I am currently pursuing a BTech in Computer Science and Engineering with a specialization in Artificial Intelligence at Bennett University, Greater Noida, India. I have a passion for applying machine learning and deep learning techniques to solve real-world problems, particularly in the domains of legal tech, healthcare, and data analysis.
My technical expertise includes a range of programming languages, frameworks, and tools, which I have used to successfully implement and deploy AI-driven solutions.
Skills
Programming Languages: Python, C++, Java, JavaScript, SQL
Frameworks & Libraries: TensorFlow, PyTorch, Scikit-learn, OpenCV, Flask
Tools: GitHub, MySQL, HTML, CSS
Technical Expertise: Deep Learning, Machine Learning, Data Structures and Algorithms
Soft Skills: Research, Problem Solving, Design Thinking, Leadership
Work Experience
AIQUANTUM Smart Solutions Pvt. Ltd.
Machine Learning and Deep Learning Intern
May 2024 - July 2024
Developed deep learning algorithms for liver cancer detection from histopathology images.
Worked on various industry-related projects, focusing on medical image processing, satellite data analysis, and computer vision applications.
Projects
LawSage.AI
July 2024 - September 2024
Created a web-based platform using LLMs, PyTorch, SQL, Flask, and JavaScript for streamlining legal research.
Implemented a PDF parsing system to extract, summarize, and simplify legal documents and court judgments.
NeuralVision
February 2024 - April 2024
Developed a deep learning-based tool for the automated diagnosis of pneumonia using CNNs and pre-trained models.
Conducted empirical analysis of models and deployed the most accurate one using Streamlit.
DPWA (Diabetes Prediction Web Application)
January 2024 - April 2024
Built a machine learning system for predicting diabetes and forecasting blood glucose levels using ARIMA, LSTM, and other time series models.
Deployed the model with Streamlit for interactive data visualization and real-time predictions.
Achievements
Hack-Wars Hackathon (CU): Ranked in the Top 50 across India out of 1500+ teams.
Certifications:
DeepLearning.AI TensorFlow Developer
IBM Exploratory Data Analysis for Machine Learning with Honors
DeepLearning.AI Probability & Statistics for Machine Learning & Data Science
University of California San Diego Data Structures
IBM Unsupervised Machine Learning
Projects
KITAAB (Donation of Books)
Kitaab: Share the love of reading, one book at a time.PHP, HTML, Visual Studio Code, CSS, MySQLREADOFY : Read What Is True
Unmasking Truth: Empowering Minds with the Fake News DetectorVisual Studio Code, CSS, Flask, Python, HTML5HemoVeda: AI-Powered Anemia Detection Web App
Over 50% of Indian women suffer from undiagnosed anemia due to limited healthcare access. Early, non-invasive detection is vital to prevent severe health issues and ensure timely intervention.JavaScript, Flask, TensorFlow, PyTorch, OpenCV, Python, Kaggle, HTML/CSSSkills
Experience
- AIQuantum Solutions Pvt. Lmt. - Machine
- AIQuantum Solutions Pvt. Lmt. - Machine Learning and Deep Learning InternMay 2024 - July 2024
Developed Deep Learning Algorithms for Liver Cancer Detection from Histopathology Image.
Under guidance of mentor, worked on projects related to Industry applications with focus on
Medical Image Processing, Satellite Data Analysis and Computer Vision.