Profile
Final-year B.E. IT student with hands-on experience in Python, AI/ML, and cloud backends — internship experience shipping AI-powered backend systems end-to-end. Associate Developer Intern at Idyllic Services Pvt. Ltd, building production RAG pipelines, agentic AI orchestration systems, and ML infrastructure on AWS. IEEE 2026 conference co-author on Bayesian Deep Learning.
Professional Experience
Associate Developer Intern
01/2026 – Present
Idyllic Services Pvt. Ltd
- Built JD-to-candidate pipeline stages using GPT-4.1, Qdrant, MongoDB, and OpenAI Embeddings.
- Reduced LLM token usage by 99% and response time by 10× via semantic caching and vector search.
- Built an end-to-end AI-proctored video interview module with real-time STT, TTS, and face detection.
- Automated report generation and scaled the system to index 15,000+ candidates.
- Deployed 10+ full-stack apps end-to-end on Linux VPS using SSH, Docker, and Nginx.
Technical Projects
ResuGenie — AI Resume Parser
12/2025
Python · Flask · RAG · AWS
- Built full-stack AI resume platform with RAG-based chat, JD fit analysis, and 10-dimension scoring.
- Implemented semantic resume–JD matching using vector embeddings for intelligent candidate-role alignment.
- Integrated Amazon Bedrock to enable RAG-based "Chat with Resume" functionality.
- Deployed on AWS ECS with EC2, Elastic IP, and IAM role-based Bedrock access.
AI-Powered Chest X-Ray Classifier
08/2025 – 11/2025
Python · Keras · Streamlit
- Built a DenseNet121-based classifier on 5K+ chest X-rays (96.33% accuracy, 99.42% ROC-AUC).
- Integrated Grad-CAM to visually highlight detected regions on X-rays for explainable predictions.
- Implemented attention mechanisms (channel + spatial) to focus model on clinically relevant lung regions.
Official Website for Raghavendra Swami Mutt
05/2025 – 08/2025
Python · MySQL
- Developed and deployed full-stack booking system with frontend, backend, database, and admin panel.
- Automated booking process reducing manual effort by ~90% and seva booking time by ~95%.
- Served 100+ users with 5,000+ total visitors since deployment.
Technical Achievements
Co-author, IEEE CVMI 2026
Uncertainty-Aware Pneumonia Detection using Bayesian Deep Learning — 96.33% accuracy, 99.42% ROC-AUC
Winner — College Hackathon (Hackslash)
Built ResuGenie, an LLM-based resume parser and JD alignment system. Won over 50+ teams.
Published on PyPI — integration-smoke-test
Open-source Python library for API health checks and connectivity diagnostics
AI-Powered VS Code Extension
Built an AI-powered VS Code extension enabling natural language command execution in the editor
CCAT 2026 — All India Rank 308
Demonstrating strong fundamentals in DSA, programming, and core Computer Science
Position of Responsibility
Competitive Programming & DSA Lead — Hackslash
06/2024 – 06/2025
- Conducted 5+ workshops, coding competitions, and hackathons for 300+ students.
- Mentored peers in Data Structures and Algorithms, promoting structured problem-solving and code optimization.
Education
B.E. (Information Technology)
Govt. Engineering College, Chhatrapati Sambhajinagar
XII (HSC)
Mallick Junior College, Chhatrapati Sambhajinagar
X (ICSE)
Ryan International School, Chhatrapati Sambhajinagar