Hi, I'm BrejeshBalakrishnan

Full-Stack Developer

✦Full Stack Developer @ Accenture (TIAA) with strong production engineering foundation
✦Shipped high-impact backend improvements: >90% test coverage + API latency >5s reduced from ~80% to <20%
✦Building end-to-end ML/DS systems (Python, SQL, MLflow, AWS SageMaker/S3/Lambda) with deployable demos

View My Work Get in Touch

@brej-29

Actively interviewing: Data Scientist / ML Engineer (Bengaluru) | Available Apr 2026

Tech Stack & Skills

Technologies I work with to build modern, scalable applications

Data Science

Machine Learning

Python

SQL

scikit-learn

XGBoost

MLflow

AWS SageMaker

Docker

Pandas

NumPy

FastAPI

Git

Streamlit

Power BI

Programming

Python
Java
JavaScript
TypeScript
HTML
CSS

Data

SQL
Pandas
NumPy
MySQL
MongoDB
Redis

ML

scikit-learn
XGBoost

Deep Learning

TensorFlow
PyTorch

GenAI/NLP

Hugging Face
Transformers (NLP)
RAG (Retrieval Augmented GenAI)
LangChain

MLOps

MLflow

DevOps

Docker
GitHub Actions
Jenkins
SonarQube

Frameworks

FastAPI
Flask
Streamlit
Spring Boot
React
Angular

Cloud

AWS
AWS SageMaker
AWS S3
AWS Lambda
AWS CloudWatch

Tools

Git
GitHub
Jupyter
VS Code
Postman
Jira
Confluence
Slack

Visualization

Power BI
Matplotlib
Plotly
Seaborn

Featured Projects

A selection of my recent work showcasing full-stack development and data science expertise

MLOpsModel MonitoringXGBoostPipeline Automation

Customer Churn MLOps

Production ML system with end-to-end MLOps pipeline, model versioning, monitoring, and automated retraining—demonstrating enterprise-grade data science and ML engineering capabilities.

PythonXGBoostMLflowAWS

Code

AWS SageMakerComputer VisionMLOpsCloud Deployment

Inventory Bin Count Classifier

AWS SageMaker-deployed computer vision model for real-time inventory quantification, showcasing cloud ML infrastructure, production deployment, and scalable inference.

PythonAWS SageMakerTensorFlowDocker

Code

NLPText ClassificationBERTModel Benchmarking

Disaster Tweets NLP Benchmarks

Multi-model NLP comparison framework benchmarking LSTM, BERT, and traditional ML approaches for text classification—demonstrating rigorous ML experimentation and deep NLP expertise.

PythonTensorFlowPyTorchScikit-learn

Code

Transfer LearningCNNComputer VisionTensorFlow

Dog Breed Classification

Transfer learning pipeline leveraging MobileNetV2 to classify 120 dog breeds, demonstrating computer vision mastery and production-ready deep learning architecture.

PythonTensorFlowKerasJupyter

Code

XGBoostRegressionFeature EngineeringEnsemble Methods

Heavy Equipment Price Prediction

End-to-end regression project predicting bulldozer auction prices with advanced feature engineering, XGBoost ensembling, and RMSLE optimization on real-world commodity data.

PythonXGBoostScikit-learnPandas

Code

View All Projects