I’m a Product and Project Manager with 6+ years of experience building and scaling EdTech and SaaS products across apps, LMS, and CMS ecosystems used by millions of learners. I’ve worked across 0→1 and 1→n product journeys, owning everything from problem discovery and strategy to execution and growth.
I have hands-on experience in user research, data analysis, growth strategy, requirement gathering, and stakeholder management while building both B2B and B2C products. I enjoy working closely with engineering, design, content, and business teams to translate complex user problems into clear, impactful product solutions.
I love solving user problems that create meaningful business impact and genuinely make users’ lives easier.
I help startups with product & project management, as well as growth strategy.
I solve real user problems by building products that make users’ lives easier and drive measurable business impact. I’ve led B2B and B2C products end-to-end across apps, LMS, CMS, and SaaS platforms, from discovery to delivery and growth.
I drive execution with strong planning, cross-functional coordination, and operational discipline. I manage timelines, risks, dependencies, and quality to ensure products ship on time, within scope, and with high standards.
I define product vision, roadmaps, and priorities grounded in user research, data insights, and business goals. I help teams and founders make clear trade-offs, identify high-impact opportunities, and build products that scale.
I build lean, outcome-focused MVPs to validate assumptions quickly. From problem framing to feature scoping and experimentation, I ensure we test the right ideas with real users before scaling.
I help EdTech organizations build strong academic foundations through curriculum design & development, content development, assessments, and learner engagement solutions aligned with business goals.
I design and ship AI-driven features for personalization, automation, and decision support — from learning chatbots to intelligent hiring systems — ensuring AI solves real problems and delivers measurable value.
I use data to guide decisions. I design dashboards and reporting systems that track engagement, performance, funnels, and outcomes using tools like Power BI, Tableau, Excel, and SQL to enable fast, informed decision-making.
I work closely with users to uncover real problems through interviews, behavioral analysis, and feedback loops. This helps teams build products that users actually want, use, and pay for.
Before getting into my work history and projects, I like to share how I approach product and project work at a high level. This section gives context on the areas where I do my best work and how I collaborate with teams to drive meaningful customer and business outcomes. Depending on the product stage and team needs, these are the areas I primarily focus on:
I work closely with teams to create clarity around goals, success metrics, and priorities. I focus on building alignment between user needs and business objectives, helping teams move from ideas to impact through structured thinking, data, and continuous iteration. My approach emphasizes sustainable growth, not short-term wins.
I develop product vision and strategy, ensure teams are solving the right problems, and translate those problems into clear, actionable requirements. I care deeply about execution quality and delivery, designing systems and processes that help teams ship consistently while learning fast.
I’ve worked on products from early concept and MVP stages to platforms serving millions of users. I enjoy the ambiguity of early-stage problem discovery as much as the discipline required to scale products, processes, and teams responsibly.
I act as a bridge between engineering, design, analytics, curriculum, and business teams. I help set up operating rhythms, review cycles, and decision frameworks so everyone has the context they need to move forward without friction.
I rely on a mix of qualitative and quantitative inputs to guide decisions. This includes user interviews, behavioral analysis, funnel metrics, dashboards, and experiments. I believe good product decisions come from combining user empathy with strong data discipline.
I design AI-powered features where they add real value like personalization, automation, and decision support, while staying grounded in usability, transparency, and measurable outcomes. My focus is always on solving real problems, not using AI for its own sake.