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AI Engineer with 1+ years in Deep Learning & Computer Vision
Highly motivated and results-driven student pursuing a Bachelor of Technology in Automation & Robotics with a strong foundation in AI/ML. Proven ability to develop innovative solutions in deep learning, computer vision, and large language models, as demonstrated through impactful projects like an AI Financial Analyst Copilot, Smart Traffic Control System, and Medical Image Disease Detection. Eager to leverage comprehensive technical skills in Python, TensorFlow, PyTorch, and various AI/ML frameworks to contribute to cutting-edge engineering challenges.
MES Wadia College of Engineering
Bachelor of Technology · Automation & Robotics
August 1, 2022 – June 30, 2026
Deogiri College
HSC
June 1, 2021 – May 31, 2022
Little Flower High School
SSC
June 1, 2020 – May 31, 2021
Medical Image Disease Detection using Deep Learning
January 1, 2026 – Present
Developed an end-to-end deep learning application for automated disease detection from chest X-ray images using transfer learning models such as ResNet50 and EfficientNet. Implemented image preprocessing, data augmentation, model training, and evaluation using Accuracy, Precision, Recall, F1-score, ROC-AUC, and Confusion Matrix to achieve reliable classification performance. Integrated Explainable AI using Grad-CAM for prediction visualization and built a FastAPI + Streamlit web application with prediction history, Docker containerization, and cloud deployment support.
AI Financial Analyst Copilot
January 1, 2025 – Present
Developed an AI-powered financial analysis copilot that leverages Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) to provide intelligent insights from annual reports and financial statements. Built a financial ratio analysis engine, AI-driven investment recommendation system, forecasting module, and risk detection framework to support data-driven investment decisions. Integrated a natural language financial chatbot capable of answering queries about company performance, generating annual report summaries, extracting key financial metrics, and delivering context-aware insights using vector embeddings and semantic search.
Smart Traffic Control System
January 1, 2025 – Present
Developed an AI-powered smart traffic control system that detects emergency vehicles and dynamically prioritizes traffic signals to enable faster and safer passage through intersections. Implemented real-time emergency vehicle detection using Computer Vision techniques with OpenCV and deep learning models, integrated with IoT-enabled traffic signal controllers. Designed an adaptive traffic signal algorithm that automatically extends or switches green lights for emergency vehicles while optimizing overall traffic flow based on real-time traffic conditions.
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest and practical application in diverse AI domains, including finance, smart cities (IoT/Computer Vision), and healthcare. This breadth of interest aligns well with an innovative and research-driven AI engineering culture. The use of various modern AI technologies and frameworks suggests a willingness to learn and adapt. However, all projects are academic, and there is no professional experience, which limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and problem-solving approach, tackling complex real-world scenarios like financial analysis, traffic control, and medical image diagnosis. The academic nature of projects suggests a strong learning aptitude and ability to apply theoretical knowledge. However, without direct work experience or psychometric test results, it's difficult to assess communication, teamwork, or stress handling under professional pressure.