Shankar Binjawadgi

Spearheaded 0-to-1 development and launch of a Windows CLI client using WSL2 virtualization for Azure Blob NFS, unlocking a new Windows user segment and onboarding 150+ B2B customers. Packaged and distributed the module through PowerShell Gallery to improve discoverability, installation UX, and adoption for Windows users.

Built troubleshooting tooling to diagnose Azure Blob NFS issues, collect useful logs, and support faster root-cause analysis for users and Azure support workflows.

Architected an agentic AI hike researcher that automates real-time trail planning across six safety-critical dimensions, including weather, snow, road conditions, user history, and personalized filtering. Reduced weekly hike-planning time by 98% through staged research and recommendation workflows.

Built a GenAI music recommendation workflow in n8n for mood and occasion-based sub-playlist curation, using dynamic song-feature selection to improve recommendation relevance by 73% versus a rule-based baseline in project testing. Documented the product concept through a PRFAQ-style narrative and workflow design.

Discovered student wellness pain points through six customer interviews and synthesized unmet needs into a behavioral-psychology-informed fitness prototype. Built the initial product experience in three hours at the OpenAI Codex Hackathon to reduce pre-gym friction and improve habit follow-through.

Conducted a comprehensive GTM and sales audit of Asana across nine sales-motion dimensions, defining its Ideal Seller Profile and aligning PLG-to-SLG motions with the skills, traits, and enablement needed for stronger enterprise selling. Awarded 1st place for the most comprehensive GTM assessment.

Led an 11-member cross-functional team across design, engineering, and business to build HeyLily, a GenAI scam-call assistant for seniors and Hiya competitor. Ran 15+ user interviews, guided development of an Android call app, and shaped a 5-year B2B2C go-to-market model.

Launched and facilitated a Foster Tech Club product teardown series that helped students deconstruct world-class products, discuss product strategy, and build sharper product critique skills. Produced three events with 110+ attendees.

Proposed Roblox, a user-generated-content platform, as the acquirer for Shutterstock in the Foster Case Competition. Presented a $1.5B valuation and synergy analysis showing how Shutterstock assets could expand Roblox creator tools, content quality, and market share.

Developed a go-to-market strategy for Microsoft 365 Copilot to capture 1% of the U.S. university student market, modeling $2.9M in value over four years. Positioned Copilot as a Gen Z-facing AI productivity product through campus adoption, value messaging, and education-focused GTM tactics.

Produced four milestone reports on South Korea's gaming sector, covering market sizing, developer and publisher mapping, growth themes, and investment analysis. Turned the research into a prioritized outreach list of six targets to guide 2025 go-to-market planning.

Developed a structured consulting analysis for SBS, turning client context, market research, and strategic signals into prioritized recommendations, supporting rationale, and an executive-ready presentation.

Created event marketing assets, posters, and audience-facing messaging for Foster Tech Club programming, translating event goals into clear promotional content and registration flows.

Analyzed 100 one-star Bumble App Store reviews, root-caused the recurring 'no matches' problem, and proposed Bumble Barney, a GenAI wingman concept intended to decrease no-match outcomes by 10%. Won 2nd place in the February NextLeap Capstone project.

Designed wireframes for a Netflix social discovery concept, exploring how friend circles, onboarding, and recommendation flows could make content discovery more social and habit-forming.

Created a user persona and mapped Netflix's new-user onboarding journey to identify friction points, emotional states, and opportunities to improve activation, personalization, and first-session value. Published the journey map on Figma, where it received 650+ uses and 17+ likes.

Collected product design explorations in Figma, including journey maps, wireframes, and interface concepts that show product thinking across discovery, interaction design, and user experience.

Built a GenAI tool that transforms hand-drawn sketches into realistic images using Convolutional Neural Networks and Generative Adversarial Networks. Won 2nd place in the final-year project competition for applying computer vision and generative modeling to creative image generation.