Headline

M.Tech Researcher – Quantum Technologies at JNTUA College of Engineering, Pulivendula

About

I build web applications that actually solve problems — not just tick boxes on a requirements list. Over the past year, I've gone deep on full-stack development: designing REST APIs with Spring Boot, building responsive UIs with React and JavaScript, and making sure everything holds up under pressure with Selenium and JUnit test automation. I've logged 500+ hours of real development work — not tutorials, but actual applications with databases, role-based access, version control, and deployment considerations baked in. One of my projects is an agriculture services platform built for farmers in Andhra Pradesh — handling market price tracking, crop insurance, and logistics through a Spring Boot backend and WhatsApp API integration. Another got peer-reviewed and published in a UGC-listed journal. I don't just build things to learn; I build things that are meant to work for real people. My stack: Java · Spring Boot · React · MySQL · REST APIs · Selenium · Git. I'm also Oracle OCI certified and have hands-on exposure to Azure AI tools through a Microsoft-backed internship. What I bring beyond the tech: I've worked in agile teams, handled code reviews, optimised SQL queries for real performance gains, and shipped across the full stack — from schema design to frontend. I'm currently pursuing M.Tech in CSE at JNTUACEP, which keeps me sharp on fundamentals while I stay active in the industry. I'm looking for a software engineering role where I can contribute from day one, work on meaningful products, and keep growing with a team that takes craft seriously. If my background fits what you're building, reach me at katravath11143@gmail.com or connect here on LinkedIn.

Location

Bengaluru

AI stack

antigravity

claude code

deepseek

gemini

github copilot

grok

Work experience

M.Tech Researcher – Quantum Technologies at JNTUA College of Engineering, Pulivendula, Sep 2026 - Present · 1 mo, Pulivendla, Andhra Pradesh, India, Currently pursuing M.Tech in Computer Science & Engineering and exploring research opportunities in the field of Quantum Technologies under the guidance of Dr. G. Murali, Associate Professor. My current research exploration focuses on understanding emerging developments and identifying potential research problems in areas including: • Quantum Computing and Quantum Algorithms • Quantum Machine Learning • Quantum Information Science • Quantum Cryptography and Communication • Applications of Quantum Technologies in Computer Science As part of this research journey, I am studying foundational concepts, reviewing existing literature, analyzing current research gaps, and exploring potential problem statements for developing a meaningful research contribution. Research Focus: Quantum Technologies | Quantum Computing | Quantum AI | Emerging Computing Paradigms

Artificial Intelligence Intern at Infosys Springboard, Jul 2026 - Sep 2026 · 3 mos, Remote, Selected for the Infosys Springboard Virtual Internship 7.0 (Batch 2) in the Artificial Intelligence domain. Working on AI concepts, machine learning fundamentals, model development, and industry-oriented projects through hands-on learning, guided assignments, and mentor support. Gaining practical experience in AI workflows, data preprocessing, model evaluation, and real-world problem solving while collaborating in a structured virtual internship program.

Deep Learning Research Intern — Bioinformatics at Indian Institute of Information Technology Design & Manufacturing, Kurnool, May 2026 - Jul 2026 · 3 mos, Kurnool, Andhra Pradesh, India, • Selected for the IIITDM Kurnool Internship Programme 2026 under the Department of Computer Science and Engineering. • Working in the domain of Deep Learning for Bioinformatics under the guidance of Dr. Chandra Mohan D. • Learning and exploring Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) concepts and architectures. • Studying ANN, MLP, CNN, RNN, Autoencoders, GANs, Graph Neural Networks (GNNs), and Graph Convolutional Networks (GCNs). • Exploring topics including Molecular Generation using Graph GANs, Explainable GCNs for Protein-Protein Interaction (PPI) Prediction, and Graph GANs for Multimodal Cancer Prediction. • Building foundational understanding in graph-based deep learning and bioinformatics-oriented AI systems.

Full Stack Developer at KodNest, Jun 2024 - Dec 2024 · 6 mo, Bangalore, Participating in an intensive full stack development internship focused on building scalable and efficient web applications. Key Highlights: • Gained hands-on experience with Java, Spring Boot, MySQL, and RESTful APIs • Developed responsive UIs using HTML, CSS, JavaScript, and React • Practiced real-world coding through capstone projects, debugging, and code reviews • Learned Agile development, version control (Git/GitHub), and deployment best practices • Enhanced problem-solving skills through regular DSA and coding challenges This experience helped strengthen my understanding of software engineering principles and prepared me for real-world development challenges.

Education

Master of Technology (M.Tech), Computer Science and Engineering (CSE), JNTUA College of Engineering, Pulivendula

B.Tech, Computer Science and Engineering, vignan's institute of information technology