Selected work
AI systems built around real constraints.
A selection of agent, assessment, and multimodal ML systems. The work is ordered by the clearest evidence of production-minded AI engineering.
Python · LangGraph · LangSmith · AWS · GCP · Docker · Pinecone · Neo4j
01DevOps Agent - Autonomous Deployment Assistant
An LLM-powered DevOps agent that automates application deployments and configuration management across AWS, GCP, and Docker. Built with LangGraph and LangSmith, with Pinecone and Neo4j supporting vector retrieval and graph reasoning. Unit testing, defect analysis, and performance optimisation improved deployment reliability and reduced latency by 40%.
Read the case studyNext.js · Redis · PostgreSQL · LLMs · Speech-to-text
02DeepDSA - AI Technical Interview & Assessment Platform
A microservices-based AI interview platform designed to scale to millions of concurrent users. The platform combines speech-to-text, LLM-powered natural language technical interviews, code evaluation, and skill scoring to improve assessment efficiency by 65%.
Read the case studyPython · CNNs · DNNs · NLP · Sentence Transformers · XGBoost
03Amazon ML Challenge - Product Price Prediction
An ensemble product price prediction model combining CNNs, DNNs, and natural language processing. Sentence Transformers, XGBoost, and multimodal feature fusion were used to predict prices from product descriptions and images, achieving an SMAPE score of 56 and a top-percentile ranking.
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