Shyam Khokhariya

PepsiCo MiNegocio+ is PepsiCo's global B2B commerce platform for traditional-trade distributors, live across 8 markets in Latin America, Europe, and the Middle East. My work centered on performance, memory, and platform-specific debugging on the shared React Native codebase, alongside front-end delivery.

Key contributions:
• Resolved a critical duplicate-order-submission bug caused by dual-reconciliation between Redux Persist and WatermelonDB on reconnect, restructuring so WatermelonDB exclusively owned pending transaction state.
• Fixed reward-point duplication on offline sync via UUID-based idempotency keys with server-side deduplication, in coordination with the back-end team.
• Eliminated catalog jank on 10,000+ SKU screens by migrating to FlashList with memoized selectors and extracting frequently-changing UI into smaller memoized components.
• Diagnosed a production memory leak from stacked navigation listeners via AppDynamics and the Android Studio Memory Profiler, fixing it by enforcing cleanup on every navigation useEffect.
• Reduced translation-update propagation from around 60 seconds to 10–15 seconds by restructuring the localization update pipeline bottleneck.

VNYX is a venture-backed Amsterdam fashion-tech startup whose platform makes secondhand and overstock resale profitable: a retailer uploads one photo, and the system inspects, grades, prices, and writes the listing with AI, then syncs it across Shopify, eBay, and other marketplaces from a single dashboard. I worked across the Next.js front end and the Node.js and Express back end.

• Designed a provider-agnostic AI layer so each tenant runs product inspection on Claude, Gemini, or OpenAI with no code change, behind one common interface.

• Built a unified marketplace sync engine on an adapter-registry pattern that lists, syncs, and reconciles across many marketplaces with per-product and per-variant external-ID tracking.

• Implemented multi-tenant isolation end-to-end — tenant resolution in the API client and back-end middleware, enforcing effective tenant and role on every request.

• Built the AI pipeline: image, vision analysis, multi-provider LLM inspection, automated grading with defect detection and price multipliers, and finished listing.

• Moved analysis, image generation, and marketplace sync onto BullMQ and Redis workers with retries and dead-letter handling.

ECHO is a cross-platform social storytelling app — React Native and TypeScript on a Supabase back end, in beta on iOS and Android. It takes the familiar Instagram-style story format and adds something incumbents don't have: "Chains" — stories multiple users co-author in sequence, including private, host-gated communities. Users post photos, videos, text, and voice-over stories.

• Architected the Supabase back end around Postgres RPC functions and triggers, keeping business logic in the data layer and the client thin — so story, chain, and chat state stay authoritative as multiple users act concurrently.

• Engineered the "Chains" feature: sequential multi-contributor stories with request-to-join access and dual gating through membership and host approval.

• Built real-time messaging on Supabase Realtime — reactions, typing indicators, and read receipts — designed to stay consistent as delivery and presence change live.

• Implemented an offline-first action queue and local chat cache so user actions persist and replay cleanly on reconnect instead of failing under poor connectivity.

• Built the native media pipeline — Vision Camera, video with thumbnails, and voice-over audio — behind a unified multi-format story creator.

I built the patient-facing React Native modules that connect policyholders to doctors.

Key Contributions:
• Developed doctor discovery with multi-criteria search across specialty, location, availability, and ratings, optimized for fast results over a large doctor database.
• Built the appointment booking flow with slot selection synchronized against multiple doctors' calendars, preventing double-booking and stale availability.
• Integrated real-time patient-doctor chat for consultations, handling message delivery, session state, and connection recovery.
• Optimized list rendering and navigation to stay smooth under high traffic on mid-range Android devices.
• Followed healthcare data privacy and secure storage practices across search, booking, and chat flows.

ChessX is a cross-platform chess platform — real-time PvP, a collectible Hero system, skill-based progression, and a live in-app economy with Apple IAP and on-chain rewards — built on a React Native client and a Node.js and TypeScript back end, live in early-access alpha on iOS and Android. I built it end-to-end as the sole engineer.

• Architected server-authoritative gameplay — all move validation, clocks, and match termination enforced server-side, so client and server never diverge on game state.

• Scaled real-time multiplayer with Socket.IO over a Redis adapter, holding board state, timers, and presence consistent across concurrent matches and multiple server instances.

• Built payments across Apple In-App Purchase and on-chain Ethereum, and serialized concurrent reward claims with Redis advisory locks per user and reward ID to prevent duplicate issuance under race conditions.

• Built season rollovers as compensating sagas with rollback and dead-letter records — safe recovery without database transactions.

• Structured the system as a Turborepo monorepo of four deployable apps bound by a shared contract package, and isolated the Stockfish analysis engine behind a clean Dockerized HTTP boundary.

Outcome (Outcome.xyz) is a live Web3 prediction market where users trade YES/NO tokens on real-world events—crypto prices, sports, economics. Tokens trade between $0 and $1; the winning side pays $1 at resolution; markets resolve via verified data feeds; and positions settle on-chain. Users sign in with a wallet or a plain email address, and the platform runs in production as a PWA with Sentry monitoring.

I worked as a front-end/full-stack engineer on the public trading application, building core user-facing modules in Next.js, React, and TypeScript. The defining challenge: keep a financial interface truthful and smooth at once — market data streams over MQTT faster than a UI can naively absorb, settlement brings latency and failure states the trader must see, and every number is money. My part ran from client-side state architecture for high-frequency updates—React Query for server state, Zustand slice subscriptions so components re-render only for fields they consume—to pending on-chain transactions shown with real status, and a claim flow safe to retry when a broadcast fails. All of it shipped through the team's test-first Claude Code pipeline, where untested code couldn't merge, and coverage gates were enforced by tooling.

Singularity Finance is an AI-powered DeFi analytics platform that enables users to track token performance, staking, and liquidity across the Singularity ecosystem. I built and optimized the front end.

Key Contributions:
• Delivered real-time dashboards for token metrics, yield data, and liquidity analytics using React Query and Recharts with sub-second update cycles.
• Built data-driven UI components that stay performant and readable under continuous on-chain data streams.
• Implemented MetaMask and WalletConnect authentication with on-chain transaction signing, letting users manage vaults, execute swaps, and track holdings in real time.
• Optimized high-frequency components through memoization, code splitting, and React Query caching.
• Coordinated with back-end and Web3 teams on data flow, transaction state handling, and clear user feedback.

Klinikya is a Turkish telehealth platform that lets patients consult doctors and hospitals online, request personalized treatment plans, and access prescriptions and at-home lab services. I developed the patient and doctor mobile apps in React Native, through to beta release.

Key Contributions:
• Built the appointment booking flows — slot selection, doctor profile browsing, patient scheduling, booking confirmation, and medical history screens.
• Developed patient-facing and doctor-facing interfaces in React Native for iOS and Android.
• Worked in Agile with biweekly sprints and continuous stakeholder feedback from concept to beta.

SingularityDAO is a DeFi hub for AI-managed crypto portfolios (DynaSets), staking, yield farming, governance, and token swaps. I worked across the front end and back end.

Key Contributions:
• Developed the DynaSets UI showing AI-driven asset allocations, rebalancing history, and yield performance with real-time chart updates from on-chain data.
• Built NestJS back-end services powering staking vault data, governance proposal management, and yield reward calculations.
• Designed staking and yield farming interfaces — deposit flows, lock periods, APY calculations, and reward tracking across unbonded and epoch vaults.
• Implemented governance voting UI for SDAO holders to browse proposals, cast votes, and track outcomes.
• Built token bridge and swap interfaces with real-time pricing, slippage controls, and transaction status tracking.
• Integrated MetaMask for secure staking, voting, and on-chain transactions.

SRKONE is the B2B diamond buying app of Shree Ramkrishna Exports, one of the world's largest diamond manufacturers, serving global wholesale buyers. I developed React Native features across iOS and Android as part of the team.

Features I built:
• Diamond search with price-range and multi-criteria filters, plus saved searches.
• Offline stone storage with Realm — buyers review specifications without connectivity, syncing when back online.
• Rich detail views with 3D diamond imagery, HD video, H&A files, and GIA certificates.
• Basket, view requests, and purchase confirmation flows through the buying workflow.
• Event screens for buying programs and worldwide shows.
• Stone sharing via email and WhatsApp, push notifications for stones matching saved searches, and biometric login.