Product Manager Crafting Data-Driven Solutions
I'm a product manager who bridges the gap between deep technical complexity and clear business outcomes. My journey began in software engineering, architecting high-performance FinTech systems, which gave me a firsthand understanding of what it takes to build scalable products. Today, I channel that technical foundation to lead product strategy, turning user needs into data-driven solutions that have grown user bases from zero to over 500 paying customers.
From Architecting Systems to Architecting Solutions
Hello! I'm Devank. My journey into product management wasn't a coincidence—it was a deliberate next step. I started my career as a software engineer, building and scaling the complex backend systems that power FinTech platforms. That experience taught me a critical lesson: the most elegant code is meaningless if it doesn't solve a real human problem. This realization became my "why" for moving into product.
Today, as a Product Manager and recent NYU graduate, I bridge the gap between technical feasibility and strategic vision. I leverage my deep understanding of system architecture to ask the right questions, accurately scope projects, and foster credible collaboration with engineering teams. I'm passionate about diving into user data, uncovering latent needs, and building products that are not only functional but foundational to a business's success.
This analytical approach is balanced by my cultural roots in India, where I embraced 'Jugaad'—a mindset of resilient, frugal innovation. It's about finding creative solutions in any environment, a skill I apply to building empathetic, user-centric products for a global audience.
My Product Philosophy
Start with Empathy
Every great product begins with a relentless curiosity about the user's true needs. By deeply understanding the 'why', we build solutions that deliver meaningful and lasting value.
Data as an Ally
I see data as a powerful partner. It provides the map and the compass, while our user empathy and strategic vision help us chart the most impactful course forward.
Iterate with Purpose
I believe in the power of momentum. By shipping, learning, and iterating quickly, we deliver value to users sooner and build better products through continuous feedback.
My Journey
Product Manager, Generative AI
In this role, I drove the product from concept to product-market fit, owning the end-to-end process in a lean startup environment.
- Drove product strategy and roadmap for an AI communication platform from inception to 500+ paying customers in a fast-paced startup environment.
- Owned the complete product lifecycle from customer discovery to launch, working closely with the engineering co-founder to ship core features like WhatsApp integration and a conversational chatbot.
- Shaped product vision and execution, balancing customer needs with technical constraints to achieve product-market fit while handling customer success and go-to-market initiatives.
Product Manager
Here, I transitioned into a full product ownership role, leading strategy for a large-scale FinTech platform and driving significant revenue and engagement growth.
- Drove product strategy for an enterprise financial platform serving 100K+ users, resulting in 25% revenue growth and a 40% increase in user engagement.
- Led a cross-functional team to modernize a legacy system into a microservices architecture, expanding the addressable market by 35% and reducing technical debt by 50%.
- Pioneered AI/ML initiatives, including predictive analytics for investment recommendations, improving customer satisfaction scores by 30%.
- Collaborated with C-suite stakeholders to align the product roadmap with business OKRs, resulting in the successful launch of two new product lines worth $2M ARR.
Software Engineer
This role was my foundation in building scalable systems and discovering my passion for bridging technical and business objectives.
- Architected a high-performance transaction system handling over 1M TPS, giving me a deep understanding of the scalability challenges that inform my product decisions today.
- Resolved 300+ customer-reported bugs by implementing analytics-driven prioritization, increasing customer satisfaction by 12% and learning the importance of user feedback loops.
- Collaborated directly with product managers on feature requirements, discovering my passion for translating technical possibilities into business value.
- Led technical discussions with stakeholders to scope feasibility, developing the cross-functional communication skills essential for a PM role.
Education & Coursework
NYU Master of Science in Information Systems
A master's program combining computer science from the Courant Institute and business courses from the Stern School of Business, designed to build leaders at the intersection of technology and business strategy.
Technical Foundation for Product Leadership
- Data Science & Big Data Analytics: Applied ML models to predict user behavior and optimize product features.
- Real-time Big Data Analytics: Analyzed streaming data for product metrics and user engagement tracking.
- Data Visualization: Created dashboards for stakeholder reporting and data-driven decision making.
- Core Technical Competencies: Strong foundation in Algorithms, Data Structures, & Networks for technical discussions.
Business & Strategy Focus
- Digital Strategy: Developed go-to-market strategies and performed competitive analysis for tech products.
- DevOps and Agile Methodologies: Practiced sprint planning and cross-functional team collaboration.
- Big Data Application Development: Gained hands-on experience building with modern tech stacks.
My Skillset
Product & Strategy
Technical & Tools
My Projects
A selection of work I'm proud of.
Health Data Integration for AppEase
Built an end-to-end data pipeline for a clinical monitoring app, creating a React-based dashboard to visualize key health metrics for clinicians.
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LLM Ensemble Framework
Developed an ensemble framework improving generative AI response quality by 35% and reducing hallucinations by 20% using a Mixture of Agents & Consensus method.
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NYC Taxi Predictive Analytics
Owned the 0-to-1 product development of a predictive analytics platform to help NYC taxis compete with ride-sharing, featuring dynamic pricing and demand forecasting.
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E-commerce Microservice
Led the development of a cloud-native inventory management microservice to decouple product data from a monolith, enabling real-time stock updates and improving resilience.
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