Urban Air Quality Toolkit
Developed an interactive toolkit for detecting urban pollution hotspots using crowdsourced data, real-time path analysis, and Tableau visualizations.
Vishal Sharma
Computer Science Student | AI & Data Science Enthusiast | Java | Spring Boot | Tableau | Postgresql | Azure AI-900 Certified
Delhi, IndiaArtificial Intelligence and Software Development
3roles
37skills
3education
9credentials
About
B.Tech CSE student skilled in Java, Python, machine learning, computer vision, backend development, APIs, and cloud platforms.
Experience
Python Developer Intern
OctaNet Services Pvt Ltd.
2 mos · New Delhi, Delhi, India
Intern
Octanet Pvt. Ltd.
May 2024 – June 2024
Developed an ATM model in Python using object-oriented programming for modularity and scalability; optimized performance, saving 15 hours of work time.
Trainee
Unique Training Solutions
October 2024 – November 2024
Earned Azure AI Fundamentals 900 certification and completed self-paced and instructor-led training.
Education
The NorthCap University
B.Tech, Computer Science and Engineering
2022 - 2026
Doon Public School
Class XII (CBSE)
2011 - 2021
Aggregate: 82%
Doon Public School
Class X (CBSE)
2018 – 2019
Aggregate: 76%
Skills
TableauPython (Programming Language)MavenPostgreSQLHibernateSpring FrameworkCore JavaMySQLJava Database Connectivity (JDBC)JavaMicrosoft Azure Machine LearningData ScienceJava SwingMachine LearningAiPythonSupervised LearningUnsupervised LearningConvolutional Neural Networks (CNN)Computer VisionOpenCVModel TrainingModel ValidationModel EvaluationFeature EngineeringData PreprocessingFastAPIStreamlitObject-Oriented ProgrammingData Structures and AlgorithmsJDBCGitMicrosoft AzureAWSLangGraphGoogle Calendar APILSTM
Projects
Conversational AI Calendar Booking Agent
Built a conversational AI agent using FastAPI, LangGraph, and Streamlit to schedule meetings on Google Calendar through natural language input. Integrated the Google Calendar API for real-time appointment booking and retrieval, with intent recognition and slot filling.
WorkGuardAI – Excavation Monitoring (CV & ML)
Built an OpenCV pipeline to extract frames from video data for machine learning inference and assisted in training and validating vision-based models for site monitoring.
Hybrid Deep Learning for Stock Trend Reversal
Trained CNN models for pattern detection in financial time-series data, performed preprocessing, feature engineering, and evaluation, and contributed to a hybrid CNN-LSTM ensemble approach.