About Me
Hi,
I’m D Veera Harsha Vardhan Reddy, a Computer Science student at BML Munjal University, deeply passionate about leveraging technology to address real-world challenges and create impactful solutions. With a solid academic foundation and hands on experience across diverse, innovative projects, I am committed to pushing the boundaries of technology and innovation.
My expertise spans Data Science, Deep Learning, Machine Learning, App & Software Development, and Advanced Material Sciences. I have worked on projects ranging from agricultural disease detection to healthcare advancements and chatbots.
For more of my work, check out my GitHub!
Key Skills:
• App Development: Crafting user-friendly applications to solve complex problems efficiently.
• AI, Machine Learning & Deep Learning: Developing intelligent models for decision-making, prediction, classification and object detection tasks using advanced AI techniques, including neural networks and traditional ML algorithms.
• Material Science Research: Exploring new materials and nano-technological applications to enhance sample properties and real-world utility.
Research Interests:
Nano Technology & Material Sciences:
• Exploring new materials and nano-technological applications to enhance sample properties and real-world utility.
• Exploring advanced techniques such as I-V Characterization, XRD, Raman Spectroscopy, SEM, EDX, and UV Spectroscopy for material characterization and optimization. Skilled in deposition techniques like Cathodic Arc and Ion Sputtering to enhance material properties and applications.
Artificial Intelligence:
• AI-driven solutions to optimize processes in agriculture, healthcare, and other critical sectors, focusing on innovative approaches for efficiency and impact.
I am eager to connect with professionals who share my enthusiasm for technology and innovation. Let’s collaborate on transformative solutions and explore exciting opportunities in tech and innovation!
📩 Contact: dveeraharshavardhanreddy@gmail.com
Resume
Education
BML Munjal University | Gurugram, Haryana
Bachelor of Technology in Computer Science (2021 - 2025)
Current CGPA: 8.32
Sri Chaitanya CO-Edn JR College | Vijayawada, Andhra Pradesh
Higher Secondary (State Board) (2019 - 2021)
Marks: 928/1000
The Nandyal Public School | Nandyala, Andhra Pradesh
Secondary Education (CBSE Board) (2019)
Marks: 459/500
Experience
BML MUNJAL UNIVERSITY (CAMD) | RESEARCH STUDENT
May 2024 – Dec 2024 | On-Site
Conducted research on information processing and memory devices for neuromorphic computing. Developed carbon and titanium-nitride thin films using physical vapor deposition techniques.
Measured I-V characteristics of deposited samples to identify resistive switching, analyzing current behavior at various voltage levels.
Characterized thin films using advanced techniques, including X-ray Diffraction (XRD), Raman Spectroscopy, UV-Vis Spectroscopy, Scanning Electron Microscopy (SEM) and Energy Dispersive X-ray Spectroscopy (EDX). Designed and implemented in-house software to interface with Keithley Instruments for precise neuromorphic device measurements.
Demonstrated strong technical expertise, problem-solving skills, and a commitment to advancing materials research.
WEBFOSYS NETWORKS PVT | INTERN
May 2023 – July 2023 | Bengaluru, Karnataka
Built and customized multiple websites using WordPress, demonstrating proficiency in various themes and functionalities.
Created engaging creatives for articles, significantly improving their visual appeal and user engagement.
Tech Stack Used: Canva, AdSpy, PubPlus, WordPress, Shopify.
My Projects
Hatetron App
It is a chatbot for developed for detecting Hate Speech, Offensive Language, and Safe Speech.
- PYTHON
- DART
- FIREBASE
- FIGMA
- CANVA,PITCH
AGRI GUARDIAN APP
AgriGuardian is an advanced app for rice leaf disease detection using CNN and YOLOv8n for classification and object detection. It features disease detection, an integrated shop, and prevention tips. The Agri Finance module helps users track income and expenses. AgriGuardian is live on the Indus App Store by PhonePe.
- PYTHON
- DART
- FIREBASE
- FIGMA
- CANVA,PITCH
Pneumonia Detection Website
This project focuses on detecting pneumonia from chest X-ray images using digital image processing techniques. Early detection of pneumonia can significantly improve patient outcomes, and this project aims to assist healthcare professionals.
- PYTHON
- STREAMLIT
- PITCH
