Bhavya Gor
root/session/identity
  • > whoamiBhavya Gor
  • > roleFull stack developer
  • > locationBangalore, India
  • > focusAI agents · Blockchain infrastructure · Full-stack product engineering
  • > looking_forFounding Engineer roles in AI and blockchain startups
~/home/positioning

Curious developer building AI agents, crypto infra, and zero-to-one products.

I work best when the idea is promising but under-specified: shape the architecture, build the first usable system, connect it to real users, and keep tightening it. My current focus is AI agents, LLM workflows, Farcaster/Base products, smart contracts, and decentralized infrastructure.

[ View Projects ][ View Resume ][ Contact Me ][ GitHub ]

> cat ~/about.md

I’m Bhavya, a full-stack engineer who builds product systems at the edge of AI and crypto. I’m useful when the problem is still ambiguous: define the architecture, ship the first working version, and tighten it from real usage.

Professionally, I’ve worked as a founding engineer across frontend, backend, SDKs, no-code tooling, and LLM workflows. I’ve also modernized production frontend infrastructure and contributed to open-source Web3 tooling.

My projects show the same range in sharper form: ReplyGuy generated 16k+ contextual Farcaster replies for 400+ users, Bridge-AI turned Web2 inputs into Web3 migration plans, and Framify made on-chain commerce easier for non-crypto merchants.

I’m looking for full-stack, AI engineer, or founding engineer roles where ownership matters and the work sits close to product, infrastructure, and users.

> tail -f ~/syslog/experience.log

[PROCESS: ODYSEE_INFRA]Aug 2025 - Present

Software Engineer, Full Stack @ Odysee

Building decentralized publishing infrastructure, modular portal systems, and modern frontend deployment paths for a large production codebase.

> IMPACT: Built decentralized publishing infrastructure and reduced production build time from minutes to roughly 2 seconds while modernizing a 4,000+ module frontend.
  • Decentralized publishing
  • Modular portal systems
  • Dynamic page rendering
  • Dynamic layouts and reusable modules across decentralized pages
[LOG: FOUNDING_ENGINEER_NITI]Oct 2022 - Jun 2025

Founding Engineer, Full Stack @ Niti.ai

Owned product engineering across frontend, backend, SDKs, no-code tooling, and LLM orchestration during the company’s zero-to-one phase.

> IMPACT: Shipped platform SDKs used across 12+ integrations and built AI workflows across LangGraph, FastAPI, Next.js, OpenAI, and Anthropic.
  • Frontend and backend ownership
  • End-to-end system design across frontend, backend, and AI infrastructure
  • Platform-agnostic SDKs used across 12+ integrations
  • React, React Native, Flutter, Android integrations
[THREAD: BUIDLGUIDL_CONTRIB]Mar 2023 - Present

Contributor @ BuidlGuidl

Contributing to open-source Ethereum tooling and experimental crypto-native applications across Scaffold-ETH 2, onboarding, and verification.

> IMPACT: Contributed to developer tooling and experimental crypto-native applications.
  • Open-source Web3 tooling
  • Scaffold-ETH 2 extensions
  • Randomness generator extension with custom smart contracts
  • Privy onboarding widget for Scaffold-ETH 2 developers

> ls -la ~/projects

Four builds across AI agents, migration tooling, commerce frames, and on-chain marketplace systems.

~/projects/replyguy

ReplyGuy

AI agent for contextual Farcaster replies

ReplyGuy maps Farcaster users into semantic profiles, matches them with relevant casts, and generates contextual replies with AI reasoning. It is a production-minded agent experiment at the intersection of social data, embeddings, personalization, and verifiable AI output.

  • Generated 16k+ contextual Farcaster replies
  • Served 400+ users
  • Built per-user semantic graphs using OpenAI/Gemini embeddings
  • Stored semantic profile data in Supabase
  • Built on EigenLayer AVS concepts to add verifiability to AI outputs
  • Made outputs verifiable through on-chain attestations
  • Finalist at Base Batch India 2025
architecture.layers
FrontendNext.js 15, React, TypeScript, Tailwind, Farcaster Frames SDK
Farcaster LayerNeynar APIs, Farcaster auth, frame webhooks, cast notification routes
Agent RuntimeNode.js/TypeScript MCP execution server with user, AI, AVS, and Neynar services
AI LayerGemini, OpenAI, embeddings, semantic user profiles, contextual reply generation
Data LayerSupabase for user intelligence, semantic data, subscriptions, and reply state
Cache / SessionUpstash Redis, NextAuth, TanStack Query
VerificationReclaim Protocol validation service, Othentic AVS, EigenLayer-style task validation
Contracts / NetworksAttestation Center on Base Sepolia, AVS governance on Ethereum Holesky
InfraDockerized backend services, docker-compose AVS stack, Vercel frontend
~/projects/bridge-ai

Bridge-AI

AI platform for Web2 to Web3 migration

Bridge-AI turns Web2 product inputs and codebase context into Web3 migration plans. It uses agentic reasoning to propose blockchain architecture, contract scaffolds, tokenization models, wallet flows, decentralized storage, and integration steps.

  • Finalist at ETHIndia 2024
  • Generated complete Web3 migration plans from Web2 codebases and product inputs
  • Used LangChain agents for architecture reasoning
  • Generated smart contract scaffolds
  • Integrated Scaffold-ETH 2 templates
  • Suggested tokenization, WalletConnect, Base L2, CDP SDK, and decentralized storage flows
  • Reduced weeks of Web3 discovery work into minutes
architecture.layers
FrontendNext.js 14, React, TypeScript, Tailwind, Scaffold-ETH 2
Web3 UIRainbowKit, Wagmi, Viem, burner connector, block explorer, contract debug flows
AI BackendFastAPI, LangGraph, LangChain, OpenAI, streaming workflow routes
Agent WorkflowsResearcher, analyst, and coder graphs for Web3 planning and contract generation
Developer SurfaceMonaco editor, Mermaid/MDX architecture diagrams, generated migration plans
Blockchain SDKsCDP AgentKit, CDP SDK, cdp-langchain, Web3.py, eth-account
ContractsSolidity, Hardhat, hardhat-deploy, TypeChain, OpenZeppelin
Data / IndexingIndexed research corpus, generated workflow state, SQLAlchemy-ready persistence
InfraDockerized FastAPI service, Vercel Next.js app, Yarn workspaces
~/projects/framify

Framify

No-code Farcaster commerce builder for Shopify merchants

Framify brings Shopify commerce into Farcaster frames. Merchants can publish product frames, accept USDC, generate Coinbase Smart Wallets, and issue EAS-verified receipts without touching seed phrases or crypto infrastructure.

  • Finalist at Onchain Summer Buildathon
  • Finalist at EAS Summer 2024
  • No-code Farcaster frame generation for Shopify merchants
  • Accepted USDC on-chain payments
  • Generated Coinbase Smart Wallets with passkeys
  • Issued and stored EAS-verified order receipts on-chain
  • Tracked frame analytics
  • Made crypto commerce usable for non-technical merchants without seed phrases
architecture.layers
FrontendNext.js 14, React, TypeScript, Tailwind, MUI, Scaffold-ETH 2
Frame BuilderFarcaster frame rendering with frames.js, Frog, Hono, HTML template extraction
BackendNext.js API routes for frames, analytics, orders, and generated frame metadata
DatabaseMongoDB with Mongoose for frames, users, orders, journeys, and analytics
Wallet / AuthDynamic embedded wallets, Safe smart accounts, Wagmi, Viem, permissionless.js
Onchain UXCoinbase OnchainKit, EAS SDK, Safe API Kit, Safe Protocol Kit
ContractsSolidity, Hardhat, Chainlink contracts, OpenZeppelin, Polygon deployment artifacts
Payments / ReceiptsUSDC-oriented commerce flows, attestable order receipts, smart wallet execution
Assets / StorageIPFS upload flow for generated SVG/frame assets
AnalyticsRecharts/ApexCharts dashboards for interactions, unique FIDs, orders, and journeys
~/projects/lumen

Lumen

Tokenized marketplace for sustainable consumer behavior

Lumen is a Web3 marketplace concept for sustainable products, carbon-inset accounting, and on-chain traceability. It explores how token incentives, product provenance, and compliance-aware data can push consumer behavior away from greenwashing and toward measurable impact.

  • Finalist at Based India 2024
  • Built tokenized marketplace incentivizing sustainable consumer behavior with on-chain traceability
  • Designed carbon-inset accounting and circular-economy incentive flows
  • Positioned on-chain product traceability against greenwashing and EU CBAM / EUDR compliance needs
architecture.layers
FrontendNext.js, Tailwind
BackendNode.js API routes
MarketplaceProduct listings, sustainable behavior flows, user claims, and reward state
DatabaseMongoDB / Supabase-style product, user, claim, and marketplace persistence
ContractsSolidity, Hardhat, token incentives, product provenance, traceability records
Web3 StackBase, wallet connection, tokenized marketplace interactions
Data LayerCarbon-inset accounting, circular-economy metadata, product lifecycle events
Compliance LayerTraceability fields for greenwashing defense and EU CBAM / EUDR style reporting
InfraVercel, GitHub Actions, environment-driven Web3 app deployment

> map ~/skills --system

Languages

  • TypeScript
  • JavaScript
  • Python
  • Solidity
  • Go
  • Java
  • SQL

AI / Agents

  • LangGraph
  • LangChain
  • LangSmith
  • OpenAI SDK
  • Anthropic SDK
  • Gemini API
  • Embeddings
  • Vector search
  • RAG
  • FastAPI

Frontend / Backend

  • Next.js
  • React
  • Node.js
  • Express
  • FastAPI
  • Tailwind
  • Vite
  • React Native
  • Flutter
  • REST APIs

Web3

  • Solidity
  • Hardhat
  • Foundry
  • Scaffold-ETH 2
  • Base
  • Farcaster
  • Farcaster Frames
  • EAS
  • EigenLayer
  • Arweave
  • Wagmi
  • Viem
  • WalletConnect
  • Coinbase Smart Wallet

Data & Infra

  • Supabase
  • PostgreSQL
  • MongoDB
  • Mongoose
  • Convex
  • Redis
  • Docker
  • GitHub Actions
  • Vercel
  • AWS
  • Linux
  • pgAdmin
~/contact/execute
Email MeGitHubLinkedInResumeX/Twitter