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C. V. Raman Global University
AI Engineer
AI Engineer with less than a year in machine learning and backend systems.
C. V. Raman Global University
India
AI & ML-focused Computer Science student with strong foundations in machine learning, data analysis, and backend systems. Built ML models, automated workflows, and deployed scalable applications using Python. Experience with model development, data preprocessing, and experimentation using Jupyter/Colab. Bronze Medalist in Odisha Skills 2025-26.
C. V. Raman Global University
B.Tech · Computer Science Engineering (Specialization in AI & ML)
August 1, 2023 – June 30, 2027
ODM Public School
12th Grade · Science Stream (PCMC)
June 1, 2021 – May 31, 2023
Prodigy Infotech
Full-Stack Web Development Intern
March 1, 2025 – March 31, 2025
Machine Learning & Automation Workflows
April 30, 2026 – Present
Designed and executed ML experiments using scikit-learn on structured datasets (Regression tasks). Achieved up to 85-90% model accuracy on standard ML datasets. Automated data pipelines using n8n for ingestion, preprocessing, and task execution. Built automated ML pipeline for data preprocessing, training, and evaluation using Python scripts.
Movie Recommendation System
April 30, 2026 – Present
Exposed recommendation engine via FastAPI endpoints for real-time predictions Developed a content-based recommender using FastAPI and Scikit-learn with the TMDB dataset. Reduced recommendation latency by ~30% through optimized similarity computations. Implemented TF-IDF + cosine similarity with REST API integration.
View ProjectComplete Full-Stack Web Development
Udemy
April 1, 2026 – Present
Palo Alto Network Security
Coursera
April 1, 2026 – Present
Runner-up, CGU Coding Club Competition
CGU Coding Club
April 1, 2026 – Present
Bronze Medalist, Odisha Skills - Web Technologies
Odisha Skills
January 1, 2025 – Present
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Cultural Fit Analysis
The candidate's psychometric test score is 0/500. This score raises severe concerns about cultural fit, including aspects like work attitude and team collaboration. Based on the provided data, cultural fit is critically deficient.
Soft Skills & Operational Fit
The candidate's psychometric test score is 0/500. This indicates a critical deficiency regarding logical reasoning, work attitude, stress handling, and team collaboration. Based on the provided data, operational fit and soft skills cannot be positively assessed and appear to be critically deficient.