Ankit K.

CEO

Chicago, Illinois, United States7 yrs 8 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in quantitative trading and machine learning.
Proven track record in developing AI models.
Strong background in statistical analysis and research.

Stackforce AI infers this person is a Quantitative Researcher with expertise in AI and statistical modeling.

Contact

Skills

Core Skills

Quantitative ResearchMachine LearningTeachingStatistical AnalysisArtificial IntelligenceDeep LearningResearchData AnalysisAlgorithm DevelopmentOperations Research

Other Skills

Computer VisionC++Signal ProcessingOptimizationSoftware DevelopmentData StructuresComputer ScienceAlgorithmsData MiningArtificial Intelligence (AI)MathematicsMathematical ModelingData SciencePythonJava

Experience

7 yrs 8 mos

Total Experience

3 yrs 4 mos

Average Tenure

11 mos

Current Experience

Non compete

Non-compete

May 2025 – Present · 11 mos · United States

In non-compete period
Note to recruiters: not looking for any opportunities at this time, please do not reach out for intro requests

Headlands technologies llc

Research

Jun 2020 – May 2025 · 4 yrs 11 mos · Chicago, Illinois, United States

Quantitative Trading

Quantitative ResearchMachine Learning

Enlightenment research, llc

Quantitative Researcher Intern

May 2019 – Aug 2019 · 3 mos · Greater New York City Area

Implemented and tested volatility forecast models for US equities market.

Quantitative ResearchStatistical Analysis

University of illinois at urbana-champaign

Graduate Teaching Assistant

Aug 2018 – May 2020 · 1 yr 9 mos · Urbana-Champaign, Illinois Area

CS 498 Applied Machine Learning (Spring '19)
CS 105 Intro to Computing (Fall '18, Spring '20)

Machine LearningTeaching

Samsung electronics

Research Engineer

Sep 2016 – Jul 2018 · 1 yr 10 mos · Seocho-gu, Seoul, Korea

Worked in Artificial intelligence Center at Samsung Research.
Worked on 'Bixby Vison', the virtual assistant in Samsung smart devices.
Developed and tested deep neural network models for real time detection and classification of fashion apparels and accessories.
Implemented algorithms to retrieve the identified items from online store.

Artificial IntelligenceDeep Learning

Columbia university in the city of new york

Visiting Research Intern

May 2016 – Jul 2016 · 2 mos · Greater New York City Area

Worked towards proving stochastic regret bound of Thompson Sampling in multi-arm bandit problem.

ResearchStatistical Analysis

Samsung electronics

Software Engineer Intern (Machine Learning)

May 2015 – Jul 2015 · 2 mos · Suwon, Gyeonggi-do, Korea

Implemented and tested different models to predict the HVAC energy consumption patterns in school buildings based on its previous HVAC energy consumption, weather forecasts and class schedule

Machine LearningData Analysis

Xerox

Research Intern

May 2014 – Jul 2014 · 2 mos · Bangalore, India

Worked on enhancing scheduling and routing algorithms for improving performance metrics such as maximizing demands served, and reducing operational cost of public transportation.
Co-invented the patent US9746332 based on the problem setting and findings from the work.

Algorithm DevelopmentOperations Research