Amityush nigam

Madhav Institute of Technology and Science

Gwalior , india

Since September 29, 2025

Skills

PythonAI Engineers

Experience

Lockton

Software engineering Project Intern

June 1, 2024 – September 1, 2025

Mumbai, India

Madhav Institute of Technology and Science

Research Intern

May 1, 2024 – Present

Gwalior, India

Madhav Institute of Technology and Science

Summer Intern

May 1, 2023 – June 1, 2023

Gwalior, India

Key Strengths

Demonstrated deep understanding and practical experience in advanced AI/ML/CV techniques, including Neural Architecture Search (NAS), Masked Auto Encoders (MAE), Explainable AI (XAI) with Score-CAM, self-supervised learning, and Vision Transformers (ViT).
Strong programming proficiency in Python and C++, coupled with hands-on experience in key AI/ML frameworks such as TensorFlow, PyTorch, OpenCV, and CUDA.
Proven ability to conduct research, develop novel solutions, and optimize models for resource-constrained environments (e.g., 4GB VRAM for ViT and LLM inference).
Extensive project experience in embedded AI and Robotics, utilizing Arduino, Raspberry Pi, ROS 2, and IoT device management, indicating a strong hardware-software integration capability.
Proactive learning and initiative evidenced by multiple certifications and a diverse portfolio of complex, cutting-edge AI projects, making them a strong candidate for an AI Engineer role focused on research and advanced model development.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 56% indicates an average cultural fit. This suggests that while the candidate may possess foundational attributes, there are areas related to stress handling and team collaboration that could benefit from development to ensure seamless integration and effective contribution within a senior team environment.

Soft Skills & Operational Fit

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Demonstrated deep understanding and practical experience in advanced AI/ML/CV techniques, including Neural Architecture Search (NAS), Masked Auto Encoders (MAE), Explainable AI (XAI) with Score-CAM, self-supervised learning, and Vision Transformers (ViT).
Strong programming proficiency in Python and C++, coupled with hands-on experience in key AI/ML frameworks such as TensorFlow, PyTorch, OpenCV, and CUDA.
Proven ability to conduct research, develop novel solutions, and optimize models for resource-constrained environments (e.g., 4GB VRAM for ViT and LLM inference).
Extensive project experience in embedded AI and Robotics, utilizing Arduino, Raspberry Pi, ROS 2, and IoT device management, indicating a strong hardware-software integration capability.
Proactive learning and initiative evidenced by multiple certifications and a diverse portfolio of complex, cutting-edge AI projects, making them a strong candidate for an AI Engineer role focused on research and advanced model development.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit