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Atchi Kalyan Sai

AI and ML-focused Computer Science undergraduate building end-to-end intelligent systems — from RAG pipelines and LLM chatbots to computer vision platforms — with real, measurable impact.

Atchi Kalyan Sai

About Me

I'm an AI & Machine Learning-focused Computer Science undergraduate with hands-on experience building, deploying, and optimizing end-to-end AI systems — including Retrieval-Augmented Generation (RAG) pipelines, LLM-powered chatbots, and computer vision platforms.

My journey into technology began with a deep curiosity about how machines can learn and adapt. That curiosity has since evolved into production-grade expertise across NLP, vector databases, LangChain, and full-stack AI development. I don't just build models — I ship complete systems that create measurable business impact.

Beyond engineering, I actively contribute to open-source, participate in AI hackathons, and mentor fellow developers. I believe the best engineers are lifelong learners who build things that truly matter.

3+ AI Projects Shipped
45% Response Time Reduced
8.25 CGPA / 10
Kalyan Sai

Professional Experience

AI Engineer Intern
KodeMelon Technologies
Aug 2025 – Dec 2025
  • Architected a full-stack image analytics platform integrating computer vision models (face detection, emotion classification), serving 1,000+ queries with vector similarity search and improving retrieval accuracy by 90%.
  • Engineered a production-ready LLM chatbot using BERT embeddings and Servam API with a Flask backend, reducing client average response time by 45% through intelligent automation.
BERT Computer Vision NLP Vector Search Flask Python

Projects

alaBAI – The EduBuddy

AI-powered learning platform that delivers curated resources, Gemini-generated summaries, and an integrated code editor — eliminating context-switching friction in technical education.

Python Flask Gemini API Full Stack JavaScript

CollegeBot – RAG Chatbot

RAG-based chatbot answering college queries for students and parents using verified institutional data. Built an end-to-end pipeline: web scraping → chunking → ChromaDB embeddings → LLM response generation.

LangChain ChromaDB RAG Streamlit Sarvam AI

Behavioral Biometrics

ML-based fraud detection system verifying user identity through keystroke dynamics and location data — achieving high accuracy distinguishing genuine users from fraudulent ones in real time.

Scikit-learn Random Forest Flask MySQL SVM

Skills

Machine Learning & AI

Supervised Learning Unsupervised Learning NLP Generative AI RAG Prompt Engineering LangChain Langgraph Model Deployment

Frameworks & Libraries

Scikit-learn TensorFlow Pandas NumPy Matplotlib Seaborn Hugging Face

Data Analytics

EDA Feature Engineering Statistical Analysis Data Cleaning Model Evaluation Data Visualization

Full Stack Development

Flask FastAPI Streamlit React.js RESTful APIs HTML / CSS JavaScript

Programming Languages

Python JavaScript SQL C++ (Basic) HTML / CSS

Databases & DevOps

MySQL ChromaDB VectorDB Git / GitHub Docker Google Colab VS Code

Core Concepts

Data Structures & Algorithms OOP Model Optimization Feature Scaling Cross-validation

Certifications & Achievements

Google AI Essentials

Google — Coursera

May 2024

Introduction to Generative AI

Google Cloud

Apr 2024

LeetCode — 100+ Problems

Data Structures & Algorithms in Python

Ongoing

Top 1% — CSE Department

Academic Excellence, VVITU

2022 – Present

Education

B.Tech — Computer Science & Engineering
Vasireddy Venkatadri International Technological University (VVITU)
Specialization: IoT, Cybersecurity & Blockchain Technology
Artificial Intelligence Machine Learning Data Science
8.25
CGPA / 10
Oct 2022 – May 2026

Get In Touch

Email

kalyansai0909@gmail.com

Phone

+91 73867 24743

GitHub

LinkedIn

Portfolio

LeetCode

"

Innovation is seeing what everybody has seen and thinking what nobody has thought.

— Atchi Kalyan Sai
"