Hemank Patwal

Delhi, IN.

About

Work

Sense BackAI
|

Front-end Developer Intern

Highlights

Gained hands on experience with core elements of frontend development using Next.Js and Typescript

Refined and optimized components, leveraging logical functions to enhance product functionality and seamlessly integrate backend APIs into frontend, resulting in a 40reduction in loading time and improved overall user experience.

Education

Maharaja Agrasen Institute of Technology

Bachelor of Technology

Artificial and Data Science

Awards

Certificate

Awarded By

Acmegrade

Gained expertise in key ML concepts such as supervised and unsupervised learning, regression, classification, and clustering, working with datasets of up to 500,000 records. Developed machine learning models using Python libraries (Scikit-learn, TensorFlow, Keras), achieving model accuracy improvements of 20% on validation sets. Fine-tuned model parameters and performed cross-validation to optimize performance, achieving a 15% reduction in overfitting and improving precision and recall by 10%

Certificates

Machine Learning

Issued By

Acmegrade

Skills

Languages

Python, SQL (Postgres), JavaScript, HTML/CSS, Typescript, Tailwind CSS.

Frameworks

React.js, Next.js, Django, FastAPI, Bootstrap, Rest.

Developer Tools

Git, Github, Google Collab, VS Code, Visual Studio, PyCharm, IntelliJ, Jupyter Notebook.

Libraries

Pandas, NumPy, Matplotlib, Scikit-learn, Seaborn, TensorFlow, Keras, PyTorch, Material-UI.

Projects

Blog Site

Summary

Built a blog site as a personal project while learning Django, supporting 100+ active users.

Multilingual FAQ System

Summary

Built a multilingual FAQ backend with Django and REST Framework, supporting English, Hindi, and Bengali for 1,000+ entries using Google Cloud Translation API.

LinkedIn DM Prioritizer Tool

Summary

Built Python tool using NLP, Pandas, NumPy to prioritize 50-100 LinkedIn DMs with 90% accuracy.