HFT Quant in Equity and Derivatives | B.Tech + M.Tech from IIT Madras | Learning C++
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
IIT Madras
Backend Engineer
June 16, 2026 – Present
Quant-Finance-Resources
August 12, 2019 – December 17, 2021
Courses, Articles and many more which can help beginners or professionals.
View ProjectCourse-Notes-Deep-Learning-by-Andrew-NG-on-Coursera
September 10, 2017 – April 13, 2018
Hand Written course notes of Deep Learning Specialization by Andrew NG on Coursera
View ProjectMachine-Learning-and-AI-in-Trading
August 30, 2017 – October 29, 2019
Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.
View ProjectOptions-Trading-Strategies-in-Python
August 30, 2017 – April 22, 2024
Developing Options Trading Strategies using Technical Indicators and Quantitative Methods
View ProjectICO-Whitepapers
August 15, 2017 – October 22, 2017
This repository contains Initial Coin Offering (ICO) whitepapers of some popular Blockchain companies.
View ProjectSentiment-Analysis-for-Trading
June 26, 2017 – October 9, 2017
Using Natural Language Processing we developed working prototype of Sentiment analyser of NEWS
View ProjectSpamming-with-Whatsapp-Web-and-Selenium
March 25, 2017 – March 25, 2017
I have worked on small 10 line code for using Automated Message sending using Selenium and whatsapp's Web service in whatsapp.
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on quantitative finance, machine learning, and personal automation. While demonstrating initiative and technical curiosity, the diversity of projects outside this niche is limited. The target role is 'Backend Engineer', and while Python/C++ are relevant, the specific application domain of the projects might indicate a strong preference for quant-related work. This could be a good fit if the backend role is within a financial or data-intensive domain, but less so for general-purpose backend engineering.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects indicate a self-starter attitude and an interest in complex problem-solving, but there is no information on collaboration, communication, or project management within a team context.