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ML Engineer with 1+ years in ML, DL & NLP.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Computer Science Engineer with a strong foundation in Machine Learning, Deep Learning, NLP, and Data Engineering. Skilled in Python, Java, SQL, and MLflow, with hands-on experience building scalable ML pipelines, experiment tracking systems, and predictive models. Adept at solving real-world problems through data-driven approaches and currently gaining industry exposure as a Machine Learning Intern.
Haldia Institute of Technology
B.Tech · Information Technology
January 1, 2022 – January 1, 2026
Imperial School of Learning
Class XII · CBSE
N/A – January 1, 2021
Imperial School of Learning
Class X · CBSE
N/A – January 1, 2019
Capsitech
Machine Learning Intern
January 1, 2025 – Present
Jodhpur, Rajasthan, India
Experiment Tracking with MLflow DVC (Reproducible ML)
June 24, 2026 – Present
Designed a cookiecutter ML project template, reducing experiment setup time by 98 percent with automated logging of model parameters, metrics, and artifacts using MLflow. Integrated DVC for dataset versioning and demonstrated reproducible training runs with Logistic Regression and XGBoost.
Data Ingestion & Preprocessing Pipeline
June 24, 2026 – Present
Built data connectors for CSV, JSON, and SQL datasets. Implemented missing value imputation, feature scaling, categorical encoding, and schema validation with Pandera. Ensured reproducibility by integrating DVC for dataset management.
Cultural Fit Analysis
The candidate's projects demonstrate an interest in reproducible ML and data engineering, which aligns well with a data-driven culture. The ongoing internship suggests a willingness to learn and contribute in a professional setting. However, the overall breadth of projects and experience is limited, which might impact adaptability to diverse team needs or rapidly changing project requirements. The candidate is still pursuing a bachelor's degree, indicating an early career stage.
Soft Skills & Operational Fit
The candidate's resume indicates a proactive approach to learning and applying ML concepts, as evidenced by personal projects and an ongoing internship. The description of collaborating with senior engineers suggests an ability to work in a team environment. However, without specific psychometric test results or interview data, a detailed assessment of stress handling, logical reasoning, and team collaboration is not possible.