Open to opportunities

Aditya Iyer

@adityaiyer2

Message

I build production AI systems that automate workflows, reduce risk, and improve decisions.

United Kingdom

Message

What I'm looking for

I'm looking to build production AI products that turn LLM, ML, and automation capabilities into measurable outcomes across real-world workflows.

I've deployed production AI systems for Vidos Solutions, Jarvis Invest, PNB Metlife, and MELA, from an agentic contract-review RAG system that cut review time from 30 to 12 minutes to real-time forecasting serving 50K+ users at sub-500ms.

I build across LLMs, retrieval, machine learning, intelligent process automation, and cloud deployment. My work includes fraud-scoring systems, demand forecasting, recommendation engines, document automation, and scalable data pipelines using Python, AWS, Azure, GCP, LangChain, FastAPI, React, PySpark, and Docker.

Experience

Work history, roles, and key accomplishments

Current

Founding Engineer (Part-time Venture Build)

Current

Music Event Leaders Affiliation (MELA)

Jan 2026 - Present (7 months)

Built and deployed an XGBoost event-demand forecasting system on GCP, increasing revenue per event by 15%. Designed a React dashboard for 40+ partners and a recommendation engine using Spotify API signals.

Python XGBoost GCP Vertex AI React TypeScript Geopandas PySpark BigQuery

AI Operations & Enablement Lead

Vidos Solutions Ltd

Mar 2026 - Jul 2026 (4 months)

Reduced contract review time by 60% by deploying a production RAG pipeline over 150+ procurement contracts. Built a FastAPI backend and React front-end to connect AI components to commercial workflows.

Python RAG LangGraph Faiss fastAPI React JSON Retrieval Evaluation

Data Scientist (Contract)

Jarvis Invest

Jan 2025 - Aug 2025 (7 months)

Served real-time price-volatility forecasts to 50K+ live users at sub-500ms using Python time-series models on Azure ML and Databricks. Automated drift detection and retraining pipelines with MLflow.

Python XGBoost Azure ML Databricks Docker CI CD MLFlow PySpark OpenAI API

Python and AI Programming Lecturer

David Game College

Jan 2024 - Jun 2024 (5 months)

Taught and mentored 70+ international students in Python, SQL, and predictive modelling, with 90% delivering deployable AI mini-projects.

Python SQL predictive modeling Teaching Mentor

Data Scientist (Contract)

PNB Metlife

Feb 2023 - Sep 2023 (7 months)

Built and deployed a supervised fraud-scoring system using XGBoost and Random Forest on AWS SageMaker, processing 12K+ monthly claims. Integrated MLflow drift detection and automated retraining pipelines.

Python XGBoost Random Forest AWS Sagemaker MLFlow Terraform GitHub Actions Docker SQL QuickSight

Data Scientist (Contract)

CRR BIZ Solutions

Jun 2022 - Dec 2022 (6 months)

Built and deployed a production fraud-scoring pipeline on AWS, processing 3K+ weekly transactions and reducing investigation time by 70%. Integrated Transformer-based anomaly detection.

Python AWS Hugging Face Kubernetes Spark GitHub Actions Docker CI CD