AI•LLM•RESEARCH
Building Intelligent Systems
Iam,adedicatedAppliedAIResearchEngineerfocusedonmasteringGenerativeAIandLLMorchestration.Ispecializeintransformingcomplexresearchintorobust,high-performanceAIsolutionsmeticulouslyoptimizedforreliability,minimallatency,andmeasurablereal-worldimpact.
About Me
I am Kalyanam Venkata Sree Sai, an Applied AI Research Engineer focused on building intelligent systems that transform ideas into real-world AI applications.
I specialize in Artificial Intelligence, Generative AI, and Large Language Models, with a strong foundation in Machine Learning, Deep Learning, and Computer Vision. I focus on bridging the gap between research and real-world implementation.
Applied AI Focus
Designing intelligent systems that integrate learning, reasoning, and real-world adaptability.
AI Models
LLMs
Vision
Research
Flagship AI System
Building intelligent retail experiences through multimodal AI systems.
Virtual AI Try-On System
A multimodal AI system enabling real-time virtual try-on using computer vision, avatar generation, and recommendation engines.
System Pipeline
Projects
My Project Workflow
Skills & Technologies
Technologies I use to build scalable AI systems and applications.
AI / ML
- ⚡ PyTorch
- TensorFlow
- ⚡ Scikit-learn
- 🧠 CNN (Deep Learning)
- 📊 Model Training & Evaluation
✨ Generative AI
- 🤖 LLMs (OpenAI / APIs)
- 🔗 RAG (Retrieval-Augmented Generation)
- 🧩 Prompt Engineering
- 💬 AI Chatbot Development
- 📡 Embeddings & Vector Search
👁️ Computer Vision
- 📷 OpenCV
- 🧩 Image Classification
- 🎯 Object Detection
- 🔥 Grad-CAM (Explainable AI)
- 🏥 Medical Imaging (X-ray)
Backend
- ⚙️ FastAPI
- 🌐 Node.js
- 🔌 REST APIs
- 🤖 API Integration (LLM APIs)
- 🚀 Authentication & Deployment
Tech Stack
My Education
Master of Science in Computer Science
University of Alabama at Birmingham
Aug 2024 – May 2026
Focus: Machine Learning • Deep Learning • NLP • Computer Vision
Bachelor of Technology in Computer Science (AI)
Koneru Lakshmaiah Education Foundation
Aug 2020 – May 2024 • GPA: 8.6 / 10
Focus: Artificial Intelligence • Machine Learning • Research
My Certifications
AWS Certifications
- Cloud Practitioner
- Developer – Associate
- Solutions Architect – Associate
Microsoft Azure
- AZ-900
- DP-900
- AI-900
AI / Machine Learning
- TensorFlow Developer Certificate
Additional Certifications
- Python & Computer Vision Bootcamp
- AI-ML Virtual Internship
Research & Publications
I focus on building practical AI systems and solving real-world problems using machine learning and deep learning.
Machine Learning and Deep Learning Techniques for Coronary Heart Disease Prediction
👨🔬 Sai (Lead Researcher), Co-authors
IEEE ICCCMC 2023 • Feb 2023
This research compares multiple machine learning and deep learning models to predict coronary heart disease. It evaluates traditional algorithms alongside neural networks to understand their reliability in medical prediction tasks.
Special focus was given to data preprocessing and feature engineering, which significantly improved model performance.
Best Model
ANN
Accuracy
84.44%
Impact
High
Research Workflow
Let’s Connect 🤝
Whether you're building an AI-driven product or looking for a collaborator who can turn concepts into real systems — I’d love to bring meaningful solutions to life.
kvsreesai.ai.engineer@gmail.com
View professional experience
GitHub
Explore projects & experiments
Let’s Build Something Meaningful 🚀
I enjoy working on challenging problems — from AI systems and automation pipelines to research-driven solutions.
⚡ Typical response time: within 24 hours.