Anshit | Home

Hi I'm Anshit

I'm fluent in multiple programming languages and occasionally stumbling over words when asked to describe myself. Currently pursuing a Master’s in Computer Science at Binghamton University, I’m driven by an insatiable curiosity, an average dependency on caffeine, and a knack for tackling complex problems. My primary interests lie in software development, cloud computing, and machine learning. Most often, you'll find me immersed in code or exploring research papers, always on the hunt for the next project or skill to master.

I firmly believe that every day brings an opportunity to learn and grow. Whether it’s diving into cutting-edge technologies or collaborating on impactful solutions, I thrive on challenges that push the boundaries of my knowledge. If you’re looking for someone who’s passionate about innovation and eager to contribute, feel free to reach out!

Software Engineering
Machine Learning
Web Development
Cloud Computing

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0 Aggregate GPA

0 Projects

0 Years Experience

Skills

As a passionate computer science enthusiast, I thrive on turning complex problems into elegant solutions while keeping my sanity intact amidst cryptic bugs and compiler warnings. My journey, marked by innovation and a knack for overcoming challenges, reflects my commitment to both growth and excellence.

Research Analysis95%

Machine Learning90%

AWS92%

Web Development88%

C/C++

Java

JavaScript

Python

TypeScript

DBMS

DS & Algorithms

OOP

OS

Git

MongoDB

MySQL

Next.js

Node.js

Tailwind CSS

RHCSA

Qualifications

B.Tech in Information Technology

MIT-ADT University, Pune, India

DBMS, DSA, OS
Distributed Systems, Computer Networks
Computer Vision, AI
CGPA: 8.3

Master of Science in Computer Science

SUNY Binghamton, New York

Design and Analysis of Algorithm
Programming Languages
Computer Security
Systems Programming
Machine Learning
GPA: 3.8

Portfolio

Paraphrase Identification

Engineered a machine learning system to detect sentence similarity, trained on a dataset of 400,000+ sentences pair, enabling users to select the most suitable model (CNN, RNN, MAN) based on semantic complexity and accuracy.

Attained accuracy rates of up to 81% across CNN, RNN, and MAN models, providing effectiveness across diverse sentence semantics and enhancing user decision-making through comparative model performance.

Integrated and evaluated advanced neural network architectures, contributing to improved performance in NLP tasks

GitHub Repository

Care For U

Enabled users to set personalized reminders for timely medication intake.

Provided actionable health advice to users regularly, promoting a healthier lifestyle.

Implemented real-time navigation for locating hospitals based on the user’s current location.

Designed a search feature to provide comprehensive details about medicines, including symptoms treated, diseases cured, and their ingredients.

Fetched first aid information from a remote database with an 'offline save' feature, ensuring accessibility during emergencies.

GitHub Repository

Accu-Science

Designed and developed an Android application to assess mental health through interactive quizzes, analyzing user responses to provide personalized feedback.

Offered instant evaluation of mental health status, identifying signs of depression and delivering actionable recommendations for improvement.

Integrated motivational quotes and a dynamic mindful reading section that refreshes with each use, fostering a supportive environment for mental wellness.

Simplified mental health self-assessment, ensuring accessibility and user-friendliness, and contributed to advancing mental health awareness.

GitHub Repository

SAHAYAK

Created an AI-powered mobile application for efficient city maintenance, reducing manual reporting effort by 50%.

Streamlined the reporting process by automating the classification of grievance types using a machine learning model and routing grievance report to the nearest location, resulting in a 60% reduction in processing time.