ML systems that solve real business problems.

I’m Rakesh Bhatia, an ML engineer building practical NLP pipelines, FastAPI backends, and full-stack AI applications—from prototype to deployment.

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Services

ML Pipeline Cleanup

Clean notebooks, debug pipelines, evaluate models, and prepare client-ready deliverables.

NLP Prototypes

Build classification, entity extraction, clustering, and lightweight AI workflows.

FastAPI Backends

Ship clean APIs, database-backed endpoints, ingestion routes, and integrations.

Selected Projects

Computer Vision for Port Operations

Repo

Built a boat-type image classifier for port automation, comparing a custom CNN with MobileNetV2 transfer learning.

Python · TensorFlow · CNN · MobileNetV2

Unsupervised Clustering for Music Cohorts

Repo

Grouped songs by feature similarity using clustering and exploratory analysis—a reusable pattern for segmentation and recommendation work.

Python · pandas · scikit-learn · Clustering

Retail Sales Analysis

Repo

Analyzed Q4 apparel sales to identify state performance, demographic patterns, time-of-day behavior, and expansion opportunities.

Python · pandas · Seaborn · Business Analytics

Time-Series Forecasting for Dow Jones Stocks

Repo

Benchmarked Linear Regression, KNN, Auto ARIMA, and Prophet using RMSE to compare forecasting performance.

Python · Time Series · Auto ARIMA · Prophet

Rails REST API Foundations

Repo

Built a Rails API with authentication, serializers, and CRUD workflows—early backend foundations that later evolved into FastAPI systems.

Ruby · Rails · REST · Authentication

Have a focused ML or backend problem?

Send the scope, current stack, and desired outcome. I’ll respond with a direct assessment and a practical next step.

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