Kartikay Garg

CEO

Gurgaon, Haryana, India7 yrs 11 mos experience

Highly Stable

Key Highlights

Expert in Natural Language Processing and Machine Learning.
Strong background in quantitative analysis and risk modeling.
Proven experience in developing software solutions for complex problems.

Stackforce AI infers this person is a Quantitative Researcher with expertise in Fintech and SaaS industries.

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Skills

Core Skills

Natural Language ProcessingMachine LearningSoftware DevelopmentQuantitative Analysis

Other Skills

TensorflowJavaScriptHTMLRisk AnalysisStatistical ModelingData StructuresC++AlgorithmsProgrammingPythonReinforcement Learning

About

Experienced Quantitative Researcher. Skilled in Algorithms, Programming, Python (Programming Language), C++. Strong finance professional with a Dual Degree Bachelor's and Master's focused in Mathematics and Computer Science from Indian Institute of Technology, Delhi.

Experience

7 yrs 11 mos

Total Experience

7 yrs 11 mos

Average Tenure

7 yrs 11 mos

Current Experience

Graviton research capital llp

Portfolio Manager

Jul 2018 – Present · 7 yrs 11 mos · Gurgaon, India

Adobe

Research Internship

May 2017 – Jul 2017 · 2 mos · Noida Area, India

Ideated and implemented complete pipeline to cater for preprocessing, training and inference processes of several Natural Language use cases of Adobe Experience Manager Forms using Tensorflow primitives and low level APIs.
Trained Language Models to find reading order in the text extracted from scanned documents
Trained a network to extract semantic structure of a form by mapping each caption with widgets.

Natural Language ProcessingTensorflowMachine Learning

Microsoft

Software Engineer Internship

May 2016 – Jul 2016 · 2 mos · Hyderabad Area, India

Developed a browser application and an in-app framework for supporting interactive custom cards for Kaizala, a mobile app available in Microsoft Office Suite for large group communications and work management.
Added functionality to provide support for user made cards using HTML and JavaScript
Extended existing application for batch upload and download of images to reduce latency

JavaScriptHTMLSoftware Development

Indian institute of technology, delhi

Summer Research Intern

May 2015 – Jul 2015 · 2 mos · New Delhi Area, India

Analyzed Portfolio Selection models using Copula based extension of risk measures such as variance (Markowitz), Worst Case Conditional Value at Risk (WCVaR) and Worst Case Omega Ratio (WCOR) in Indian Financial Scenario
Forecasted future behaviour of companies through simulations generated using different families of Copula

Risk AnalysisStatistical ModelingQuantitative Analysis