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AI Engineer with less than a year in Python, ML & Data Analytics
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Assessing your cultural and operational fit
Aspiring AI/ML and Data Science professional with expertise in Python, Machine Learning, Data Analytics, SQL, and Power BI. Passionate about building intelligent solutions, extracting meaningful insights from data, and solving real-world business problems through analytics and AI. Seeking opportunities to apply technical and analytical skills while contributing to innovative, data-driven organizations.
P.P.SAVANI UNIVERSITY
B. Tech · Computer Science & Engineering (AI & Machine Learning)
August 1, 2022 – June 30, 2026
P.P.SAVANI VIDHYABHAVAN
12th STD · GSHSEB
June 1, 2022 – May 31, 2022
Alphabin Tech Consulting
Full Stack Al Engineer
November 1, 2025 – Present
India
DeepDive AI: Intelligent Research & Document Analytics Platform
June 1, 2026 – Present
Developed a Retrieval-Augmented Generation system using FastAPI and QdrantDB to enable semantic search and information retrieval across large document collections. Built data processing ETL pipelines for PDF ingestion, text extraction, embedding generation, and efficient knowledge retrieval. Implemented vector-based search techniques to improve document discovery and contextual question answering. Developed a real-time analytics dashboard to visualize document processing performance, retrieval efficiency, and system usage metrics, enabling data-driven monitoring and optimization.
HealthRisk AI : Multi-Disease Prediction System Using Machine Learning
June 1, 2026 – Present
Developed an integrated machine learning system to predict Diabetes, Heart, and Parkinson's diseases using Scikit-learn, ensuring high accuracy through robust feature selection. Performed data preprocessing, feature engineering, and EDA to improve model performance and prediction accuracy. Evaluated and optimized predictive models using appropriate performance metrics and validation techniques. Developed and deployed a scalable machine learning application using Flask and Python, optimizing data preprocessing and enabling real-time disease risk prediction.
Elite Silver Certification in Data Analytics with Python
IIT Roorkee and Examination under NPTEL
June 1, 2026 – Present
Programming with Python
Michigan University, Coursera
June 1, 2026 – Present
Google Data Analytics
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects showcase a diverse application of AI/ML, from RAG systems to predictive health analytics, indicating a broad interest and ability to tackle different problem domains. Their current role as a 'Full Stack AI Engineer' aligns well with the target role, demonstrating experience in both backend development and AI/ML application. The breadth of technical skills and tools used across projects and experience suggests a willingness to learn and adapt, which is beneficial for cultural fit in an innovative team.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, along with planning and team collaboration abilities. Their adaptability and learning agility are positive indicators for operational fit in a dynamic AI engineering environment. The experience in designing dashboards and analyzing product metrics suggests a user-centric and data-driven approach.