I build |
Building AI-powered applications that solve real problems.
RAG chatbots • ML systems • Full-stack web apps
Shipped production RAG chatbot serving 100+ users, ML-based DDoS detection system with 95%+ accuracy, and scalable MERN applications. Ready to deliver impact from day one.
AI & Backend Developer
I am a final-year Computer Science & Data Science undergraduate focused on building real-world AI-powered applications.
I have developed a Retrieval-Augmented Generation (RAG) chatbot that answers questions from documents, a machine learning-based DDoS detection system, and a document verification tool using computer vision.
My primary stack includes Python, LangChain, Node.js, and MongoDB. I enjoy designing backend systems, integrating APIs, and building practical AI solutions.
Currently seeking an entry-level Software Developer or AI Developer role where I can contribute to backend and AI-driven applications.
CGPA
Projects
Internship
Building responsive, interactive user interfaces with modern frameworks and best practices.
Developing scalable server-side applications and RESTful APIs with robust architecture.
Designing and managing efficient database systems for data storage and retrieval.
Implementing intelligent systems with LLMs, RAG pipelines, and ML algorithms.
Leveraging modern development tools and cloud platforms for deployment and CI/CD.
Creating cross-platform mobile applications with native performance and smooth UX.
Production RAG system serving 100+ users with 90% answer accuracy
Production RAG chatbot serving 100+ users. Answers questions from PDFs with 90% accuracy using LangChain, vector embeddings, and context-aware retrieval.
ML system achieving 95%+ accuracy in detecting network attacks. Trained Random Forest model on 100K+ traffic samples with real-time classification.
Computer vision system detecting document tampering with 85%+ accuracy. Processes 50+ document types using OpenCV and ML algorithms.
Tech Internship • 2024
• Built 15+ responsive UI components in Flutter, reducing development time by 30%
• Implemented navigation system serving 500+ daily active users
• Integrated REST APIs with 99% uptime, handling 1000+ requests/day
• Collaborated in agile team, delivering features 20% faster than timeline
IVIS Lab • 2023
• Processed 10GB+ datasets using Python and Pandas
• Built ETL pipelines reducing data processing time by 40%
• Automated data validation, catching 95% of errors pre-production
Infosys Springboard • 2023
• Completed 40+ hours of Python programming training
• Scored 90%+ in final assessment
• Applied skills in 3 production projects
EPRA International Journal of Research and Development (IJRD)
VOL.10 Issue 8, August 2025
DOI: 10.36713/epra23698ATME College of Engineering, Mysuru
Visvesvaraya Technological University, Belagavi
CGPA: 8.37
JSS PU College, SJCE Campus, Mysuru
Percentage: 91.17%
Sri Kalabhayaveshwara High School, Kanakapura
Percentage: 94.72%
My open-source contributions and coding journey
Public Repositories
Stars Earned
Contribution Streak
Currently available for full-time opportunities and freelance projects
Let's connect and discuss how my skills in MERN stack, AI/ML, and mobile development can add value to your team.