AI · Full Stack · GenAI
Final-year B.Tech (CSE - AI) student from Kurnool, building intelligent, scalable applications from AI-powered ad generators to cybersecurity solutions and real-time emotion detection.
AI/ML & Full Stack Developer passionate about building meaningful, real-world solutions.
I am a final-year B.Tech student in Computer Science (Artificial Intelligence) at G. Pullaiah College of Engineering and Technology, Kurnool, Andhra Pradesh (2023–2027). I specialize in combining modern web technologies with AI to deliver intelligent, production-ready applications.
My experience spans Generative AI for cybersecurity, AI-driven ad copy generation, conversational agents for disaster response, emotion recognition from audio, and network intrusion detection. I enjoy taking projects end-to-end, from ideation and data processing to clean UI and scalable deployment.
I am actively seeking freelance, internship, and full-time opportunities where I can build impactful AI-powered systems, collaborate with high-performing teams, and grow as a problem-solver in both backend and frontend ecosystems.
2023 – 2027
B.Tech in Computer Science (Artificial Intelligence)
G. Pullaiah College of Engineering and Technology, Kurnool
Dec 2025 – Jan 2026
Intern – Cybersecurity with Generative AI
Edunet Foundation | VOIS | Remote
End-to-end AI and full stack projects solving real problems with clean UX and scalable architectures.
Developed an AI-powered web application to generate ad copy based on product details and target audience.
Developed a real-time system to detect human emotions from audio input.
Engineered a conversational AI to provide instant information during disasters.
Built an AI-powered system to identify malicious network activities.
From low-level data processing to polished interfaces and cloud deployment.
Java, Python, JavaScript, SQL
Spring Boot, Node.js, Express.js, Flask, RESTful APIs
React.js, HTML5, CSS3, Bootstrap, Tailwind CSS
MySQL, PostgreSQL, MongoDB, AWS (EC2, S3, RDS), Docker, Git, GitHub
Recognized by global platforms for cloud, Generative AI, vector search, and Python expertise.
Mastering agentic workflows and AI-driven automation for next-gen intelligent systems.
Validated understanding of AWS core services, security, and deployment patterns for scalable applications.
Demonstrates ability to design and integrate LLM-powered workflows using Oracle Cloud Services.
Strengthened fundamentals of ML lifecycle, model deployment, and responsible AI.
Learned to design GenAI applications, evaluate outputs, and ship reliable, production-ready AI features.
Practical skills building semantic search and RAG pipelines on top of vector databases.
Certified proficiency in Python for scripting, backend APIs, and ML workflows.
Advanced implementation of Retrieval Augmented Generation, LLMs, and Generative workflows.
Applying Generative AI and security-focused ML to production-like environments.
Edunet Foundation | VOIS · Remote · Dec 2025 – Jan 2026
Open to internships, freelance projects, and full-time roles in AI/ML and full stack engineering.
I usually respond within 24 hours. Share a brief problem statement or role description, and I’ll get back with ideas, timelines, and how I can add value.