Konda Balaji Rao

AI/ML Engineer & Cloud Architect

Crafting Intelligent AI Systems with Deep Learning & Cloud.

AI/ML & Deep Learning Engineer building production-grade models and deploying them at scale with DevOps & Cloud. Creator of HeartGuard AI.

About Me

A glimpse into who I am and what drives my passion for technology.

I'm Konda Balaji Rao, a B.Tech student specializing in Artificial Intelligence & Machine Learning at Vignan's Foundation for Science, Technology and Research.

I'm deeply fascinated by how deep learning and intelligent systems can transform raw data into life-saving decisions. My core expertise lies in AI/ML, Deep Learning, and DevOps & Cloud — building production-grade models and deploying them reliably at scale.

From training neural networks for medical image analysis to setting up CI/CD pipelines on AWS, I enjoy the full spectrum of taking an AI idea from research to real-world deployment. When I'm not coding, you'll find me reading the latest ML papers or experimenting with new architectures.

Interests & Focus Areas
Deep LearningComputer VisionMedical AIMLOpsCloud ArchitectureRAG PipelinesAgentic AI SystemsCI/CD & AutomationOpen Source

AI & Machine Learning

Passionate about building intelligent ML models and systems that solve real-world problems, especially in healthcare.

Deep Learning & CV

Designing neural networks for computer vision, NLP, and medical image analysis with TensorFlow & PyTorch.

DevOps & Cloud

Deploying and scaling AI models on AWS with CI/CD pipelines, Docker, and infrastructure automation.

MLOps & Research

End-to-end ML lifecycle management — from experiment tracking to production monitoring and retraining.

"My mission is to build AI systems that are not just intelligent, but also trustworthy, explainable, and impactful—especially in domains where accuracy matters most."

Featured Projects

A selection of systems I've architected, focusing on scalability, AI integration, and complex data processing.

Aura Bank

AI-Powered Banking Management System

A comprehensive full-stack fintech ecosystem with AI-powered features including fraud detection, loan risk analysis, and intelligent chatbot support using local LLM.

  • Built ML models for fraud detection and loan eligibility prediction.
  • Implemented double-entry ledger system for financial data integrity.
  • 3D immersive login experience with Three.js animations.
ReactNode.jsPostgreSQLPython MLThree.js

HeartGuard AI

AI-Powered Heart Health Companion

An intelligent medical AI that actually checks its own answers. 8 specialist AI agents work together to answer heart health questions using 125K+ trusted medical documents.

  • 8 AI agents collaborate like specialist doctors — each handles a different type of medical question.
  • Self-correcting search verifies every answer against trusted sources before responding.
  • Fine-tuned Google's MedGemma model specifically for cardiology with healthcare-grade security.
LangGraphMedGemmaFastAPIChromaDBPostgreSQL

PDF Tools (Async Architecture)

High-Throughput Document Processing Engine

Demonstrates understanding of system design, queues, and handling heavy compute loads without blocking the UI.

  • Implemented asynchronous task queues (Celery + Redis) to handle large file OCR and compression.
  • Real-time status updates via WebSockets for seamless UX.
  • Secured workflows with AES-256 encryption.
PythonCeleryRedisWebSockets

Hospital Management System

Enterprise Resource Planning for Healthcare

Optimized scheduling logic in PostgreSQL to prevent double-booking conflicts. Implemented Role-Based Access Control (RBAC) for doctors, patients, and admins.

  • Optimized scheduling logic in PostgreSQL to prevent double-booking conflicts.
  • Implemented Role-Based Access Control (RBAC) for doctors, patients, and admins.
Node.jsPostgreSQLJWTREST APIs

ML & DL Showcase

34 Jupyter Notebooks Collection

A comprehensive collection of machine learning, deep learning, computer vision, and image processing projects developed during academic study.

  • Heart Disease Prediction with SHAP explainability and ensemble methods.
  • Transfer Learning with VGG16, ResNet, InceptionV3, MobileNet.
  • Computer Vision: Edge detection, LBP, Image similarity search.
PythonTensorFlowPyTorchOpenCVScikit-learn

Technical Arsenal

A comprehensive toolkit for building scalable, intelligent systems.

AI Agents & LLMs

LangGraphLangChainRAG PipelinesMedGemmaFine-tuning (LoRA/QLoRA)llama.cpp

Machine Learning

Scikit-learnXGBoostLightGBMSHAPOptunaPandasNumPy

Deep Learning & CV

TensorFlowKerasPyTorchOpenCVTransfer LearningCNN/LSTM

Backend Engineering

Python (FastAPI)REST APIsDocker

Databases & Storage

PostgreSQLRedis

Cloud & DevOps

AWS (EC2, S3)GitHub ActionsCI/CDLinuxDocker ComposeTerraform

Tools & Practices

GitJupyterGoogle ColabVS CodeMLflowWeights & Biases

Education

Academic foundation and achievements.

B.Tech in Computer Science (AIML)

2023 - Present

Vignan's Foundation for Science, Technology and Research

CGPA: 7.503rd Year (6th Sem)

Intermediate (12th Grade)

2021 - 2023

Sri Chaitanya Junior College

9.54 CGPA (95%)

SSC (10th Grade)

2021

Z.P. High School

9.58 CGPA (96%)
Achievements

Certifications

Professional certifications validating my skills and expertise

✨ Hover to pause rotation • Click a certificate to view

Get In Touch

I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.

Email

balajikonda9046@gmail.com

Phone

+91 83096 36226

Location

Guntur, Andhra Pradesh, India

Let's Build Something Amazing

Looking for a passionate AI engineer to bring your ideas to life? I'd love to hear from you.

Send Me a Message