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Principal AI Engineer
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced Data Scientist exploring Artificial Intelligence. Skilled in deep learning, statistical and predictive modeling, machine learning, pattern recognition, data mining, modeling design, and programming. Proven ability in successful development and implementation of algorithm and machine learning projects.
Georgia Institute of Technology
Master’s Degree, Computational Science and Engineering
January 1, 2015 – January 1, 2016
Indian Institute of Technology, Madras
Bachelor's Degree, Civil Engineering
January 1, 2008 – January 1, 2012
Microsoft
Principal Artificial Intelligence Engineer
March 1, 2026 – Present
Microsoft
Senior Artificial Intelligence Engineer
October 1, 2022 – March 1, 2026
Microsoft
Artificial Intelligence Engineer
August 1, 2018 – September 1, 2022
Bonsai
Artificial Intelligence Engineer
March 1, 2017 – August 1, 2018
Berkeley, California
QbitLogic
Deep Learning Intern
May 1, 2016 – December 1, 2016
Atlanta, Georgia
Statistical Consultancy
Consultant
September 1, 2014 – December 1, 2014
Hyderabad Area, India
HES Inra Tech Ltd.
Design Engineer
September 1, 2012 – August 1, 2014
Andhra Pradesh, India
HES Infra Pvt Ltd.
Summer Internship
December 1, 2010 – January 1, 2011
Hyderabad Area, India
IVRCL Infrastructures and Projects Ltd
Summer Internship
May 1, 2009 – July 1, 2009
Madhya Pradesh, India
Neuro-evolutionary architecture for image classification
January 1, 2016 – Present
An evolutionary algorithm which optimizes the architecture of a neural network for the task of image classification.
Machine Learning Algorithms Repository
August 1, 2015 – Present
A code repository of Machine Learning models built from scratch in python.
Hybrid Genetic Algorithm for Vertex Cover
August 1, 2015 – December 1, 2015
An evolutionary genetic algorithm that combines list right heuristic with genetic algorithms to solve the NP-hard Minimum Unweighted Vertex Cover problem
Optimal clustering for vehicle routing combined with workload balancing
June 1, 2014 – March 1, 2015
Developed and implemented a recursive clustering algorithm, that uses Support Vector Machines to maximize the cluster separation and given a minimum cluster separation, determines optimum number of clusters using R
Optimization techniques in Business Analytics
Indian Statistical Institute
June 24, 2026 – Present
Six Sigma
Indian Statistical Institute
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background in AI/ML and computational science aligns well with a data-driven culture. The personal projects demonstrate initiative and a passion for complex problem-solving. The experience at Microsoft suggests an ability to thrive in a large, structured organization. However, the target role is 'Data Analyst' while the experience is heavily skewed towards 'AI Engineer'. While there's overlap, the depth of AI/ML might be overqualified or misaligned with typical Data Analyst responsibilities, which often focus more on reporting, dashboarding, and business intelligence rather than algorithm development. The lack of specific technologies listed for personal projects makes it harder to assess breadth of tools.
Soft Skills & Operational Fit
The candidate's project descriptions and work history suggest a strong problem-solving orientation and an ability to work on complex, research-intensive tasks. The progression through AI Engineer roles at Microsoft indicates a capacity for growth and taking on increasing responsibility. However, specific soft skills like teamwork, leadership, or communication are not explicitly detailed in the provided data.