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Devansh Singh
Technical Stack

Skills & Capabilities

Rather than a disconnected wall of logos, this is a contextual overview of the frameworks, protocols, and architectural patterns I use to build production systems.

Frontend Architecture

Constructing accessible, crawlable, and responsive user interfaces with server-first rendering.

Next.js (App Router)

Server Components, dynamic metadata, streaming SSR, and static site generation.

React 19

Hooks, concurrent features, memoization, and component composition.

TypeScript

Strict typing, generic abstractions, Zod runtime validation, and end-to-end type safety.

Tailwind CSS

Design tokens, dark-mode ergonomics, responsive layouts, and zero-runtime CSS.

WebRTC

Direct browser peer-to-peer data channels and audio streaming without centralized media relays.

D3.js & Chart.js

Interactive data visualization, choropleth maps, and demographic charting.

Backend & Systems

Designing resilient distributed services, real-time pipelines, and microservice APIs.

Node.js & Express

High-throughput event-loop architectures, streaming I/O, and RESTful routing.

Python

Data pipelines, TensorFlow inference microservices, and scientific computation.

WebSockets & Socket.io

Persistent bi-directional streams for real-time order books and chat signaling.

Authentication & Security

OAuth 2.0, JWT token rotation, Web Crypto API, and input sanitization.

API Design

Idempotency patterns, rate limiting, OpenAPI specifications, and clean contracts.

AI, Agents & Machine Learning

Building autonomous agent loops, tool-calling systems, and neural network pipelines.

Model Context Protocol (MCP)

Building custom stdio and HTTP servers to expose system tools to frontier LLMs.

Agentic Tool-Calling

Designing deterministic function schemas, permission boundaries, and telemetry for Gemini.

TensorFlow & Keras

Training multi-layered LSTM recurrent neural networks for financial time-series prediction.

Graph Neural Networks (GNN)

Researching Graph Attention Networks (GATs) for transactional anomaly detection.

Databases & In-Memory Stores

Structuring relational, document, and in-memory caches for low-latency queries.

Redis

Pub/Sub message brokers, transient session state, and order book caching.

MongoDB & Mongoose

Flexible document schemas, aggregation pipelines, and secondary indexing.

PostgreSQL

Relational data modeling, foreign keys, ACID guarantees, and SQL querying.

DevOps, Cloud & Infrastructure

Containerization, reproducible deployment, and cloud infrastructure management.

Docker

Multi-stage container builds, microservice orchestration, and predictable local runtime environments.

Microsoft Azure

App Services, Azure Functions, Cosmos DB, and identity access management.

Linux / Unix Shell

Zsh scripting, process management, POSIX tooling, and daemon automation.

Git & GitHub Actions

Branching strategies, code review workflows, and automated continuous integration.

Testing, Quality & Growth

Ensuring system correctness, telemetry verification, and measured organic growth.

Postman & API Testing

Automated test collections, environment switching, and regression suites.

Search Engine Optimization (SEO)

Crawlability, JSON-LD structured data, Core Web Vitals, and canonical routing.

Growth Marketing & Telemetry

Google Analytics 4 setup, Meta Ads / Google Ads campaign management, and funnel analytics.

Want to see these technologies in action?

Read case studies detailing how these skills combine in real-world systems.

View Engineering Projects