APP
Closet Compass
Weather-aware outfit recommendations — deterministic engine, occasion toggles, multi-profile, and shop links. Closed source.
AI Engineer Portfolio
Building AI systems from idea to production.
I work across RAG pipelines, LLM applications, semantic search, NLP systems, model evaluation, and practical MLOps for real business use cases.
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About
A little background
AI Engineer focused on practical GenAI systems.
I am Rajesh Racha, an AI Engineer with experience building Generative AI and machine learning workflows around retrieval, document intelligence, NLP, model evaluation, and automation.
My focus is not just creating demos. I care about how AI systems are evaluated, deployed, monitored, optimized, and explained so they can be used safely in real products.
I work with Python, LangChain, vector databases, OpenAI APIs, Hugging Face, FastAPI, MLflow, Docker, cloud AI platforms, and modern ML engineering workflows.
RAGCore focus
MLModeling
APIDeployment
Experience
Where I have worked
Gen AI Developer
UnitedHealth Group · Cleveland, OH
Feb 2025 — Present
- Built Retrieval-Augmented Generation workflows using LangChain, vector databases, and LLM APIs.
- Worked on prompt engineering, document Q&A, summarization, semantic retrieval, and intelligent automation.
- Supported production-focused evaluation, deployment, monitoring, and optimization of GenAI workflows.
AI / ML Engineer
Hyderabad, India
Previous Role
- Designed LLM-powered document understanding, summarization, and semantic search systems.
- Implemented machine learning and NLP pipelines using Python, Scikit-learn, Hugging Face, and spaCy.
- Worked with cloud AI workflows, vector retrieval, model experimentation, and deployment patterns.
Data Scientist / ML Engineer
Hyderabad, India
Earlier Role
- Built predictive ML models using Python, TensorFlow, PyTorch, Scikit-learn, and XGBoost.
- Performed EDA, feature engineering, model training, evaluation, and model improvement.
- Worked with NLP, deep learning, time-series forecasting, and large-scale data processing.
Skills
Technical stack
PythonCore language
RAGRetrieval systems
LangChainLLM workflows
OpenAI APIGenAI apps
FAISSVector search
ChromaDBVector DB
Hugging FaceTransformers
Scikit-learnML models
FastAPIModel APIs
MLflowMLOps
DockerPackaging
AWSSageMaker
Azure AIAzure OpenAI
KafkaStreaming
PySparkBig data
Projects
Selected work
AI
AI Image Editor
AI-powered image editing with background removal, style transfer, and enhancement.
RAG
Production RAG Pipeline
Grounded enterprise document question-answering with retrieval quality tracking.
EVAL
LLM Evaluator Harness
Prompt and output evaluation framework for reliable GenAI applications.
OBS
RAG Monitoring Layer
Monitoring dashboard for faithfulness, relevancy, and latency of RAG systems.
ML
Whale Tracker Predictor
On-chain wallet behavior prediction using engineered activity features.
SEC
Streaming Fraud Detector
Real-time ML pipeline for suspicious transaction pattern detection.
QA
Research Assistant CLI
Source-aware assistant for document question-answering and traceability.
DEV
Explain This Repo
Plain-English GitHub repo explanations — no install, no API key, works in browser or with local LLM.
Let's build something useful.
I am open to AI Engineer, GenAI Developer, and Machine Learning Engineer roles focused on RAG, NLP, LLM applications, MLOps, and production AI systems.