Ayush Singh

An AI-powered operating system for freelancers, built from the first product decision through to paying users.

• Generates personalized proposals from job descriptions and combines a visual pipeline, revenue analytics, and automated follow-up reminders across Upwork, Fiverr, and direct clients.
• Solo-built the frontend, backend, and AI layer; implemented secure Razorpay Starter/Pro billing with webhook-driven activation; launched on Product Hunt with active early-access users.

A serverless marketing-intelligence platform powered by four autonomous Amazon Nova Act agents.

• Four agents - Competitor Scout, Review Guardian, Mention Tracker, and Opportunity Hunter - run overnight to replace a $5,000/month agency workflow.
• A fully serverless Lambda, S3, SNS, and EventBridge backend uses Nova 2 Lite to synthesize and email a weekly intelligence report; submitted to Amazon Nova AI Hackathon 2026.

A LinkedIn network manager that drafts outreach, triages requests, and answers questions about professional connections.

• Drafts and queues outreach, triages incoming connection requests, and stages every external action for explicit approval before sending.
• Includes a natural-language network query interface for questions such as finding top supply-chain contacts and targeted prospects.

A deployed real-estate platform with a custom CMS for non-technical listing management.

• A custom Admin CMS lets non-technical staff manage the complete listing catalogue without writing code.
• Deployed with PostgreSQL persistence, JWT authentication, route-level API protection, and a complete operational admin workflow.

Diagnosed and fixed a long-standing property-wrapper diagnostic bug in the Swift compiler.

• The change passed multi-round core review and became the base for follow-up work by a Swift core member.
• Implemented the new diagnostic in TypeCheckPropertyWrapper.cpp and added a complete regression suite for bug #54422.

Eliminated native stack-overflow crashes in the Boa VM by enforcing a host call-depth limit.

• Removed a crash class with zero measured performance regression in A/B benchmarks.
• The broader work also extended boa_gc parity and hardened CI with warnings-as-errors and nightly Miri checks.

Fixed Jenkins Core UTF-8 redirects and patched logging, persistence, storage, and prompt failures across its AI plugin.

• Security documentation was approved by three maintainers and led directly to a confirmed production vulnerability report.
• The work includes core PR #26331 plus six plugin changes covering payload redaction and reliable session recovery.

Shipped sleep/wake detection and fixed usage, diagnostics, dependency, and CI failures across Windows and Linux.

• Improved reliability in an 18k-star Rust and Tauri project across multiple platform boundaries.
• Merged work covers platform behavior, false usage-limit errors, inflated counts, and noisy capture warnings.

Built multi-provider AI annotations for Jinja templates, a Trino connector, and release metadata infrastructure.

• Expanded a production developer tool across AI workflows, data connectivity, and release reliability.
• Contributions include prompt(), ai_summary, provider coverage, integration tests, and Docker build metadata.

A forged future-round message could pin candidate lifetime through duplicate replay and drive unbounded memory growth.

• Contest judges officially confirmed the consensus-layer denial-of-service finding.
• The vulnerable validator-session round-change path lacked a deduplication guard for the replayed message.

A Byzantine validator could exploit downloadCandidate RPC to force redundant downloads each round.

• Contest judges officially confirmed the response-amplification finding.
• The RPC path lacked sufficient per-peer throttling or deduplication, enabling O(n) redundant work.

Work across type checking, diagnostics, VM limits, garbage collection, and undefined-behavior detection.

• Connects user-facing correctness to the internal invariants that keep language implementations reliable.
• Demonstrated through merged Swift and Boa work rather than isolated tutorial projects.

Systems grounding in Raft consensus, Write-Ahead Logs, TLV protocols, and failure-oriented design.

• Provides the mental model behind production incident ownership and validator-consensus security research.
• Applied across ERP reliability work, validator research, and systems-oriented open source.

A digital Pokédex and battle arena for exploring Pokémon TCG cards, trainers, and the Regional Cup.

• Explored how discovery, collection browsing, and game-like interaction can live in one playful interface.
• The public deployment includes Pokémon card discovery, trainer content, and an interactive battle-oriented experience.

An audio-processing playground for applying immersive 4D, 8D, and 11D spatial effects.

• Turned spatial-audio concepts into a browser experience where visitors can directly experiment with sound movement.
• The public application exposes an interactive audio workflow focused on immersive spatial processing.

A creative AI prototype that turns a visitor's mood into an anime-oriented visual experience.

• Explored a lightweight emotion-to-visual interaction instead of a conventional form-driven AI interface.
• The public deployment presents mood-led anime and manga discovery through an interactive visual experience.