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AI Engineer with 7+ years in Deep Learning & Data Science
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Data Scientist and Test Engineer with 7+ years of experience in building, testing, and deploying NLP models and software solutions to drive business impact. Skilled in leveraging deep learning techniques (LSTMs, Transformers) and statistical methods to improve performance metrics, achieving a 30% increase in case resolution efficiency and a 20% boost in sentiment analysis accuracy. Proficient in the full data science lifecycle, software testing using frameworks like Jest, JUnit, and Mocha, and development in Java and JavaScript.
University of North Texas
Master of Science · Artificial Intelligence
August 1, 2021 – June 30, 2022
Vaagdevi College of Engineering
Bachelor of Technology · Electronics and Communications Engineering
August 1, 2014 – June 30, 2018
WisenIT
Gen AI /NLP Engineer
January 1, 2023 – February 1, 2025
Texas, USA
University of North Texas
Graduate Research Assistant
September 1, 2021 – December 1, 2022
Texas, USA
Cigniti Technologies
Test Engineer / AI-ML Consultant
March 1, 2018 – August 1, 2021
India, India
Machine Learning with Python
Unknown
June 1, 2026 – Present
British Airlines Data Science Simulation
Unknown
June 1, 2026 – Present
Cognizant AI Simulation
Unknown
June 1, 2026 – Present
ML with Apache SystemML
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience spans academic research, AI/NLP engineering, and test engineering/AI-ML consulting, demonstrating adaptability and a broad skill set. The involvement in hackathons and as an IEEE Student Network Representative suggests a proactive and collaborative mindset. The diverse project experience, from HR inquiry systems to medical diagnostics and credit risk assessment, indicates a willingness to tackle varied challenges, which aligns well with a dynamic work environment. The certifications, though lacking detail, show a commitment to continuous learning.
Soft Skills & Operational Fit
The candidate's resume highlights leadership in designing and deploying AI models, collaboration with business users to resolve defects, and advocacy for collaborative growth. These indicate strong operational fit and soft skills relevant for a senior role, including problem-solving, teamwork, and initiative. The descriptions of improving HR inquiry accuracy and reducing response times suggest a results-oriented approach.