AI Engineer with less than a year in NLP, Computer Vision, and Data Visualization.
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AI/ML Intern with foundational experience in developing AI solutions using Python, NLP, and Computer Vision techniques. Proven ability to enhance system accuracy and user engagement through innovative project implementations, including a text/signature authentication model and real-time data dashboards. Eager to leverage strong analytical and technical skills in data science and AI engineering roles.
R.C. Patel Institute of Management, Research and Development, Shirpur
M.C.A · Computer Science and Engineering
August 1, 2025 – June 30, 2027
R.C. Patel Institute of Management, Research and Development, Shirpur
B.C.A · Computer Science and Engineering
August 1, 2022 – June 30, 2025
Edunet Foundation | Collaboration with Microsoft
AI/Ml Intern
November 1, 2025 – December 31, 2025
India
Signature Authentication Model
January 1, 2026 – June 1, 2026
Developed and Deployed an AI-powered Text/Signature Authentication Model using FastAPI on Render, integrating 5+ validation techniques including SSIM, ORB Feature Matching, Pixel Analysis, OCR, and AI-based similarity scoring to achieve up to 93% authentication accuracy. Integrated Google Cloud Vision API and DeepAI Image Similarity API for automated OCR text extraction improving verification reliability and reducing manual validation effort by 70%. Engineered an optimized Computer Vision pipeline using OpenCV, NumPy, and scikit-image with preprocessing, edge detection, skeletonization, and 500+ ORB keypoint extraction, enabling real-time authentication responses within a few seconds.
Live Weather Forecast System
January 1, 2025 – December 31, 2025
Developed a real-time weather forecasting dashboard in Microsoft Power BI by integrating live data from OpenWeather API, enabling dynamic monitoring of temperature, humidity, wind speed, and weather conditions. Processed and visualized 500+ live weather records using Power Query, REST API integration, and DAX calculations, improving reporting automation and reducing manual data handling effort by 40%. Designed interactive KPI cards, geo-visualizations, and responsive dashboards with automated refresh functionality, reducing dashboard refresh latency by 30% and enhancing real-time weather analysis.
View ProjectRetail Sales & Customer Insights Dashboard
January 1, 2024 – December 31, 2024
Analyzed 500K+ retail sales records using Microsoft Power BI and identified sales trends that could help improve overall business revenue by 15-20% through data-driven decision-making. Conducted time series and sales trend analysis that helped identify peak sales periods, contributing to potential 12% improvement in inventory planning. Built a Top 10 revenue-generating countries analysis by combining sales revenue and quantity metrics, delivering country-wise performance insights to support CMO-level strategic decision-making.
View ProjectCultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying AI/ML concepts. The internship at Edunet Foundation in collaboration with Microsoft shows an interest in practical application and industry exposure. The projects cover diverse areas within AI (NLP, Computer Vision) and data analysis (Power BI), indicating a broad interest and adaptability. However, the experience is primarily academic and internship-based, which might require more mentorship in a fast-paced industry environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex technical problems and deliver measurable improvements (e.g., 93% authentication accuracy, 70% reduction in manual validation effort). The internship experience suggests an ability to apply learned skills in a practical setting. However, without direct interaction or psychometric test results, it's difficult to fully assess soft skills like teamwork, problem-solving under pressure, or communication beyond written descriptions.