Thestoryso far.
I'm Charan — an AI & Automation Engineer who lives at the intersection of machine intelligence and real-world systems.
I architect and deploy production-grade AI: LLM-powered applications, retrieval-augmented generation, and intelligent automation that streamlines enterprise-scale operations. My work spans the full stack — from training neural networks to shipping the interfaces people actually touch.
My journey is deliberately broad. I've written real-time control algorithms for military aero gas-turbine engines at DRDO, published deep-learning research with Springer, led a 400-student engineering department, and driven marketing strategy as a CMO. That range lets me see problems from angles most engineers never encounter.
I believe the best technology disappears — it feels inevitable. Whether it's a face-recognition pipeline, a mental-wellness companion, or an autonomous navigation system, I obsess over the details that make software feel effortless.
What I do best
- Production AI & LLM systems (GPT-4, Claude, RAG)
- Full-stack engineering (React, Next.js, Node, Flask)
- Published deep-learning researcher (Springer, 2025)
- Aerospace embedded systems (DRDO / FADEC)
Education
B.Tech, Computer Science with Data Science
Christ University, Bangalore
Higher Secondary (Class XII)
Sri Chaitanya College
Secondary (Class X)
Bhashyam High School
Research

Lung Disease Detection and Classification with an Improved Deep Learning Model Using X-Ray Images
An improved deep-learning model for detecting and classifying lung diseases from X-ray images, advancing computer-aided diagnosis for pulmonary conditions with high accuracy and clinical interpretability.
Authors: Dr. Babu Kumar, Charan Reddy Chanda, +2
View on ORCIDLeadership & Roles
2024 — 2025
Head, Department of CSE
Christ University
400+ students
2024 — 2025
Media & PR Lead
IIIC
Industry events
2024 — 2025
Student Council Member
Student Council
Campus-wide
2023 — 2024
Technical Lead
IIIC
Workshops & sessions
2023 — 2024
Media Volunteer
ACM Student Chapter
Chapter visibility