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NLP | Generative AI | Computer Vision | Graph Representation Learning
AI professional specializing in the development of machine learning solutions for complex business challenges. My expertise spans Natural Language Processing, Generative AI, and Image Processing etc. Proficient in designing and implementing neural architectures using cutting-edge frameworks like PyTorch, Keras, and TensorFlow, I bring a strong track record of transitioning research findings seamlessly into production. Additionally, I possess exceptional leadership skills, demonstrated through my ability to lead and mentor teams. With a Master of Technology (MTech) focused on AI and Neural Networks, I am dedicated to staying ahead of the curve in this rapidly evolving field.
UPES
Master’s Degree, Artificial Intelligence
January 1, 2013 – January 1, 2015
Karunya Institute of Technology and Sciences
Bachelor’s Degree, Electronics and Instrumentation Engineering
January 1, 2007 – January 1, 2011
FactSet
Lead Machine Learning Engineer
September 1, 2024 – Present
London Area, United Kingdom · Hybrid
Semantic Evolution
Machine Learning Engineer
October 1, 2021 – September 1, 2024
United Kingdom
Stanford University
Visiting Scholar
May 1, 2019 – June 1, 2020
United States
Mindtree
Senior Research Engineer (Machine Learning)
August 1, 2018 – October 1, 2021
Mindtree
Module Lead
August 1, 2017 – August 1, 2018
Mindtree
Senior Software Engineer, Machine Learning
March 1, 2016 – May 1, 2017
Bangalore,India
Wipro
Project Engineer
August 1, 2011 – March 1, 2016
Cultural Fit Analysis
The candidate has a strong background in AI/ML research and development across multiple companies (Wipro, Mindtree, Semantic Evolution, FactSet) and academic institutions (Stanford University). This indicates adaptability and a drive for continuous learning. However, the target role is 'Backend Engineer', which is a significant pivot from a pure Machine Learning Engineer profile. While ML engineers often have backend skills, the resume does not explicitly detail backend development experience (e.g., specific programming languages like Java/Python for backend, frameworks like Spring/Django, database experience, API design, microservices). This lack of direct alignment with a general 'Backend Engineer' role suggests a potential cultural fit challenge if the role is not heavily focused on ML model deployment and integration.
Soft Skills & Operational Fit
The candidate's resume highlights progression into leadership roles (Lead Machine Learning Engineer, Technical Lead, Module Lead), suggesting strong operational fit and potential for mentoring. The description of working on Wipro's AI platform and designing information retrieval systems indicates problem-solving and system-thinking abilities. However, without specific project details or direct soft skill assessments, a comprehensive evaluation of communication, teamwork, and stress handling is limited.