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Hi, I'm Ricky Ansari

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Building intelligent systems at the intersection of machine learning, quantitative finance, and software engineering.

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About Me

I'm a software engineer passionate about building systems that make a difference. With a focus on quantitative development and machine learning, I create solutions that bridge the gap between complex algorithms and real-world applications.

My journey spans from developing production-grade trading systems to crafting full-stack web applications. I thrive on solving challenging problems and continuously pushing the boundaries of what's possible with code.

When I'm not coding, you'll find me exploring new technologies, contributing to open-source projects, or diving deep into research papers on ML and finance.

5+ Years Experience
20+ Projects Built
10+ Technologies
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Skills & Technologies

Languages

Python JavaScript TypeScript C++ SQL Rust

Frontend

React Next.js Vue.js Tailwind CSS Three.js

Backend & Data

Node.js FastAPI PostgreSQL MongoDB Redis GraphQL

ML & Quant

TensorFlow PyTorch scikit-learn Pandas NumPy QuantLib

DevOps & Cloud

AWS Docker Kubernetes CI/CD Terraform

Tools & More

Git Linux Vim Jupyter Figma

Featured Projects

Real-Time Analytics Dashboard

High-performance dashboard for monitoring financial metrics with WebSocket streaming, interactive charts, and customizable alerts.

React D3.js Node.js Redis

ML Pipeline Framework

Scalable ML pipeline for training, evaluating, and deploying models with automated hyperparameter tuning and A/B testing capabilities.

Python PyTorch Docker AWS

Auth & Security Library

Robust authentication library with OAuth 2.0, JWT, and multi-factor authentication support for enterprise applications.

TypeScript Node.js PostgreSQL

Experience

Software Engineer

Tech Company
2022 - Present
  • Developed and maintained production ML pipelines processing millions of data points daily
  • Led the design and implementation of microservices architecture reducing latency by 40%
  • Mentored junior developers and conducted technical interviews

Quantitative Developer

Financial Firm
2020 - 2022
  • Built algorithmic trading systems with Python and C++ handling $50M+ daily volume
  • Implemented statistical arbitrage strategies with Sharpe ratios exceeding 2.0
  • Developed risk management tools and real-time monitoring dashboards

Full Stack Developer

Startup
2019 - 2020
  • Built responsive web applications using React, Node.js, and PostgreSQL
  • Implemented CI/CD pipelines and automated testing frameworks
  • Collaborated with designers to create intuitive user experiences

Get In Touch

I'm always interested in hearing about new opportunities, collaborations, or just having a chat about technology and innovation. Feel free to reach out!

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