Professional idea-to-reality translator. 2+ years building across gaming, logistics, and SaaS. I live for the messy middle between vision and launch. Customer obsession included.
Career Track = SDE → PM(SaaS) + Founder's Office → PM (Marketplace) → Solo PM (Generalist) → PM (AI/Gaming) → Growth PM
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Resume
-Product Sense-
Developed a project plan for generating ~INR 15M in additional annual revenue for Swiggy by enabling as-low-as 15 daily online orders per restaurant in tier-3 cities.
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Designed a product plan for a study-abroad recommendation engine in a 4.37% CAGR market, unlocking revenue potential via subscriptions and partnerships.
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Analyzed stagnant user engagement on Shipyaari’s mobile app (Q4 FY 2022–23) by mapping core user activities and evaluating the app’s value proposition for shippers and customers.
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Conducted a detailed teardown of the Meesho mobile app to evaluate its UI/UX across the end-to-end user journey, from homepage to checkout. The goal was to identify friction points, assess feature effectiveness, and propose actionable design and experience improvements to better meet user needs.
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-Algorithms/Dev-
Studied fake news propagation by modelling it with an extended SEIRMZ epidemic framework, accounting for dynamic, linearly growing populations to understand how misinformation spreads across different compartments.
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Designed and developed the MVP (App) for an Intelligent Transportation System (ITS) used in smart city mobility solutions, including a detailed bill of materials, system modelling, and rigorous validation testing.
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Built and open-sourced a Chrome extension (Aug 2024) that lets users seamlessly insert product framework outlines into Google Docs. Integrated a Tally form via iframe for waitlist sign-ups, with data persisted using browser cookies.
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Worked on signal classification in ionospheric research by parallelizing Stochastic Gradient Descent (SGD) using OpenMP and MPI. Optimized gradient estimation and decision variable updates across observations, achieving measurable speed-up and reduced execution time.
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Implemented xAPI’s Query API to enable seamless retrieval and transfer of learning statements between Learning Record Stores (LRSs) as part of an integration project to centralise learner activity data.
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-Coursework-
Worked on practical exercises involving rendering of basic shapes, transformations, and interactive input handling. Explored how user input from devices like a mouse or keyboard influences graphical output.
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Completed assignments on instruction set design, addressing modes, and memory hierarchy. Gained hands-on experience with CPU pipeline simulation and studied the interaction between hardware components and low-level software through lab-based experiments and simulations.
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Performed lab work on process scheduling, memory management, and inter-process communication. Implemented small-scale simulations to understand how multiprocessing and multithreading improve system responsiveness and resource utilization.
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