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Kandkkekaar Sai Tej

AI & Machine Learning Engineer

Specializing in Generative AI, LLMs, RAG systems, and production-grade AI deployments across Azure and GCP.

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About

AI & Machine Learning Engineer specializing in Generative AI, Large Language Models (LLMs), and production-grade AI systems.

Experienced in building Retrieval-Augmented Generation (RAG) solutions, domain-specific LLMs, and AI agents for enterprise and healthcare use cases.

Strong background in Python, NLP, deep learning, and cloud-native deployments across Azure and GCP with a focus on scalable, secure, and compliant AI solutions.

40%
Better Relevance

70%
Time Saved

30%
Faster Pipelines

Contact

Hyderabad, India

saitej13sai@gmail.com

github.com/saitej13sai

Certificates

AWS Academy — Machine Learning Foundations
AWS Academy — Cloud Foundations
Cisco — Python Programming Essentials
Salesforce — Virtual Internships

Experience

AI Specialist

Jul 2025 – Present

Behavior Education Services Team (Remote)

Built and deployed a production-ready RAG assistant using FAISS, SentenceTransformers, and GPT-4o.
Improved response relevance by 40% through optimized embeddings, chunking, and retrieval.
Developed healthcare document summarization agents reducing manual review time by 70%.
Implemented HIPAA-compliant systems with encryption, RBAC, and audit logging.

Software Engineer — AI Data Training

Jul 2024 – Jun 2025

Outlier AI (Remote)

Automated large-scale AI data training pipelines, reducing processing time by 30%.
Built ML systems for content classification, anomaly detection, and dataset enrichment.
Designed feature engineering and data validation pipelines for reliable deployments.

Machine Learning Specialist

Feb 2022 – May 2024

Epsilon Pi

Contributed to lung cancer detection using CNNs/RNNs, improving accuracy by 22%.
Reduced false positives by 18% via preprocessing and hyperparameter tuning.
Built end-to-end medical imaging pipelines using PyTorch and TensorFlow.

Projects

AI Product Manager Assistant

Feature prioritization assistant using LangChain agent orchestration, FastAPI APIs, and Docker deployment.

LangChainFastAPIDocker

AI Email Processor (RAG)

GPT-4o powered email classification + response generation using Retrieval-Augmented Generation for fashion retail support.

RAGGPT-4oVector Search

Personalized News Feed Agent

Recommendation engine with Sentence-BERT embeddings and simulated interactions to improve engagement.

Sentence-BERTEmbeddingsRanking

Voice AI + Emotion Recognition

Voice assistant integrated with OpenCV facial emotion recognition achieving ~85% accuracy.

OpenCVPythonCV

Customer Churn Prediction (ANN)

TensorFlow ANN predicting churn, reducing prediction error by 40% for proactive retention.

TensorFlowANNML

Weather Forecasting (Time Series)

Time-series modeling to improve forecast accuracy by 35% using temporal pattern learning.

Time SeriesForecastingML

Skills

Programming

Python SQL

AI / ML

Machine Learning Deep Learning NLP Generative AI LLMs RAG Vector Search

Frameworks

PyTorch TensorFlow Scikit-learn

Cloud & MLOps

Azure Azure OpenAI GCP Docker FastAPI

GenAI Tools

LangChain FAISS SentenceTransformers Hugging Face Prompt Engineering

Analytics

ETL Streamlit Tableau Power BI