About Me
Hello! I'm Akhilesh Y Ragate, currently living in Bangalore and looking forward to contributing to the software field in reputed companies.
I am a recent graduate with a Bachelor of Engineering in Computer Science (CSE) specializing in Artificial Intelligence & Machine Learning (AIML). My academic journey has equipped me with strong programming skills and a solid understanding of various technologies.
I have hands-on experience through internships in AI&ML, worked on projects like "NHIT Road Distress Detection" using computer vision. I am passionate about leveraging machine learning and AI to solve real-world problems.
Outside of my professional pursuits, I enjoy playing and watching Cricket, playing Chess, playing and watching Football, and listening to music.
Experience
AIML & Applications Dev Intern
PlanetEye Infra AI | Bangalore
- Developed an AI/ML-based NDT solution for detecting wall hollowness and internal defects using acoustic & ultrasonic signals.
- leveraging CNN/CNN-LSTM models and advanced audio feature engineering; currently involved in Assessment Management.
- Worked on asset management project "NHIT Road Distress Detection" using AI&ML for detection of highway infrastructure, mainly developed pothole distress detection web and mobile app.
- Developed the app using SAM (segment-anything) ML model that detects potholes overlaying a mask to view the dimensions of distress detected, store Lat-long locations in live capture and upload in PDF option.
Python Data Engineer Trainee Intern
Linkzie Technologies | Bangalore
- Worked with Python, Pandas, PySpark, SQL, data warehousing, ETL/ELT processes, and cloud platforms like AWS and GCP.
- Project 1: "Real-Time Charging Station Utilization and Performance Analytics" - Built serverless ETL pipeline on AWS using S3, Lambda, Glue, and Athena.
- Project 2: "E-commerce Product Data Aggregator and Analyzer" - Python-based system for e-commerce data analysis through RESTful APIs.
Education
Bachelor of Engineering in Computer Science (CSE)
Don Bosco Institute Of Technology | Bangalore
Specialization in Artificial Intelligence & Machine Learning (AI ML)
Skills
Academic Projects
Missile Guidance System
Digital Image Processing, Computer Vision, Neural Networks
Implemented missile detection using ANN with YOLO and COCO configuration in Python.
Exam Preparation App
Android Application Development
Strategy-based exam prep app with subject-wise methods and computerized scheduling.
Online Voting System
Database Management Systems (PHP, SQL)
Voting system using PHP frontend and SQL backend for candidate election.
Stock Price Predictor
Machine Learning (SVM, Random Forest, Logistic Regression)
Financial predictor using technical analysis and ML techniques on historical data.
Kidney Stone Detection
AI/ML (TensorFlow, Keras, CNN)
Neural networks to detect kidney stones ranging from 5mm to 10 inches in diameter.