Professional summary
Full-stack developer passionate about backend engineering, cloud-native systems, and applied AI, with hands-on experience building scalable, real-world software.
I enjoy designing systems that are scalable, maintainable, and practical. My recent work includes cloud-native microservices, NLP-based document analysis, AI-assisted applications, and backend automation. Alongside academics, I actively contribute to Layer5 and participate in open-source programs to strengthen real-world engineering skills.
Full-stack developer passionate about backend engineering, cloud-native systems, and applied AI, with hands-on experience building scalable, real-world software.
Dayananda Sagar College of Engineering
Bachelor of Engineering in Information Science and Engineering
2023 — 2027
CGPA: 9.6
Recent internships span AI, automation, and applied machine learning, with each role focused on building working products rather than only theoretical exploration.
• Built Paridhana,an AI-powered fashion recommendation platform using generative AI that converts text and image inputs into personalized outfit suggestions.
• Reduced manual outfit planning time by approximately 35% during pilot testing while validating the application with 50–100 user scenarios.
• Built an automated email workflow for internship onboarding, reminders, and completion summaries.
• Reduced manual coordination effort by approximately 60% while automating 200+ emails per training batch.
• Built SuryaVeda, a machine learning-powered web app for electricity usage prediction and solar power estimation.
• Processed datasets, trained models, and presented the application as a green-skills capstone project.
• Designed and refined AI prompt frameworks to optimize natural language understanding and generation.
• Integrated prompt engineering techniques into AI-driven applications and evaluated model responses for quality and user relevance.
• Developed and optimized user interfaces for eVidhyalaya, a smart exam preparation platform for JEE, NEET, and other competitive exams.
• Worked with the product team to improve usability and accessibility for thousands of aspirants.
Featured projects demonstrating expertise in distributed systems, machine learning, backend engineering, and modern web development.
A cloud-native microservices platform built with FastAPI, React, and Kubernetes to track, compare, and forecast e-commerce product prices dynamically.
Counselling assistant application designed to help learners log concerns, access support resources, and cope with stress in a structured and privacy-aware way.
An end-to-end legal document analysis system that automatically classifies contract clauses and extracts legal entities using LegalBERT + NLP, wrapped in a clean Flask web application
Android recipe application with Firebase-backed authentication and storage for organizing, saving, and syncing recipes across sessions.
Core strengths across programming, web development, backend frameworks, and databases.
If you are hiring for software engineering, full-stack development, or AI-focused roles, I’d be glad to connect.