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AI Engineer with 1+ years in data analysis, ML model development, and LLM applications
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Assessing your cultural and operational fit
Highly motivated B.Tech Electronics & Telecommunication Engineering graduate with 1.3 years of combined experience in testing, data analysis, and AI/ML development. Proficient in Python, ML algorithms, deep learning, and generative AI frameworks. Proven ability to design workflows, optimize models, and extract actionable insights to improve system performance and reliability.
Deogiri Institute of Engineering and Management Studies
B.Tech Electronics & Telecommunication Engineering · Electronics & Telecommunication Engineering
August 1, 2021 – June 30, 2025
Prime point institute
Data Analyst, Data Science & AI Intern
September 1, 2025 – April 1, 2026
Pune, Maharashtra, India
Precision Power Product
Testing Engineer (Intern)
January 1, 2025 – July 1, 2025
Aurangabad, Maharashtra, India
AI Blog Writer Agent
September 1, 2025 – June 1, 2026
Designed a workflow-driven AI agent using LangChain and LangGraph to manage multi-step blog generation tasks with structured reasoning and modular processing. Utilized transformer-based NLP models (Flan-T5 / DistilGPT2) for blog generation, optimized inference latency, and implemented dynamic inputs, tone control, and download features. Built a Streamlit-based AI Blog Writer that automates structured blog generation from user inputs by implementing a multi-step pipeline (outline → content → refinement → metadata) to enhance coherence and readability.
Credit Card Fraud Detection System
September 1, 2025 – June 1, 2026
Developed a Credit Card Fraud Detection System to address fraud detection in imbalanced financial data, enhancing identification of high-risk transactions and improving model reliability. Built a machine learning-based Credit Card Fraud Detection System using Logistic Regression and Random Forest, achieving ~95% accuracy and improving fraud detection on imbalanced datasets using precision, recall, and F1-score evaluation. Addressed class imbalance through data preprocessing and evaluated model performance using key evaluation metrics to improve detection accuracy and ensure reliable fraud detection.
AI Medical Image Analysis Agent
September 1, 2025 – June 1, 2026
Developed an AI-powered medical image analysis system that generates intelligent diagnostic insights from uploaded medical images using multimodal AI models. Built and deployed a workflow-based AI medical image analysis application with real-time image processing, automated diagnostic report generation, optimized AI inference, and interactive Streamlit-based user experience.
View ProjectData Analytics ChatGPT with Power BI
Aspire for Her & Infosys Foundation
June 1, 2026 – Present
Training Program
Schneider Electric India
June 1, 2026 – Present
Data Analytics Job Simulation
Deloitte
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships show a strong interest in AI and data science, aligning well with an AI Engineer role. The diversity of projects (blog writer, fraud detection, medical image analysis) indicates adaptability and a broad interest in applying AI to different domains. Their involvement in a student forum suggests a willingness to engage and collaborate, contributing positively to team environments.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking, problem-solving skills (e.g., addressing class imbalance), and an ability to organize technical tasks. Their project work indicates a capacity for end-to-end development from model building to deployment. The internship experience in a testing role also suggests attention to detail and debugging capabilities, which are valuable for operational roles.