Available for full-time · Early-stage startups · Remote

Ankit Singh · Full-Stack Engineer

BuildingAI & Web3Systems

Frontends that hold up under real load.

Frontend-heavy full-stack engineer at Hornet, shipping the analyst surface of an on-chain investigation platform — transaction graphs, geo-IP heatmaps, and case workflows built to stay legible under real load. On the side I build LLM and Web3 products that exercise the same muscles: Echo (real-time AI chat), Quorum (UNI governance), and ACraft (Gemini-powered image generation). Owning features from system design through deploy.

4 AI
In-flow capabilities · Echo
React Flow
Fund-flow graphs · Hornet
10M → 0
Vote barrier removed · Quorum
30+
AI style presets · ACraft
Let's Build SomethingView Resume
Ankit Singh - Full Stack Engineer
Full-Stack Engineer · Featured Work

Production AI Systems

Production systems I ship and operate. Measurable outcomes, live in production

01/04AI Chat Platform · Real-time Messaging

Echo

Team chat platform with servers, channels, and real-time WebSocket messaging — wired with four AI capabilities baked into the message flow: auto-moderation on send, smart reply suggestions, an @AI chatbot member, and one-click channel summarization. Redis pub/sub fans out messages across worker processes; prompt caching keeps latency and cost low.

Before

Team chat is dumb pipes. Moderation is manual, threads sprawl, and catching up on a busy channel means scrolling for ten minutes.

After

Messages get moderated before they broadcast. Reply suggestions and @AI live inline. One click summarizes a channel. Real-time scales horizontally via Redis pub/sub.

WebSockets
Real-time pub/sub
4 AI
Mod · Replies · @AI · Summary
Async
FastAPI + SQLAlchemy
Cached
Ephemeral prompt cache
Stack
Next.js 15TypeScriptTailwindFastAPIPostgreSQLRedisWebSocketsSQLAlchemyOpenAI
Source Visit
02/04Blockchain Forensics · On-Chain Intelligence

Hornet

Frontend for an on-chain investigation platform built for analysts and compliance teams. Trace fund flows on an interactive transaction graph, layer geo-IP heatmaps over wallet activity, build dashboards from drag-and-drop widgets, and export case reports — built for case work, not block exploring.

Before

Investigations live across explorer tabs, CSV dumps, and screenshots. No way to see fund flow shape, no shared case state, no clean artifact to hand to a stakeholder.

After

Auto-laid-out transaction graphs (React Flow + dagre/ELK). Geo-IP heatmaps over a world map. Multi-chart analytics. One-click PDF/PNG case reports. Investigation as a workspace, not a scavenger hunt.

React Flow
Fund-flow graphs
Auto-layout
Dagre + ELK
Geo-IP
World-map heatmaps
PDF / PNG
Case-report export
Stack
React 18ViteReact FlowMUIRedux ToolkitDagreELKRechartsEChartsjsPDF
03/04Generative AI · Image Pipeline

ACraft

AI image generation that turns a single reference photo into stylized 4K artwork. Auto prompt engineering removes the manual tuning loop. 30+ styles spanning portrait, cyberpunk, fantasy, sci-fi, and abstract — powered by Gemini multimodal.

Before

Hiring a designer is slow and expensive. DIY prompting means trial-and-error until the output finally looks right.

After

Upload, pick a style, download. No prompt crafting. 4K output, 30+ aesthetics, instant export. Designer-grade results in seconds.

4K
Export resolution
30+
Style presets
Gemini
Multimodal backbone
One-shot
No prompt tuning
Stack
Next.jsJavaScriptGeminiVercel
Source Visit
04/04Web3 · DAO Governance

Quorum

Governance frontend that opens UNI proposal submission beyond whales. Anyone can draft a proposal, share it publicly, and rally delegate support — once it crosses the surfacing threshold, it lands on the main feed. Smart-contract-backed state, transparent vote accounting, built on the Uniswap delegation graph.

Before

Only whales with 10M+ UNI votes could submit proposals. Small holders had no path into governance.

After

Anyone can propose. Public sharing rallies delegate support. 400 votes = featured. Governance opened to everyone, not just whales.

10M → 0
Vote barrier removed
400
Delegates to feature
UNI
Governance integration
On-chain
Proposal pipeline
Stack
Next.js 14JavaScriptthirdwebethers.jsTailwindNextUIVercel
Source Visit
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Tech Stack

Tech Stack (Production)

Frontend (Product UI)

TypeScript, React, Next.js (App Router), Tailwind CSS

Backend & APIs

Node.js, Python, FastAPI, Express.js, REST APIs, WebSockets

AI Systems (Production)

OpenAI / GPT-4, LangChain, RAG pipelines, pgvector, embedding search, LLM orchestration

Data & Infrastructure

PostgreSQL, Redis, Object Storage (S3), queues / async processing

Cloud & Deployment

AWS (EC2, S3, RDS), Docker, Vercel, CI/CD (GitHub Actions)

Architecture & Practices

Multi-tenant SaaS, distributed systems, event-driven design, system design, performance optimization

About Ankit Singh

Full-Stack, AI & Web3: Expertise & Impact

Blockchain Integration

Shipping Web3 features that talk to real chains. Built UNI governance flows on Ethereum using thirdweb and ethers.js — proposal lifecycle, delegate voting, and on-chain state synced into a polished UI. At Hornet, extending the same instincts to multi-source on-chain data: transaction graphs, address clustering, and chain-aware investigation workflows.

LLM Integration

Wiring multimodal LLMs into product surfaces, not demos. Built ACraft on Gemini's multimodal model — image-to-image generation with auto prompt engineering, so users never see a prompt. Comfortable with multi-provider routing, structured output, vision pipelines, and the failure modes that only show up in production.

Data-Heavy Frontends

Turning dense data into UIs that stay legible under load. Built investigation dashboards with React Flow and auto-layout (dagre, ELK) for transaction-graph traversal, geo-IP heatmaps over a world map, multi-chart analytics across recharts and ECharts, and exportable PDF/PNG case reports — a workspace built for analysts, not block explorers.

Full-Stack Ownership

Owning features end-to-end across the stack — UI, state, APIs, and integrations. Day-to-day in React, Next.js, Vite, TypeScript, MUI/Tailwind, Redux Toolkit, and on-chain tooling (thirdweb, ethers). Pick up unfamiliar codebases quickly; ship slices from spec through release.

I'm a full-stack engineer focused on the frontend layer of products that lean heavily on AI and Web3. At Hornet, I build the analyst-facing surface of an on-chain investigation platform — the kind of UI where transaction graphs, multi-source data, and case workflows have to stay fast and legible under real load.

On the side I ship products that exercise the same muscles: Quorum (UNI governance with smart-contract-backed state) and ACraft (Gemini-powered image generation), among smaller experiments. I'm comfortable owning a feature from system design through deploy — TypeScript, React, Next.js, Web3 tooling, and LLM integration are the everyday stack.

Open to roles where the frontend is genuinely hard — heavy data, real-time graphs, AI surfaces, or chain-aware UIs — and where engineers are trusted to ship the whole slice.

Professional Journey

Full-Stack & AI Engineer Experience

Apr 2025 - PresentKolkata, India · On-site

Software Engineer · Hornet Decentratech

Building Hornet, an on-chain investigation platform for analysts and compliance teams. Own the analyst-facing surface end-to-end: transaction-graph visualisations with auto-layout, geo-IP heatmaps, dashboard composition, and exportable case reports.

Translate heavy data — graph traversals, multi-source queries, dense dashboards — into UIs that stay fast and legible under real investigation load. Work closely with backend and data teams to iterate on schema and product surface as the platform evolves.

ReactViteReact FlowMUIRedux ToolkitDagreELKRecharts
Apr 2024 - Apr 2025Chandigarh, India · On-site

Software Developer · Code Brew Labs

Shipped client-facing web and mobile features across multiple product engagements. Worked across the stack — UI, state, APIs, and integrations — owning slices of delivery from spec to release.

Picked up unfamiliar codebases quickly, debugged across legacy and greenfield projects, and contributed patterns the team reused on later builds.

ReactNode.jsTypeScriptREST APIs
Contact

Let's Work Together

Open to full-time remote engineering roles at early-stage startups building production AI systems. Best fit for teams that value ownership, speed, and engineers who ship and maintain what they build. Flexible with overlapping time zones globally - I adapt my schedule to your team's rhythm, wherever you're based.

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