Tahleel Ahmad Shaikh@tahleel

Echo reimagines online shopping as a conversational experience for blind and low-vision users. Instead of navigating visually dense product pages, users can simply speak to Echo to discover products, compare prices and ratings, ask how a product looks, add items to their cart, apply coupons, and complete checkout. Echo is designed around accessibility from the beginning, with voice interaction, screen-reader support, and minimal dependence on pointer-based navigation. Product appearance is represented through structured information such as colors, patterns, fit, sleeves, neckline, texture, and overall style, allowing the assistant to describe products without inventing visual details. Behind the conversation, Echo uses AssemblyAI for real-time voice interaction, an LLM with tool calling, and an Express + MongoDB backend that validates every shopping action. The AI can request an action, but the backend confirms whether it actually happened. Checkout also requires explicit user confirmation. The result is a shopping experience built around conversation rather than visual navigation — making discovery, decision-making, and purchasing accessible through a natural voice interaction.

RepoFlare: Eliminating Code Change Blind Spots via Deterministic Graph Intelligence 1. The Problem: High Friction in Code Review and Maintenance When developers modify code during maintenance, feature additions, or onboarding to a new project, understanding downstream impact across files, functions, and tests is high-friction and error-prone. Engineers either grep manually, guess, or rely on slow CI test runs to catch regressions. Conventional AI coding assistants suffer from a critical blind spot: they treat code repositories as unstructured text, re-reading or re-embedding entire codebases on every prompt. This approach is slow, costly, and produces unverifiable assertions without structural proof, leading to review fatigue, rework, and silent production defects. 2. The Solution: RepoFlare Knowledge Graph Engine RepoFlare transforms repository maintenance and code review by decoupling structural impact traversal from semantic reasoning. It builds and incrementally maintains a lightweight, local knowledge graph stored in DuckDB, parsing ASTs via Tree-Sitter to map files, functions, classes, imports, and tests as explicit nodes and edges. When evaluating a change (`git diff`), RepoFlare operates in two distinct phases: 1. Deterministic Impact Traversal (Zero AI Overhead): RepoFlare traverses the graph backwards in milliseconds to identify affected downstream symbols and unit tests. Operating 100% deterministically and offline, it categorizes impact into `DIRECT`, `INDIRECT`, `RELATED`, and `POSSIBLE` dependencies with zero API cost. 2. Grounded AI Explanation: For semantic reasoning, RepoFlare submits only a bounded, graph-selected context package to the LLM. Every claim in the response mandates explicit, line-level citations (e.g., `[utils.py#L1-L3]`), enabling reviewers to verify reasoning immediately rather than blindly trusting LLM output. 3. Prototype Built with IBM Bob 2.0 We leveraged IBM Bob 2.0 in Agent Mode to engineer two production-grade subsystems of our working prototype from architectural specifications: VS Code Extension Shell: Bob autonomously built the entire TypeScript extension layer (`rpc.ts`, `extension.ts`, `panel.ts`, `webview.ts`), implementing a JSON-RPC 2.0 stdio client that communicates seamlessly with our shared Python core, complete with an interactive SVG dependency graph renderer. DuckDB Response Caching Module: Bob engineered `cache/provider.py`, implementing content-hash-keyed result caching in DuckDB. Repeated queries on unchanged code hit the local cache instantly, eliminating redundant network calls and reducing LLM latency to zero. 4. Measurable Impact on Developer Workflows RepoFlare streamlines developer workflows across code review, onboarding, and application maintenance: Reduces Manual Effort & Rework: Converts multi-hour manual dependency tracing into a <10ms deterministic graph lookup, eliminating pre-merge blind spots. Dramatically Cuts API Cost & Latency: Bounded context packages and Bob’s caching module reduce LLM token consumption by over 80% compared to full-repo re-indexing. Zero-Trust Verification: Line-level citations remove ambiguity during code reviews, allowing developers to audit AI explanation claims in seconds. RepoFlare proves that pairing deterministic graph traversal with targeted AI reasoning creates a faster, cheaper, and fully verifiable workflow for modern software development

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🌎 Hybrid Hackathon | 💻 Online Build: 3–8 November 2026 | On-site Phase: 8 November 2026 📍 On-site Venue: Pierpont Place 163 W Pierpont Ave, Salt Lake City, UT 84101, USA ✨ Please note that travel and accommodation are not covered.

🌎 Hybrid Hackathon | 💻 Online Build: October 16–19, 2026 | 📍 On-site: October 19–20, 2026 The official hackathon of AI & Big Data Expo Europe, organized by TechEx Events and lablab.ai. Build AI applications and agents across AI, cybersecurity, cloud, IoT, automation, edge computing, digital transformation, and data infrastructure, then showcase your project live at one of Europe's largest enterprise technology events. 📍 On-site Venue (October 19–20): RAI Amsterdam Europaplein 24, 1078 GZ Amsterdam, Netherlands 📍 If approved for the on-site experience, you'll also have the opportunity to showcase your project live. Travel and accommodation will not be covered.

🌎 Hybrid Hackathon | 💻 Online Build: 12-17 October 2026 | On-site phase: 17-18 October 2026 To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. The AMD Developer Hackathon: ACT III is a hands-on event for developers, founders, engineers and builders who want to push what’s possible with AI on real infrastructure. 📍 If approved for the on-site experience, you'll also have the opportunity to showcase your project live. Travel and accommodation will not be covered.

🌎 Online Hackathon | 💻 Online Build: Sept 26 - Oct 5, 2026 A virtual, global hackathon. Build from anywhere in the world. Dark Factory is the official hackathon of WeAreDevelopers World Congress North America, presented by BAND, but you don't need to be in San Jose to take part. For one week, you build a software factory in BAND Desktop: a band of coding agents that plans work, implements it and checks its own results. 🎟️ Bonus for sign-ups: you are eligible for a free ticket to WeAreDevelopers World Congress North America in San Jose (Sep 23–25). If you do go, stop by the BAND booth: a surprise is waiting for you.