Abhisek Guha

Hyperworks Imaging

Raipur, india

Since June 27, 2025

Skills

PythonAI EngineersGit-GitHubHTML5Data Visualization DesignersPower BIDocker / KubernetesAutomation TestingWireframing & PrototypingStartup DevelopersMysqlAPI Integration

Experience

Hyperworks Imaging

Machine Learning Engineering Intern

January 1, 2025 – Present

National Institute of Technology, Raipur

AI/ML Research Intern

September 1, 2024 – December 1, 2024

Raipur, India

Shoonya Technologies

Computer Vision Intern

June 1, 2024 – September 1, 2024

Key Strengths

Exceptional practical experience with cutting-edge AI/ML models including Vision-Language Models (VLMs), Generative Adversarial Networks (GANs), Diffusion Models, YOLO, Qwen-VL, ViT, and LLMs with RAG, highly relevant for an AI Engineer role.
Strong proficiency in deep learning frameworks (TensorFlow) and programming languages (Python, C++), demonstrated through diverse projects and internships.
Proven ability in MLOps practices, including model deployment on cloud platforms (Azure, Docker, Google Cloud) and optimizing models for low-compute, high-performance, and real-time applications.
Demonstrated problem-solving skills applied to complex challenges across various domains such as OCR, text-to-image generation, waste sorting, cybersecurity (side-channel attacks), and medical diagnostics.
Experience in team leadership and collaboration, evidenced by leading a team of seven and successful participation in multiple hackathons.
Active engagement in hackathons and certifications in Generative AI and Cloud Computing indicate a proactive learning attitude and commitment to the field.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data from psychometric test (score 0). Based on the resume, the candidate's experience includes leading a team and participating in collaborative hackathons, suggesting a positive inclination towards teamwork and contribution to a collaborative work culture.

Soft Skills & Operational Fit

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Exceptional practical experience with cutting-edge AI/ML models including Vision-Language Models (VLMs), Generative Adversarial Networks (GANs), Diffusion Models, YOLO, Qwen-VL, ViT, and LLMs with RAG, highly relevant for an AI Engineer role.
Strong proficiency in deep learning frameworks (TensorFlow) and programming languages (Python, C++), demonstrated through diverse projects and internships.
Proven ability in MLOps practices, including model deployment on cloud platforms (Azure, Docker, Google Cloud) and optimizing models for low-compute, high-performance, and real-time applications.
Demonstrated problem-solving skills applied to complex challenges across various domains such as OCR, text-to-image generation, waste sorting, cybersecurity (side-channel attacks), and medical diagnostics.
Experience in team leadership and collaboration, evidenced by leading a team of seven and successful participation in multiple hackathons.
Active engagement in hackathons and certifications in Generative AI and Cloud Computing indicate a proactive learning attitude and commitment to the field.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit