_{Multi-vendor food delivery · Production launch}

Hyper-local food ordering platform for college campuses, co-founded and shipped end to end.

• Scaled to 500+ active users and 1,000+ weekly transactions at a 98%+ transaction success rate
• Built an offline-first AsyncStorage queue with FIFO semaphore locking and idempotent transaction keys, so drivers keep working through campus network dead zones without duplicate state
• Cut checkout queue time by ~50% using two-step Stripe authorization and capture, backed by a normalized Redux store for granular re-rendering

_{Government deployment · Live on Google Play}

Transit tracking app built with the Telangana State Road Transport Corporation for one of India's largest religious gatherings.

• Served 15,000+ daily commuters across a four-day festival; 5k+ downloads on Google Play, officially recognized by the State Transport Corporation
• Applied a 2dsphere geospatial index with MongoDB $near queries to return only buses and stops within a 5km radius, cutting payload size and client render overhead
• Introduced Redis geospatial sorted sets between the API and MongoDB for sub-millisecond reads under peak load, with a background worker flushing telemetry to disk

➡️ View on Google Play

_{Full-stack SaaS · Frontend + backend repos}

URL shortening platform with link management, custom redirect logic, and an analytics dashboard.

• Served 1,000+ shortened links and 5,000+ clicks at sub-250ms redirect response times
• Sustained 200+ concurrent requests under load testing without degradation
• Held 80%+ test coverage across the API surface, cutting bugs by ~30% during development

➡️ Frontend · Backend

_{Multi-tenant SaaS · Embeddable widget}

Feedback collection platform teams drop into any site with a single script tag.

• Improved API response times by ~25% through compound indexes on a multi-tenant MongoDB schema, and cut code duplication by 30%
• Isolated the widget inside a Shadow DOM and excluded React from that build, keeping the embedded bundle under 30KB so host-site Core Web Vitals stay intact
• Added dynamic per-domain CORS validation plus a Redis sliding-window rate limiter to block unauthorized embeds and traffic spikes

_{Agentic automation · Deterministic replay}

An LLM discovers how to complete a task in a hostile legacy web app once; that run is replayed in production with no model in the loop.

• Records each discovery run as a typed, versioned artifact validated by a Zod schema, then replays it deterministically and returns a structured success / known-business-outcome / failure result
• Perceives pages through the accessibility tree rather than screenshots or coordinates, resolving elements in an app with no test IDs, no real buttons, and iframe-nested content
• Enforces a domain allowlist, risk classification, and non-retryable steps with human escalation on the live session; credentials never enter the model loop or the saved artifact

➡️ View Repo

_{AI SaaS · Structured generation}

Turns a plain-text project goal into a validated, dependency-aware task roadmap.

• Enforces a strict JSON schema in-prompt and validates with Pydantic, auto-retrying with the error trace appended so the client only ever receives structured data
• Rejects circular dependencies through DAG validation before anything is committed to PostgreSQL
• Traverses the full task graph using recursive CTEs in a single round trip, eliminating the N+1 problem and cutting read latency by 75% on large projects

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_{LLM pipeline · Benchmarked and tested}

Scrapes and clusters posts, detects trends, and drafts content into Notion for human review. It never auto-posts.

• Measured 94.2% topic-cluster precision across 500 labeled tweets and 95.6% hook-pattern detection accuracy
• Generates three drafts in 2.1s average / 3.4s P95, syncing 25 Notion pages in 0.82s at under $0.03 per full pipeline run
• Ships log redaction, secret scanning in both pre-commit hooks and CI, and a hermetic pytest suite that runs with no live API credentials

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_{AI Kanban · Human-in-the-loop}

Generative planning board that breaks project goals into prioritized, editable tasks.

• Generated 35 tasks across 5 projects at 2.50s average roadmap generation with 100% JSON parse accuracy
• Validates every AI response against typed interfaces server-side before insert, so malformed output never corrupts project state
• Enforces organization-scoped RBAC in Next.js edge middleware, with optimistic UI that rolls back automatically when a mutation fails

➡️ View Repo