All Work

Every project,
every detail

A complete catalogue of systems, tools, and products I've built across machine learning, backend infrastructure, and data engineering.

AI Sentiment Analyser
PyTorch BERT FastAPI React Docker Redis ONNX

AI Sentiment Analyser

Real-time sentiment analysis of customer reviews using fine-tuned BERT with a FastAPI backend and React dashboard processing 100K+ reviews daily.

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Stock Price Predictor
TensorFlow LSTM AWS Lambda DynamoDB yfinance TorchScript

Stock Price Predictor

LSTM-based time-series forecasting model with Monte Carlo dropout confidence bands, deployed serverlessly on AWS Lambda for under 200ms predictions.

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Customer Churn Pipeline
XGBoost MLflow Prefect PostgreSQL Grafana Great Expectations

Customer Churn Pipeline

End-to-end MLOps pipeline for churn prediction with automated retraining, data drift detection, and Grafana monitoring — built on MLflow, Prefect, and XGBoost.

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RAG Document Q&A
LangChain FAISS GPT-4 FastAPI Streamlit BM25

RAG Document Q&A

Retrieval-Augmented Generation system for private document Q&A using LangChain, FAISS vector search, and GPT-4 — supporting conversational follow-up questions.

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Real-time Data Dashboard
Kafka Spark ClickHouse Superset Kubernetes Helm ArgoCD

Real-time Data Dashboard

Scalable Kafka → Spark Streaming → ClickHouse pipeline ingesting 100K+ events/second, visualised in a self-service Apache Superset dashboard on Kubernetes.

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Multi-Cloud Cost Optimiser
Python AWS GCP Terraform pandas boto3 Click

Multi-Cloud Cost Optimiser

Python automation tool that analyses AWS and GCP billing APIs, identifies waste (idle instances, unused EBS, orphaned snapshots), and auto-generates Terraform remediation scripts.

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LLM Code Review Bot
FastAPI Celery Redis PostgreSQL OpenAI GitHub API Docker Kubernetes

LLM Code Review Bot

A backend service that hooks into GitHub Webhooks and runs GPT-4 to post line-by-line code review comments on every pull request, with smart deduplication and configurable severity rules.

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