JashwanthKadaru
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JashwanthKadaru

 About Me 

I'm Jashwanth Reddy Kadaru, 20-year old, studying in Bengaluru. I’m skilled in C, C++, Java, Python, and JavaScript, with a strong passion for solving complex problems and building real-world applications. At IIITB, I’ve contributed to key projects like the college’s admission portal "Pravesh" (for live website click here ) and the Library Portal (still in development, I have finished my part).

I’ve also served as a Teaching Assistant for the “Computer Architecture” course, guiding Freshers with projects, exams, and tutorials. I’ve also developed several projects using various programming languages and web frameworks. I’m eager to join the Tech Industry, further expand my skills and embrace new challenges. Always excited to explore new tech stacks, dive deep, & brainstorm !!!

 My Education 

Starts Here

school Narayana E-Techno School

location_on Hyderabad, Telangana

timelapse 2 Years (IX, X)

assignment 10th result: 96%

school Narayana Junior College

location_on Hyderabad, Telangana

timelapse 2 Years (11th, 12th)

assignment 12th result: 96%

school IIIT Bangalore

location_on Bengaluru, Karnataka

timelapse 5 Years (i-MTech CSE)

assignment CGPA: 3.42/4

Present

2017
2019
2021
2024

Languages

Frameworks, Libraries & Databases

Operating Systems

 Skills  &  Attributes 

  • Problem-solving
  • Critical thinking
  • Strong coding
  • Data structures & algorithms
  • Object-oriented programming
  • Web Application development
  • Frontend technologies
  • Backend frameworks
  • Database management
  • Understanding of SE principles
  • Collaborative team player
  • Effective verbal and written communication
  • Knowledge of Data security & Cryptography
  • Knowledge of Machine Learning
  • Knowledge of Computer Vision
  • Knowledge of Recommendation Engineering

 Work/Scholarship Experience 

2023

Application Portal Development (Pravesh), IIITB

Backend developer (Java, Springboot)

Worked on API routes for candidate application forms, registr- ation, OTP verification, login, and admin authorization & controls. Collaborated with FE team on API integration. Joined the team during backend rebuild from Django to Springboot.

2024

Summer Research Intern, IIITB

Privacy-Preserving Machine Learning, exploring attacks on CryptoEyes

I was selected for the summer research internship program of IIITB. The specific project I worked in focused on privacy preserving classification using cryptography & machine learning, image classification, and exploring attacks on CryptoEyes.

Present

2023

Application Portal Development (Pravesh), IIITB

Backend developer (Java, Springboot)

Worked on API routes for candidate application forms, registr- ation, OTP verification, login, and admin authorization & controls. Collaborated with FE team on API integration. Joined the team during backend rebuild from Django to Springboot.

2024

Summer Research Intern, IIITB

Privacy-Preserving Machine Learning, exploring attacks on CryptoEyes

I was selected for the summer research internship program of IIITB. The specific project I worked in focused on privacy preserving classification using cryptography & machine learning, image classification, and exploring attacks on CryptoEyes.

Present

Summer Research Intern, IIITB

Privacy-Preserving Machine Learning, exploring attacks on CryptoEyes

Actively applying for internships

I was selected for the summer research internship program of IIITB. The specific project I worked in focused on privacy preserving classification using cryptography & machine learning, im

 Portfolio Projects 

I have developed numerous projects over the years, spanning academic, professional, and personal interests. Below are some of my best solo projects, showcasing my commitment to continuous learning and growth. Each project represents my dedication to honing my skills and preparing for the challenges ahead in my internship journey.

Vehicle Tracking using YOLOv8/SIFT

Project description : created a pipeline that tracks vehicles in a video, using bboxes.

Aim: to create a pipeline that uses SIFT/SURF to extract descriptors & Yolov8/RCNN to detect vehicles in frames and draw bounding boxes around them. Also, identifies vehicles by class type. Used OpenCV for SURF, used a open-source implementation for SIFT, and used TensorFlow and hugging face modules for loading pre-trained YOLOv8 model.

Languages/Libraries: Python, OpenCV, Tesnsorflow, joblib, hugging face

Category: AI/ML

Movie Recommendation System

Project description : created a recommendation system for movies using CF, SVD, & Kmeans.

A practical recommendation system to recommend movies based on user history, based on techniques like user-based Collaborative Filtering, item-based Collaborative Filtering, SVD (Singular Value Decomposition) and KMeans clustering to identify clusters users & movies with similar tastes. UBCF, IBCF, SVD, KMeans were implemented from scratch using numpy in python

Languages/Libraries: Python, NumPy, pandas

Category: AI/ML

Blog Recommendation System

Project description : created a recommendation system for rich-text blogs using NLP, BERT, and MAB, LDA.

A generic Blog recommendation system trained on manually web-scraped codeforces blog dataset, to recommend blog. The system uses LLM BERT, & python libraries Spacy, Gensim along with KMeans to make recommendations based on user history. The second half uses N-Grams, LDA & Multi Atm Bandit to make real-time recommendations based on user selection.

Languages/Libraries: Python, NumPy, pandas

Category: AI/ML

Library Portal

Project description : website to maintain library documents, papers, and books info.

IIITB Library Portal, website to maintain library documents, papers, and books info. Uses: Node, Typescript, Express JS, Mongoose, MongoDB, Multer, and other npm packages.

Languages: Javascript, NodeJS, React, HTML, CSS.

Category: Web Development

Fleet Management System

Project description : an application to manage fleet & schedule trips

Implemented a system for scheduling and assigning truck orders, enhancing efficiency and reducing costs. Used ML to predict truck status based on trip metrics and sensor data. Implemented role-based access.

Languages: Javascript, NodeJS, React, HTML, CSS.

Category: Web Development

Your Blogger

Project description : A blogger for people to write about new ideas, projects, and share whatever that comes to their mind.

A blogger for people to write about new ideas, projects, and share whatever that comes to their mind and be a go-to platform for people looking for interesting reads. Built using HTML, CSS, Node JS. (not for actual use.)

Languages: Javascript, NodeJS, React, HTML, CSS.

Category: Web Development

Online Retail Store OS Project

Category : project description

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Languages:

Distributed System YAGO Dataset

Project description: a distributed NoSQL triple store

Developed a distributed NoSQL triple store capable of dynamically accommodating multiple servers for managing Yago dataset triplets. Used Master-Slave architecture \& implemented sharding, replication, load balancing (multiple strategies), dynamic scaling, fault-tolerance,

TechStack: Python, Flask, MongoDB, PostgreSQL, SQLite3

Outbreak Observer (DBMS)

Project description: A collection of tables to keep track of infections in Campus

This is a project that was implemented as part of the Database Lab course at IIIT-B. The domain given to us is covid-19 and we made the software Outbreak Observer , which helps colleges manage the Covid-19 related information of students present in the college, using RDBMS relations.

TechStack: Java, JDBC, MySQL, MySQL JDBC connector

 Contact  Me 

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