Ayush Agarwala profile photo 1 on Tal

Ayush Agarwala

AI SDE Intern @ Junglee Games | Research Consultant @ WorldQuant | Web Dev Enthusiast | Data Science Explorer | Research Aficionado

Bengaluru

2+ years of work experience

Junglee Games
Jul 20251 yr 2 mosPresent

WorldQuant
Sep 20242 yrsPresent

– Designed quantitative trading strategies and alpha models analyzing 63-day operating cash flow ratios for relative valuation assessment across financial markets and subindustries – Created volatility-based algorithmic trading models calculating 120-day implied call option volatility ratios for market sentiment analysis and price prediction – Engineered time series analysis models with 504-day backfill for financial news sentiment analysis, ensuring comprehensive datasets for market movement predictions

Ayush’s AI Stack

antigravity
antigravity
claude code
claude code
cursor
cursor
gemini
gemini
mcp
mcp
claudecode
claudecode

Education

Bms institute of technology and management

Bms institute of technology and management

20224 yrs2026
Indian Institute of Technology, Madras

Bachelor of Science, Data Science

Indian Institute of Technology, Madras

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Headline

AI SDE Intern @ Junglee Games | Research Consultant @ WorldQuant | Web Dev Enthusiast | Data Science Explorer | Research Aficionado

About

Hey there! I’m passionate about building web applications that deliver impact, with hands-on experience in HTML, CSS, JavaScript, Node.js, and databases like MongoDB, MySQL, SQLite3. I’m also into frameworks like Vue.js and Flask, constantly expanding my toolkit. Currently expanding my knowledge in data science, I’m particularly interested in research-driven insights and applying analytical approaches to areas like stock analysis. I’m also exploring 3D modeling, looking to add a creative dimension to my technical projects. Always open to new opportunities and collaborations in tech, data, and beyond.

Location

Bengaluru

AI stack

antigravity

claude code

cursor

gemini

mcp

claudecode

Work experience

AI Software Development Engineer at Junglee Games, Jul 2025 - Present · 1 yr 2 mos

Research Consultant at WorldQuant, Sep 2024 - Present · 2 yrs, – Designed quantitative trading strategies and alpha models analyzing 63-day operating cash flow ratios for relative valuation assessment across financial markets and subindustries – Created volatility-based algorithmic trading models calculating 120-day implied call option volatility ratios for market sentiment analysis and price prediction – Engineered time series analysis models with 504-day backfill for financial news sentiment analysis, ensuring comprehensive datasets for market movement predictions

Education

Bms institute of technology and management

Bachelor of Science, Data Science, Indian Institute of Technology, Madras

Public links

github: https://github.com/Agarwala-Ayush

Ayush Agarwala - AI Software Development Engineer in Bengaluru | Tal