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AI Engineer with less than a year in Machine Learning & Computer Vision.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science undergraduate specializing in Artificial Intelligence and Machine Learning with experience in building and deploying machine learning models. Skilled in Python, data pipelines, NLP, computer vision, and deep learning with a strong focus on real-world problems.
Woxsen University
B.Tech · Computer Science (AI & ML)
August 1, 2022 – June 30, 2026
Proxenix
Data Science Intern
June 1, 2025 – July 1, 2025
India
X-ray 2D to 3D Reconstruction (MiDaS, Trimesh)
July 1, 2025 – Present
Implemented MiDaS-based depth estimation to improve reconstruction accuracy by 27%. Generated 100+ 3D meshes and point clouds for visualization and evaluation. Built a Streamlit-based 3D viewer with mesh rendering latency under 1.2 seconds.
Intelligent Resume Screening and Ranking System
August 1, 2024 – November 1, 2024
Designed an AI-driven resume screening system using NLP and machine learning techniques. Implemented text preprocessing, feature extraction, and classification models for candidate ranking. Automated resume scoring to support faster and more consistent hiring decisions.
Bank Forms Automation (OCR and Classification)
March 1, 2024 – March 1, 2024
Built OCR pipelines for 500+ scanned documents with 92% text accuracy. Trained classification models achieving 95% accuracy across form categories. Reduced manual verification workload by 50-60%.
Finalist / Participant - TechVortex
Symbiosis Institute of Technology (Pune)
June 1, 2026 – Present
Participant - Socialis Impulsum
IIT Madras
June 1, 2026 – Present
Top 10 Finalist CodeClash
VIT Vellore
June 1, 2026 – Present
Participant - Quant Quest
IIIT Nagpur
June 1, 2026 – Present
Tata Data Analytics Virtual Experience
Forage
January 1, 2024 – Present
Machine Learning
Stanford University - Coursera
January 1, 2024 – Present
Applied Data Science with Python
University of Michigan - Coursera
January 1, 2023 – Present
Python for Everybody
University of Michigan - Coursera
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic background in Computer Science (AI & ML) and diverse personal projects (3D reconstruction, resume screening, OCR automation) align well with an AI Engineer role, demonstrating initiative and a passion for the field. Participation in multiple hackathons and competitions suggests a proactive, collaborative, and challenge-seeking mindset, which generally contributes positively to cultural fit in innovative tech environments. The breadth of skills and exposure to various AI domains indicate a willingness to learn and adapt.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving skills and a results-oriented approach (e.g., quantifiable improvements in accuracy and efficiency). Participation in hackathons suggests teamwork and competitive drive. The remote internship indicates adaptability and self-management. However, without direct assessment, specific soft skills like leadership, conflict resolution, or advanced communication in a team setting cannot be fully evaluated.