Hitesh Reddy Buereddy

Who am I?

I'm Hitesh Reddy, a student passionate about tech and problem-solving. I began with C++, mastering OOP and solving 200+ LeetCode problems, which sharpened my skills in DSA. I expanded into Python, SQL/NoSQL, and tools like Pandas, NumPy, Tableau, and Matplotlib to turn data into insights.

I explored web development with HTML, CSS, JavaScript, React, and Django, building full-stack apps and using Git/GitHub for collaboration. Currently, I'm interning in the field of Generative AI, where I work on large language models, prompt engineering, and building intelligent systems that generate human-like content and solve real-world tasks.

Alongside this, I'm deepening my expertise in machine learning using TensorFlow, Keras, Scikit-learn, and PyTorch. I'm driven by continuous learning and a passion for building impactful, AI-powered solutions as I work toward a software or data-focused role.

Timeline

Jan 2025 - Present

Backend AI Engineer

Congnute Inc.

As part of my role at Cognute, I am responsible for developing a customer support chatbot using Llama 3.3, an advanced language model. The project aimed to improve customer service efficiency by automating responses to customer asked questions, resolving issues, and escalating complex queries.

Sept 2023 - Present

Master's Degree

New Jersey Institute of Technology

I moved from India to the U.S. to pursue my Computer Science degree at NJIT, driven by a passion for technology and innovation. With a 4.0 GPA, I've honed my skills through projects like TimeFlex, Image Classification, and coursework in Machine Learning, Big Data, and Operating Systems.

2022 - 2023

Software Developer

Emerging Computer Arena

I contributed to SNIST's ECA Coding Contest platform by developing both the frontend and backend. Using React for the UI and Django for the backend, I created a seamless, user-friendly interface. The system efficiently handled registrations, submissions, and results processing.

Jan 2020 - Feb 2023

Working Body Member

The Robotics Club

I volunteered for 3 years in the Robotics Club at SNIST, serving as a Technical Coordinator and eventually the Technical Head for the Roboved fest. I contributed to organizing the event, raising funds, and guiding 7 members in building their first robot. Our efforts led to a successful event that fostered technical learning and hands-on experience for participants.

Aug 2019 - June 2023

Bachelor's Degree

Sreenidhi Institute of Science and Technology

I completed my Bachelor's degree in Computer Science from Sreenidhi Institute of Science and Technology with a CGPA of 8.73/10. In addition, I served as a class representative for 2.5 years, collaborating with professors to manage academic activities and address student concerns.

Featured Projects

Artifex

Engineered a full-stack, multi-vendor e-commerce platform from the ground up using the MERN stack, implementing key features like product CRUD operations and distinct user roles for Buyers and Sellers (RBAC)
Planned and built a secure RESTful API with Express.js, creating over 50 endpoints to manage user data, product inventory, and orders while securing the system with JSON Web Token (JWT) authentication
Orchestrated a secure, end-to-end payment workflow by integrating the Stripe API, enabling users to complete transactions and sellers to manage incoming orders, demonstrating proficiency with complex third-party API integration.

Plan Genie

Built Plan Genie, a full-stack productivity app using React.js, Django, and PostgreSQL, enabling users to securely log in and manage personalized TODO lists.
Integrated LLaMA 3.3 to generate AI-powered learning plans based on user-entered topics, with an approval workflow to curate and customize suggested tasks.
Implemented secure user authentication (login/signup) and dynamic task management with real-time updates, providing a personalized and interactive user experience.

TimeFlex Trader

Developed hybrid deep learning models (LSTM & Transformer) for stock price prediction with 96% R² and minimal RMSE
Enhanced predictions using rolling statistics and volatility metrics.
Built a data pipeline for preprocessing and normalization to optimize forecasting performance.

VisionNet

Developed and compared a custom CNN with ResNet-18 on the CIFAR-10 dataset for image classification.
Achieved 80% accuracy with custom CNN and 95% with ResNet-18, demonstrating the efficacy of deeper architectures.
Employed data augmentation and optimization techniques to enhance model performance and generalization.

AgriProtech

Constructed a custom made Convolutional Neural Network (CNN) model for predicting plant diseases based on leaf characteristics which achieved 98% accuracy
Integrated the model into a web application using Flask and HTML, providing users with disease predictions and suggestions for appropriate medicines and pesticides.

Cardiopathie

Designed CNN models (Inception ResNet v2, VGG, ResNet-50) achieving 94% segmentation accuracy on 2400 CT images, classifying calcium-positive and calcium-negative cases using NRRD medical datasets.
Developed a pipeline validated on 20,084 CT scans, achieving >90% precision in calcium score prediction, significantly improving diagnostic speed and reducing manual intervention.
Leveraged TensorFlow and SimpleITK for efficient preprocessing and segmentation, reducing computation time by 30% on 4GB GPU hardware, ensuring scalable clinical deployment.

SkyWeathercast

Component Architecture: The app uses React components like WeatherCard and SearchBar, managing state with useState and triggering API calls via useEffect.
API & Error Handling: Weather data is fetched from weatherapi.com using fetch or axios, with try/catch for error handling.
Geolocation & Storage: The app uses Geolocation API for location-based weather and localStorage to persist user data.

Cocinero

Autonomous Cooking: COCINERO automates food preparation, chopping ingredients, adding seasonings, and mixing them based on user inputs.
Convenience: Designed for busy individuals, it simplifies cooking for working professionals, students, and bachelors.
Focus on Salads: Initially, it automates salad preparation, including cutting, seasoning, and mixing for a tasty dish.

Cognute AI

Cognute Ai

Working on it
Will update once done

Data Analysis using tableau

working on it
Will update once done

ToDo and Chatapp

Todo and chatapp

working on it
Will update once done

Portfolio chatbot

working on it
Will update once done

Skills & Expertise

Python

C++

JavaScript

LLM's

Prompting

AWS

Jenkins

Git/Github

Docker

Django

React

Mysql & PostgreSQL

HTML5

CSS3

TensorFlow

PyTorch

Scikit-Learn

Data Analysis

Let's Connect

I'm always ready to Collaborate and learn from others. Feel free to reach out to me via email or LinkedIn.

buereddyhiteshreddy28@gmail.com

+1 (929)-498-6356

H.A.R.I.S

Hi, I'm H.A.R.I.S, (Hitesh's AI Resource and Information System). What are you searching about hitesh?