Chamarti Hareesh Kumar

AI Engineer

https://www.opentalent.in/chamarti-hareesh-kumar

IndiaMember since December 23, 2025

Key Strengths

Exceptional practical experience in Deep Learning, Computer Vision (YOLOv8s, OpenCV), and NLP (GPT-4, LangChain, RAG) with quantifiable impact.
Demonstrated ability to engineer and deploy AI/ML solutions, including Docker-based inference pipelines on AWS EC2, showcasing strong MLOps capabilities.
Proficiency in key ML/DL frameworks (TensorFlow, PyTorch, Keras) and programming languages (Python), essential for an AI Engineer role.
Strong academic foundation with a B.Tech in AI/ML, high GPA, multiple peer-reviewed IEEE papers, and hackathon finalist achievements.
Experience with advanced ML techniques such as LSTMs, GNNs, and hyperparameter tuning, indicating a deep technical understanding.
Excellent match for an AI Engineer role, particularly those involving real-time systems, RAG, or deep learning model deployment.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data to assess cultural fit due to a psychometric test score of 0/500, which suggests the test was not completed or data is missing. Therefore, a percentage score for cultural fit cannot be provided.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit directly from provided psychometric test results (score 0/500). Resume indicates participation in collaborative projects and research, suggesting initiative and teamwork, but this cannot be definitively confirmed without further assessment.

AI is analyzing your overall score…

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Experience

Express Analytics

Data Scientist Intern

December 1, 2024 – Present

Irvine, CA, USA

Intel Corporation

Student Intern

May 1, 2024 – August 1, 2024

Bengaluru, Karnataka, India

Key Strengths

Exceptional practical experience in Deep Learning, Computer Vision (YOLOv8s, OpenCV), and NLP (GPT-4, LangChain, RAG) with quantifiable impact.
Demonstrated ability to engineer and deploy AI/ML solutions, including Docker-based inference pipelines on AWS EC2, showcasing strong MLOps capabilities.
Proficiency in key ML/DL frameworks (TensorFlow, PyTorch, Keras) and programming languages (Python), essential for an AI Engineer role.
Strong academic foundation with a B.Tech in AI/ML, high GPA, multiple peer-reviewed IEEE papers, and hackathon finalist achievements.
Experience with advanced ML techniques such as LSTMs, GNNs, and hyperparameter tuning, indicating a deep technical understanding.
Excellent match for an AI Engineer role, particularly those involving real-time systems, RAG, or deep learning model deployment.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit