Medi-cryptic — Medical Image Security
Hybrid framework securing medical images with ResNet50-assisted steganography and encryption. Presented at IEEE INCECT-2026.
// Hi, I'm
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Software Engineer at Unisys building AI agent tooling, ML systems and full-stack products — grounded in a Java Full Stack & DevOps foundation. IEEE INCECT-2026 published author. Based in Bengaluru, India.
Enterprise software, modern engineering workflows & collaboration.
Graduated 2026 with strong CS fundamentals.
Presented Medi-cryptic — securing medical images with deep learning.
3 working MCP servers connecting AI assistants to real backends.
I'm a B.Tech Computer Science & Engineering graduate working as a Software Engineering Intern at Unisys. Before that, I completed Java Full Stack with DevOps training and an internship at JSpiders — backend development, databases, REST APIs and deployment practices.
Outside my professional track, my self-directed work goes into AI agent tooling — building MCP (Model Context Protocol) servers that let AI assistants operate real systems — alongside machine learning pipelines and full-stack platforms with real domain modeling, not just CRUD demos.
Technical Skills Snapshot
Achievements
A toolkit spanning the full product lifecycle — from Java backends and full-stack apps to ML pipelines, AI agent tooling, and the DevOps to ship them.
From CS fundamentals through professional training to enterprise engineering — plus peer-reviewed research along the way.
Unisys · Bengaluru, India
INCECT-2026 · IEEE Bangalore Section, Jain College of Engineering, Belagavi
JSpiders · Bengaluru, India
Dayananda Sagar University · Bangalore
Picked from 38 public repos for depth and range — AI/ML pipelines, agent tooling, and production-shaped full-stack systems.
Hybrid framework securing medical images with ResNet50-assisted steganography and encryption. Presented at IEEE INCECT-2026.
LSTM sequence model forecasting next-day closing prices with 15 engineered indicators, served through a Streamlit dashboard.
IT ticketing exposed two ways from one codebase: MCP tools for AI assistants and a documented FastAPI REST API for regular clients.
Enterprise-style booking & dispatch platform with 7 related entities, RBAC, and slot-availability rules. Next.js + Express + Prisma.
Full-stack web app detecting deepfakes with computer vision — FastAPI backend, MediaPipe/OpenCV analysis, React frontend.
System monitoring agent on AWS EC2 with a Flask dashboard — automated remediation with protected critical services and opt-in enforcement.
Dashboard that introspects any MCP server's JSON Schema and auto-generates the UI to run its tools, with multi-model fallback.
Layered Spring Boot + Hibernate + MySQL CRUD system — REST controllers, service layer, JPA repositories. The clearest Java Full Stack example.
Research, recognitions and consistent practice that mark the journey so far.
Presented "Medi-cryptic: Hybrid Framework for Securing Medical Images using ResNet50-assisted Steganography and Encryption" — IEEE Bangalore Section, Aug 2026.
Consistently solving Medium/Hard DSA problems to keep algorithmic fundamentals sharp.
Completed professional training & internship covering backend, databases, REST APIs and deployment.
Have a role, project or idea in mind? My inbox is open — I respond to everything.