Resume
A comprehensive view of my technical experience and education.
Technical Skills
Machine Learning & AI
- Deep Learning (PyTorch, TensorFlow)
- Natural Language Processing (NLP)
- Computer Vision
- Time-Series Forecasting (Scikit-learn)
- RAG Architectures & Vector Search (FAISS)
Software Engineering
- Full-Stack Web (React, Next.js, Node.js)
- Languages: Python, TypeScript, JavaScript, SQL
- Cloud & APIs: RESTful architecture, Deployment
- Security & Quality Assurance
- Database Management (SQL/NoSQL)
Professional Experience
Founder & Product Engineer at Skilvi
2026 – Present- Architected and deployed a production-grade LMS ecosystem to handle end-to-end student lifecycles without manual intervention.
- Integrated automated payment processing via Razorpay and on-chain verifiable credential issuance.
Software Engineering Intern at Benaka Electronics
2025- Cut manual planning time on steel-coil slitting with a custom OR-Tools optimization engine.
- Delivered and integrated the scheduling algorithm across 5 certified production phases.
Freelance Systems Builder
2023 – Present- GutBot RAG Deployment: Hardened an enterprise healthcare chatbot for production deployment on AWS EC2, strictly anchoring model responses to retrieved medical documents.
- KLE SCP College: Executed a full institutional CMS rebuild using Grav CMS, resolving administrative bottlenecks for content management.
- Spa/Fitness Booking System: Built a complete booking and scheduling system that eliminated double-bookings and manual calendar management for the client.
Publications & Research
FusioNet-DR
Dual-stream spatial-frequency framework
A dual-stream network that reads retinal images two ways at once — spatially and in the frequency domain — then fuses them with attention to grade diabetic retinopathy severity as an ordinal problem.
CBAM-CNN-BiLSTM
ECG arrhythmia classification
ECG classification with a debugging story: bypassed a standard library parsing bug by writing a custom binary .atr parser to get clean ground-truth labels before the model ever saw the data.
STAMP-Net
Oral cancer detection
Whole-slide pathology images too large for CNNs solved with attention-based multiple-instance learning, plus an adversarial mechanism that strips out stain-color bias.
B.E. in Artificial Intelligence & Data Science
Ramaiah Institute of Technology, Bengaluru (Expected 2027)
Diploma in Computer Science Engineering
KLE's CB Kolli Polytechnic, Haveri (2021 – 2024)
CGPA: 9.66
