Machine Learning Engineer

I build end-to-end ML pipelines — from raw data to deployed prediction APIs with interactive frontends. Every project below is live and testable.

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Live Platforms
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Datasets
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Best Accuracy
Auto-ML
Pipeline
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Building ML — end to end

From raw data to deployed prediction APIs — every system built, tested, and live.

RW
Ramakrishnasai Wuppalapati
ML Engineer · Data Scientist · AI Builder
Available for ML roles

Achievement-driven ML professional with a PG Diploma in Data Science from IIIT-Bangalore (3.7/4). I build complete systems — not just notebooks — covering data ingestion, EDA, feature engineering, model training, evaluation, and deployment via REST APIs.

My work spans classical ML, deep learning (CNN/RNN/Transfer Learning), NLP, computer vision, and Generative AI (RAG, Agents, LangChain). Every project here is live and interactive.

Machine LearningDeep LearningGenerative AIComputer VisionNatural Language ProcessingModel DeploymentData VisualizationStatistical AnalysisBusiness IntelligenceWeb ScrapingDocker & ContainersCloud (GCP)
PG Diploma in Data Science
Specialization in Deep Learning
IIIT-Bangalore × upGrad
3.7 / 4.0
2021
Bachelor of Commerce
Accounts & Economics
Mumbai University
62%
2005

The full AI/ML stack

End-to-end capabilities — from raw data through classical ML, deep learning, NLP, computer vision, and Generative AI to production deployment.

🧠Machine Learning
Linear RegressionLogistic RegressionRandom ForestXGBoostLightGBMCatBoostDecision TreesSVMKNNK-MeansHierarchical ClusteringSMOTEADASYNGridSearchCVRandomSearchCVSHAPLIME
Deep Learning
ANNCNNRNNLSTMTransfer LearningVGG16VGG19ResNet50MobileNetGoogLeNetSegFormer-B0Data AugmentationCNN Visualization
Generative AI
TransformersRAGAI AgentsLangChainLangGraphLLMsPrompt EngineeringVector DatabasesEmbeddings
💬NLP
Word2VecLSTMTopic ModelingSentiment AnalysisPOS TaggingLemmatizationStemmingText PreprocessingGensimGaussianNBTF-IDF
👁Computer Vision
Image ClassificationObject DetectionSemantic SegmentationONNXTinyYOLOv3Custom CNNCNN Layer VisualizationImage AugmentationWeb Image Extraction
🛠MLOps & Tools
PythonFastAPIFlaskDockerGCPRenderVercelHerokuPostmanMLFlowScikit-learnPandasNumPyPlotlySQLGitSeleniumScrapyBeautifulSoup

Projects

Live ML Apps — click to predict

Platform

ML Unified Platform

4
Models

One app, four models. Select Iris classifier, Titanic survival predictor, Diabetes risk model, or Insurance premium estimator from a sidebar — all served from a single schema-driven FastAPI backend with dynamic forms.

ModelMulti-Model
Features26
4 Datasets · 26 Features
PlatformFastAPISchema-DrivenClassificationRegression
Exploratory Analysis

EDA Explorer

Datasets

Upload any CSV dataset and instantly explore it — shape, dtypes, missing value heatmap, per-column distributions (histograms for numeric, bar charts for categorical), descriptive statistics, outlier counts, and a full Pearson correlation heatmap. No code required.

ModelPandas · NumPy
Features0
Any CSV
EDAStatisticsCorrelationDistributionsData Profiling
Vision

ML Vision Platform

150
Seg Classes

Three vision tasks in one app: classify images across 1000 ImageNet categories (MobileNetV2 · ResNet50 · SqueezeNet · GoogLeNet), detect objects with TinyYOLOv3 (COCO 80 classes), and segment scenes pixel-by-pixel with SegFormer-B0 (ADE20K 150 classes). All models run as ONNX on a FastAPI microservice.

ModelSegFormer-B0 · YOLOv3 · MobileNetV2
Features3
ImageNet · COCO · ADE20K
VisionONNXSegmentationDetectionClassification

All projects are hosted on Render free tier — first load may take ~15s to spin up.

From raw data to live prediction

A complete end-to-end ML pipeline — click any stage to explore what happens there.

📥
1
Data Ingestion
🔍
2
Exploratory Analysis
⚙️
3
Feature Engineering
🧠
4
Model Training
📊
5
Evaluation
🚀
6
Deployment
Soon
📡
7
Monitoring

Click any stage to expand · stages run sequentially in a real pipeline

What's happening in AI & ML

Latest research papers from arXiv and industry news — updated hourly.

Career timeline

A journey from financial services to full-stack ML engineering.

Data Engineer
Capgemini
Now
Dec 2025 – Present

Current employer.

Support Engineer
JoulestoWatts Business Solutions
Nov 2024 – Nov 2025

Technical support and ML project development. Built and deployed ML systems end-to-end.

Business Development Executive
SBI Life Insurance
May 2014 – Jul 2017

Business development, client management, and analytics-driven sales strategy.

Junior Executive
Veenus Cybersoft
Oct 2013 – May 2014

Technical operations and client support in a software environment.

Business Development Executive
Valuegain Distributors
Apr 2012 – Oct 2013

Business development and distribution operations.

Associate
Statestreet Syntel Services
Jun 2006 – Jun 2010

Financial services operations, process execution, and data management in a global enterprise environment.

Let's work together

Open to ML engineering roles, freelance projects, and collaborations. Drop a message or reach out directly.

Email
ramleo84@gmail.com
in
LinkedIn
WRamakrishnasai
gh
GitHub
github.com/ramleo
🐳
DockerHub
hub.docker.com/u/wram
📍
Location
Hyderabad, India