Solo AI & quant engineer

Hey! I'm ayushv. I build AI copilots, trading engines, and voice-first assistants as a quant dev and ai dev.

I am Ayush Verma (ayushv). I personally architect, code, and deploy everything—from statistical-arbitrage engines as a quant dev to multimodal copilots as an ai dev. As a full stack dev, I ensure production-ready software is delivered directly to founders and funds without the overhead of an agency.

ayushv quant dev ai dev full stack dev Ayush Verma solo engineer principal engineer LangGraph expert trading infrastructure
Ayush Verma
ayushv is a quant dev, ai dev, and full stack dev. Ayush Verma portfolio for AI and trading.
PyTorch
TensorFlow
Hugging Face Transformers
NVIDIA CUDA & NIM
LLMs & RAG
Vector Databases
LightGBM
XGBoost
FastAPI
Flask
PostgreSQL
TimescaleDB
Redis
SQLite
REST APIs
WebSockets
Microservices
React
Next.js
Tailwind CSS
Framer Motion
Plotly Dash
Streamlit
UX/UI Design
MVP UI Systems
Docker
GitHub Actions
Railway
DigitalOcean
GCP
Replit
Environment Scaffolding
OpenAI Agents
n8n Workflows
Custom SDKs
MCP (Model Context Protocol)
Multi-tier Workflows
Automations
Scraping Pipelines
Statistical Arbitrage
Backtesting Engines
ETF Analytics
Pine Script
Trading Automations
Risk & Monitoring
System Design
Architecture Blueprints
Multi-tier Workflows
MVP Specialization
Quick Startup Liftoff
Terminal / Shell
Web Scraping
Notion Certified Expert
SDK Design
ETL / CRUD Systems
PyTorch
TensorFlow
Hugging Face Transformers
NVIDIA CUDA & NIM
LLMs & RAG
Vector Databases
LightGBM
XGBoost
FastAPI
Flask
PostgreSQL
TimescaleDB
Redis
SQLite
REST APIs
WebSockets
Microservices
React
Next.js
Tailwind CSS
Framer Motion
Plotly Dash
Streamlit
UX/UI Design
MVP UI Systems
Docker
GitHub Actions
Railway
DigitalOcean
GCP
Replit
Environment Scaffolding
OpenAI Agents
n8n Workflows
Custom SDKs
MCP (Model Context Protocol)
Multi-tier Workflows
Automations
Scraping Pipelines
Statistical Arbitrage
Backtesting Engines
ETF Analytics
Pine Script
Trading Automations
Risk & Monitoring
System Design
Architecture Blueprints
Multi-tier Workflows
MVP Specialization
Quick Startup Liftoff
Terminal / Shell
Web Scraping
Notion Certified Expert
SDK Design
ETL / CRUD Systems
PyTorch
TensorFlow
Hugging Face Transformers
NVIDIA CUDA & NIM
LLMs & RAG
Vector Databases
LightGBM
XGBoost
FastAPI
Flask
PostgreSQL
TimescaleDB
Redis
SQLite
REST APIs
WebSockets
Microservices
React
Next.js
Tailwind CSS
Framer Motion
Plotly Dash
Streamlit
UX/UI Design
MVP UI Systems
Docker
GitHub Actions
Railway
DigitalOcean
GCP
Replit
Environment Scaffolding
OpenAI Agents
n8n Workflows
Custom SDKs
MCP (Model Context Protocol)
Multi-tier Workflows
Automations
Scraping Pipelines
Statistical Arbitrage
Backtesting Engines
ETF Analytics
Pine Script
Trading Automations
Risk & Monitoring
System Design
Architecture Blueprints
Multi-tier Workflows
MVP Specialization
Quick Startup Liftoff
Terminal / Shell
Web Scraping
Notion Certified Expert
SDK Design
ETL / CRUD Systems
PyTorch
TensorFlow
Hugging Face Transformers
NVIDIA CUDA & NIM
LLMs & RAG
Vector Databases
LightGBM
XGBoost
FastAPI
Flask
PostgreSQL
TimescaleDB
Redis
SQLite
REST APIs
WebSockets
Microservices
React
Next.js
Tailwind CSS
Framer Motion
Plotly Dash
Streamlit
UX/UI Design
MVP UI Systems
Docker
GitHub Actions
Railway
DigitalOcean
GCP
Replit
Environment Scaffolding
OpenAI Agents
n8n Workflows
Custom SDKs
MCP (Model Context Protocol)
Multi-tier Workflows
Automations
Scraping Pipelines
Statistical Arbitrage
Backtesting Engines
ETF Analytics
Pine Script
Trading Automations
Risk & Monitoring
System Design
Architecture Blueprints
Multi-tier Workflows
MVP Specialization
Quick Startup Liftoff
Terminal / Shell
Web Scraping
Notion Certified Expert
SDK Design
ETL / CRUD Systems

ayushv Focus Areas

I specialize in building cutting-edge systems as a quant dev and ai dev.

AI Dev & Systems

As an ai dev, I build LLM copilots, retrieval pipelines, and evaluation harnesses that stay deterministic in production.

Includes governance-first LangGraph agents, cost-aware routing, and regression suites for every workflow by ayushv.

Voice + Multimodal AI

Real-time assistants with STT/TTS, camera/vision models, and tool execution for ops and research teams.

Streaming transcription, neural voice libraries, guardrails, and narrated transcripts for compliance reviews (ai dev).

Quant Dev & Trading Infra

Signals, pair trading engines, and telemetry-rich pipelines tuned for low latency and auditability.

Python + FastAPI services, Redis/PG for state, Prometheus dashboards, and LangGraph risk orchestrators (quant dev).

Agentic Workflows

Custom orchestration that coordinates multiple providers, humans-in-loop, and SaaS tooling.

LangGraph > LangChain for deterministic control, governance hooks, evaluation harnesses, and playbooks by ayushv.

Full Stack Dev & Dashboards

Executive-ready analytics for revenue, risk, or ops wrapped in delightful product UX.

Next.js frontends, supersonic charts, embedded auth, and automated QA as a full stack dev.

Data & Platform Ops

Foundational data ingestion, observability, and compliance rails for lean teams.

FastAPI + Redis, PostgreSQL/pgvector, tracing, and deployment patterns that stay sane on lean infra.

Skills & Capabilities

From ML pipelines to multi-tier automations.

I design and build systems that connect data, models, and workflows into practical tools — from quant research engines to multi-model AI platforms.

AI & Machine Learning

8 skills

Models, training, serving, and applied LLM work.

PyTorchTensorFlowHugging Face TransformersNVIDIA CUDA & NIMLLMs & RAGVector DatabasesLightGBMXGBoost

Backend & Data

9 skills

APIs, data pipelines, and persistence.

FastAPIFlaskPostgreSQLTimescaleDBRedisSQLiteREST APIsWebSocketsMicroservices

Frontend & UI

8 skills

Interfaces, dashboards, and interaction design.

ReactNext.jsTailwind CSSFramer MotionPlotly DashStreamlitUX/UI DesignMVP UI Systems

Infra & DevOps

7 skills

Environments, deployment, and reliability.

DockerGitHub ActionsRailwayDigitalOceanGCPReplitEnvironment Scaffolding

Automation & Agents

7 skills

Multi-tier workflows and automation.

OpenAI Agentsn8n WorkflowsCustom SDKsMCP (Model Context Protocol)Multi-tier WorkflowsAutomationsScraping Pipelines

Trading & Quant

6 skills

Research systems and strategy tooling.

Statistical ArbitrageBacktesting EnginesETF AnalyticsPine ScriptTrading AutomationsRisk & Monitoring

Systems & Architecture

5 skills

Blueprinting and high-level thinking.

System DesignArchitecture BlueprintsMulti-tier WorkflowsMVP SpecializationQuick Startup Liftoff

General Engineering

5 skills

Everyday tools that keep things moving.

Terminal / ShellWeb ScrapingNotion Certified ExpertSDK DesignETL / CRUD Systems

One Lead, Scalable Support

I operate as a principal engineer—architecting, coding, and shipping the core of every project myself. For specialized needs (like complex UI motion or massive data pipelines), I bring in a trusted network of ad-hoc experts. You get the agility of a solo founder with the capability of a full agency.

AI Engineering & Market Insights

Technical deep-dives for the 2026 AI and Fintech landscape.

How to build a production-grade RAG pipeline in 2026?

Building a production-ready Retrieval-Augmented Generation (RAG) system today requires more than just a vector database. It demands enterprise-grade orchestration with tool like LangGraph, multi-stage retrieval (re-ranking), and robust evaluation harnesses to ensure deterministic outputs and prevent hallucinations.

What is the best tech stack for real-time AI avatars?

Real-time AI avatars require a low-latency bridge between STT, LLM inference, and TTS. We use Next.js for the interface, FastAPI for the backend, and specialized providers like Simli or Deepgram for sub-second lip-sync and voice response times.

How to optimize statistical arbitrage strategies for crypto?

Optimizing cointegration-based pairs trading in crypto involves high-frequency market data pipelines, event-driven architecture, and financial anomaly detection using LSTMs. Telemetry-rich pipelines tuned for low latency are critical for maintaining alpha.

Why choose a full-stack AI engineer for your MVP?

A full-stack AI engineer provides the agility of a solo founder with the technical depth of an entire team. By handling everything from Dockerized AI environments to serverless backend orchestration, you ensure a cohesive architecture that scales from day one.

Frequently Asked Questions

Common questions about how I work and what to expect.

Let's Build Something Great

I'm always interested in working on exciting projects and collaborations.

Chat on WhatsApp