APS Portfolio

👋 Hello, I'm

Pavan H Bhakta

Computer Science Engineering Student specializing in building intelligent systems using Machine Learning and modern full-stack technologies to solve real-world problems

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// Efficiently processes challenges through analysis, design, implementation, and optimization
function solveComplexProblems(challenge) {
  const optimizedSolution = analyze(challenge)
    .then(designAlgorithm)
    .then(implement)
    .then(optimize);
    
  return optimizedSolution;
}

Working With

Full Stack Development

Building scalable web apps with Next.js, React frontends, and Node.js backends, delivering secure, fast, and seamless user experiences

Machine Learning

Building Vision and NLP models with PyTorch and TensorFlow for computer vision and natural language processing applications.

Backend Development

Developing robust APIs, database architectures, and server-side logic with Express, Python Flask, and cloud services.

Web Design

Crafting intuitive and responsive interfaces with modern CSS frameworks, animations, and user-centric design principles.

About Me

Technical Expertise

Programming Languages

C++ Python JavaScript Java

Web Technologies

React.js Node.js HTML/CSS REST APIs Express.js MongoDB

Machine Learning

PyTorch OpenCV Scikit-learn Hugging Face TensorFlow & Keras

Portfolio Details

Course Algorithmic Problem Solving

SRN 01FE22BCS175

Instructor Prakash Hegade

University KLE Technological University

Domain Amazon

My Journey

I am a passionate technologist with a strong foundation in algorithms, data structures, and software engineering principles. My academic journey at KLE Technological University has equipped me with strong fundamentals in computer science, while my personal projects have allowed me to apply these concepts to real-world challenges.

I have a deep interest in full-stack development, system design, and machine learning applying advanced algorithms and data driven techniques to create intelligent applications. I enjoy working with technologies such as Next.js, React, Node.js, Python, and machine learning frameworks to bridge theoretical concepts with practical solutions. Through my projects, I continually strive to innovate and solve complex real-world challenges.

Education

KLE Technological University

Bachelor of Engineering in Computer Science 2022 - 2026

Maintained a CGPA of 9.3/10 through 5 semesters

Solved 500+ problems on LeetCode Codeforces, CodeChef, and other competitive programming platforms

Saraswati PU College

Pre University Education (Class 11 & 12) 2020 - 2022

Scored a rank of 1579 in KCET examination

Achieved 99.6% in Physics, Chemistry, and Mathematics with 96% overall percentage

Marthoma Central School Honavar 2011-2020

Schooling (Class 1 to 10)

Scored 94.6% in Class 10th CBSE examination

Work Experience

NVIDIA

Software Project Intern

October 2024 - May 2025

Key Projects

Virtual Hardware Simulation & Code Analysis

C++ Development

Engineered a bytecode analyzer for Hardware Sequence Language (HSL) that inspects I2C communication and GPIO operations. This tool served as a virtual device simulator, improving testing efficiency for hardware teams by eliminating the need for physical devices during early development phases.

C++ Data Structures Algorithms

LLM Paired Comparison Experiment

Machine Learning Research

Developed an innovative approach using Large Language Models to evaluate image quality through paired comparisons. The project focused specifically on image sharpness assessment, creating a methodology where an LLM could objectively compare image pairs and determine quality differences.

Python Hugging Face Gemini-api

Featured Projects

Applying programming concepts to solve complex challenges across various technical domains

Computer Vision

Traffic Sign Detection Model

Developed a real-time traffic sign detection system using YOLOv11 with a Tkinter-based GUI for live video streaming and recognition. Integrated text-to-speech for audible sign announcements, enhancing accessibility and real-world reliability.

YOLO11 OpenCV Python-Tkinter

Achieved 94% accuracy on the Indian Traffic Sign Recognition Benchmark using YOLOv11.

Built an interactive Tkinter-based GUI for live video stream processing and dynamic traffic sign display.

Full Stack Web Development

QuickEats – Food Delivery Platform

Built a MERN-based food delivery and canteen management platform with real-time tracking, role-based access, and personalized features for seamless ordering and administration

MongoDB Express React Node.js

Secured user and admin access with robust JWT and role-based authorization.

Developed a dedicated Admin Panel to manage menu items, monitor orders, and update order statuses in real time.

Integrated Cloudinary for scalable image management

Computer Architecture

3-Address Indirect Mode Processor

Designed and simulated a 16-bit processor in Logisim with three-address indirect addressing, a 5-stage pipeline, hazard detection, forwarding, and branch prediction for efficient memory access and optimized instruction throughput.

Logisim Comouter Architecture

Designed a fully functional 16-bit processor in Logisim featuring a three-address indirect addressing mode

Implemented a pipelined architecture with hazard detection and data forwarding

For More Projects and Contributions check out my Github :)

Github