Vishal Sharma

Vishal Sharma

B.Tech CSE Student

Gurugram, IndiaArtificial Intelligence and Software Development
2roles
23skills
3education
3credentials

About

B.Tech CSE student with internship experience and project work in Python, machine learning, computer vision, backend development, and AI applications.

Experience

Intern

Octanet Pvt. Ltd.

May 2024 – June 2024

Developed an ATM model in Python using OOP for modularity and scalability; optimized performance, saving 15 hours of work time.

Trainee

Unique Training Solutions

Oct 2024 – Nov 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 (Expected)

Doon Public School

Class XII, CBSE

2020 – 2021

Aggregate: 82%

Doon Public School

Class X, CBSE

2018 – 2019

Aggregate: 76%

Skills

JavaPythonSupervised LearningUnsupervised LearningConvolutional Neural Networks (CNN)Computer VisionOpenCVModel TrainingModel ValidationModel EvaluationFeature EngineeringData PreprocessingFastAPIStreamlitMySQLPostgreSQLObject-Oriented Programming (OOP)Data Structures and AlgorithmsJDBCGitMicrosoft AzureAWSTableau

Projects

Urban Air Quality Toolkit

Developed an interactive toolkit for detecting urban pollution hotspots using crowdsourced data, real-time path analysis, and Tableau visualizations.

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 data preprocessing, feature engineering, and model evaluation; contributed to a hybrid CNN-LSTM ensemble approach.