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A mix of ML research and practice to solve problems.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Deep Learning and Machine Learning. Love to build cool stuff. Always Learning. And constantly reading papers. I'm a MS graduate from Georgia Tech with a specialization in Machine Learning who has been working in industry the past couple of years on Computer Vision, NLP, and RL problems.
Georgia Institute of Technology
Master’s Degree, Computer Science
January 1, 2015 – January 1, 2017
Georgia Institute of Technology
Bachelor’s Degree, Computer Science
January 1, 2012 – January 1, 2015
Antithesis
Senior Engineer
June 1, 2022 – Present
Vienna, Virginia, United States
Serco
Machine Learning Scientist
June 1, 2020 – August 1, 2022
Arlington, Virginia
Decisive Analytics Corporation
Machine Learning Scientist
June 1, 2017 – June 1, 2020
Arlington, Virginia, United States
Georgia Tech Research Institute
Student Intern
June 1, 2015 – August 1, 2015
Atlanta
Georgia Tech
Undergraduate Researcher
December 1, 2013 – January 1, 2014
Atlanta
CodeGuard
ios developer
May 1, 2013 – August 1, 2013
SVD++
May 1, 2014 – Present
Reimplemented SVD++ algorithm for fun. (One of the main ones behind the Netflix prize.) see http://public.research.att.com/~volinsky/netflix/kdd08koren.pdf
LDA Topic Modeling
March 1, 2014 – May 1, 2014
I reimplemented LDA, a topic modeling algorithm (for fun) to detect the topics of newspaper articles. In the project I used Gibbs sampling.
Activity Recognition using Accelerometer
January 1, 2013 – Present
Using Weka, wrote Android code to detect activity (e.g., running, walking, jogging).
Cultural Fit Analysis
The candidate's project history shows a strong inclination towards self-driven learning and implementation of complex algorithms, which suggests a proactive and intellectually curious individual. The roles held are primarily in Machine Learning and Senior Engineering, indicating a comfort with technical depth. The personal projects demonstrate initiative and a passion for the field. However, the lack of detailed descriptions for team-based projects or collaborative efforts makes it challenging to fully assess cultural fit in a highly collaborative team setting.
Soft Skills & Operational Fit
The candidate's experience descriptions are brief, making it difficult to assess soft skills like teamwork, leadership, or problem-solving approach in a collaborative environment. The description for Serco suggests an independent problem-solving approach ('read a bunch of papers, come up with a solution, and implement it').