ML Engineer with less than a year in Machine Learning & Deep Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML graduate with hands-on experience in machine learning, deep learning, and data science through internships and end-to-end project delivery. Proficient in Python, TensorFlow, PyTorch, and Scikit-learn, with practical exposure to MLOps practices including Docker, FastAPI, and CI/CD deployment on AWS. Strong foundation in data preprocessing, feature engineering, model evaluation, and NLP. Seeking an AI/ML or Data Science Engineer role to apply technical skills to real-world problems.
KNS Institute of Technology
Bachelor of Engineering (B.E) · Artificial Intelligence and Machine Learning
August 1, 2021 – June 30, 2025
Rooman Technologies
AI - Machine Learning Intern
September 1, 2024 – February 1, 2025
Bengaluru, Karnataka, India
Global Core Tech
Machine Learning Intern
October 1, 2022 – November 1, 2022
Bengaluru, Karnataka, India
End-to-End Machine Learning with MLOps
June 1, 2026 – Present
• Built a complete ML pipeline covering data preprocessing, model training, evaluation, and inference using TensorFlow and Scikit-learn. • Implemented dataset versioning with DVC and Git, containerized with Docker, and deployed a FastAPI REST API on AWS with CI/CD for automated testing and deployment.
View ProjectAI Image Caption Recommendation System
June 1, 2026 – Present
• Built an image-caption recommendation system using CLIP embeddings to encode images and text into a shared multimodal feature space. • Applied cosine similarity for semantic ranking of captions, enabling accurate caption matching without supervised labels.
Virtual Voice Assistant
June 1, 2026 – Present
• Designed an NLP-based voice assistant in Python with intent recognition, structured response generation, and real-time speech API integration. • Integrated external APIs to enable live command execution and information retrieval.
NCVET Level 5 - Machine Learning Engineer
Rooman Technologies (IBM-Aligned)
June 1, 2026 – Present
AI Machine Learning Engineer
Skill India
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest and initiative in diverse ML applications, including MLOps, NLP, and multimodal systems. The internships align well with an ML Engineer role, showing practical application of skills. The breadth of technologies and project types suggests adaptability and a proactive learning attitude, which are positive indicators for cultural fit in a dynamic technical environment.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experiences suggest an ability to work on complex technical problems independently and as part of a team (e.g., 'Collaborated with IBM-aligned teams'). The focus on end-to-end solutions and best practices indicates a structured approach to development. However, without direct assessment data on communication or teamwork, this remains an inference.