats, and genre predictions using Python and visualization libraries.
- Context: Developing an ML-powered platform for in-depth music analysis.
- Problem: Manual pattern recognition was slow and subjective.
- Action: Architected a multi-step ML pipeline and interactive dashboard for instant insights.
- Result: Reduced analysis time by 70%, enabling data-driven music decisions.
- Tools: Python, ML Libraries, Data Viz
E-Learning App
A responsive and modern e-learning platform built using Next.js, enabling users to access courses, track progress, and engage interactively.
- Context: Users needed a way to find, track, and engage with online learning.
- Problem: Existing solutions lacked personalization and visibility into progress.
- Action: Researched user needs, prototyped new flows, and engineered tracking & feedback features.
- Result: Improved user engagement by 30% and doubled signup conversion rates.
- Tools: Figma, Firebase, Next.js
Data Analytics Dashboard
Interactive dashboard for visualizing complex business metrics and KPIs with real-time updates.
- Context: Businesses lacked quick visual insights for KPIs.
- Problem: Non-technical teams struggled interpreting raw numbers.
- Action: Designed and developed interactive dashboards with automated metrics and alerts.
- Result: Accelerated business decision-making and reduced weekly reporting overhead.
- Tools: Power BI, React, Python
ML Prediction System
Machine learning model for predictive analytics and forecasting using advanced algorithms.
- Context: Forecasting business KPIs for proactive product improvement.
- Problem: Stakeholders relied on lagging metrics and gut intuition.
- Action: Developed a predictive ML engine and made results accessible via simple UI.
- Result: Enabled teams to pivot early and increase product success rates, shortening feedback loops.
- Tools: TensorFlow, Python, React
Work Experience
My professional journey and product-building experience
Software Developer / Management (AI & Web Platforms)
StarX AI Technology
đź“Ť New Delhi
Driving product strategy and execution for AI-driven web initiatives. Partnering with engineering, design, and AI research teams to deliver scalable and user-centric solutions.
Key Achievements:
Product Management Intern (MERN Ecosystem)
KSBM Info Tech
đź“Ť Noida
Supported the product team in building scalable platforms such as LozerWin and Astro Platform by translating business needs into actionable product requirements.
Key Achievements:
AI Chatbot & Web3 Product Builder
Independent Projects
đź“Ť Remote
Building end-to-end product experiences in AI and Web3 with a focus on problem solving, usability, and validating real-world user needs.
Key Achievements:
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Get in Touch
Feel free to reach out to me through any of these channels. I'm always open to discussing new projects and opportunities.