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AI Engineer with less than a year in Python, Machine Learning, and Data Analysis
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Recent and detail-oriented Computer Science graduate with expertise in Python development, data analytics, and machine learning. Proficient in Python, SQL, Power BI, and ML frameworks for building and deploying data-driven applications. Experienced in AI automation, deep learning (ANN, CNN, RNN), NLP, and computer vision, with deployed projects including YOLOv5 object detection, stock price prediction (LSTM, XGBoost), and chatbot automation using N8N and Google Gemini API. Passionate about applying GenAI, MLOps, and Agentic AI to develop intelligent, scalable, and real-world solutions.
Sri Vasavi Institute of Engineering and Technology
BACHELOR OF ENGINEERING (B.E.) · COMPUTER SCIENCE & ENGINEERING
August 1, 2021 – June 30, 2025
Pavitra Co-operative Junior College
INTERMEDIATE (MPC)
June 1, 2019 – May 31, 2021
Sri Chaitanya School
SSC (10th Standard)
June 1, 2018 – May 31, 2019
ICT Academy - Infosys Foundation Finishing School for Employability Program
Data Analytics Intern
October 1, 2024 – November 30, 2024
India
AI-POWERED WORKFLOW CHATBOT USING N8N AND GOOGLE GEMINI API
October 1, 2025 – October 31, 2025
Developed an intelligent chatbot leveraging the N8N automation platform integrated with the Google Gemini API to deliver context-aware, conversational responses. Designed end-to-end automated workflows for data collection, intent recognition, and dynamic response generation using APIs and event triggers. Enhanced user engagement by enabling AI-driven natural language understanding and real-time automation, streamlining query handling and decision-making processes.
REAL-TIME OBJECT DETECTION AND CLASSIFICATION USING YOLOv5
September 1, 2025 – September 30, 2025
Built and deployed a real-time object detection system using the YOLOv5 deep learning model. Trained and fine-tuned the model on custom datasets for accurate multi-class object detection. Integrated OpenCV for live video processing, achieving high accuracy with optimized inference speed.
STOCK MARKET MONITORING & PRICE PREDICTION USING ML & TIME SERIES
January 1, 2025 – March 31, 2025
Built a predictive system using ARIMA, LSTM, and Sentiment Analysis for stock price forecasting. Processed historical data using Pandas and NumPy, and visualized results with Power BI. Implemented deep learning models with TensorFlow for trend prediction.
SPOTIFY TOP HIT PLAYLIST ANALYSIS
October 1, 2024 – November 30, 2024
Cleaned and structured raw data using Microsoft Excel. Designed interactive dashboards in Power BI to analyze trends and song popularity. Provided insights on user preferences and Spotify's cultural.
Employability Skills Certification
ICT Academy & Infosys Foundation
June 1, 2026 – Present
Full Stack Data Science & AI
Naresh I Technologies
June 1, 2026 – Present
Certified Python Programming Associate certificate
CerifyCore
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from academic stock prediction to personal object detection and chatbot development, indicates a broad interest in AI applications. The target role of 'AI Engineer' aligns well with the candidate's demonstrated skills and project focus. The breadth of skills across ML, Deep Learning, NLP, and Computer Vision suggests adaptability and a willingness to explore different facets of AI, contributing positively to cultural fit within an innovative team.
Soft Skills & Operational Fit
The candidate lists 'Communication skills', 'Problem solving', and 'Critical Thinking' as soft skills. Project descriptions indicate an ability to translate technical work into insights, which supports problem-solving and communication. The academic and personal projects suggest a proactive and self-driven approach to learning and application, which is beneficial for operational fit.