Clicky.foo
A flagship product surface for exploring Clicky - an offline AI assistant direction built around privacy, local vision-language intelligence, and fast user workflows. This is a product, not this portfolio.
I am Shashank Kumar Singh, a CS undergrad and applied AI builder designing local-first assistants, agent pipelines, and product-grade interfaces with a futuristic developer soul.
The site moves like a story: boot sequence, AI logs, deployment pulses, magnetic cards, and scroll-triggered reveals tuned to stay smooth on real devices.
I like interfaces that feel alive and systems that actually run. The stack leans practical: Python, async workflows, local LLMs, VLMs, FastAPI, Electron, PostgreSQL, Supabase, Git, and web motion.
Clicky.foo is highlighted as a project/product to explore. The links page is separate, so visitors can also jump into the full Shashank link hub when they want the map.
A flagship product surface for exploring Clicky - an offline AI assistant direction built around privacy, local vision-language intelligence, and fast user workflows. This is a product, not this portfolio.
Offline Windows AI assistant using local models, screen understanding, speech I/O, and a Python sidecar designed for privacy-sensitive desktop automation.
Cognitive-bias evaluation engine for LLM outputs and automated decision-making, shaped for compliance-minded AI workflows and structured prompt validation.
Retail inventory system built for real workflows: ACID-compliant schemas, low-latency search, dashboard data entry, and local-first operational reliability.
Hackathon GenUI experiment that turns model output into adaptive interface states, exploring what AI-native frontends can feel like when UI is generated in motion.
Worked on AI detection pipelines, inference bottlenecks, and internal LLM tooling for automated data analysis workflows.
Automated backend data workflows, refactored legacy modules, and added error handling to reduce repetitive manual processing.
Built C utilities with manual memory management, pointer arithmetic, and core data structures under time and space complexity targets.
Reach me by email, explore GitHub, or open the dedicated links page for the full map of my work.
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