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Vidit Hirve

@vidithirve

Machine Learning Engineer at The Venetian Resort, automating 13 forecasts and bringing variance under the 10% threshold.

United States

Message

At The Venetian Resort, I replaced a stale Excel forecast with 13 automated weekly forecasting models in Python and SQL Server. They brought forecast variance under the 10% threshold and saved two hours of manual work each week.

I also built a DataBricks SQL pipeline that scores about 60,000 Food & Beverage records per monthly run using Claude Sonnet 4.5, with results in a live Tableau dashboard. I migrated a three-model pipeline from BigQuery ML to DataBricks, matching the original GCP backtest results.

Earlier, I worked on a Bland AI voice agent that handled about 80% of routine admissions calls with human escalation, and built the YourBeat career-advice chatbot at EPICS at ASU. My work also includes OCR improvement, RAG prototyping, and preparing biomarker data for asthma and COPD detection models.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Engineer

Current

The Venetian Resort Las Vegas

Jun 2025 - Present (1 year 5 months)

Replaced a stale Excel forecast with 13 automated weekly forecasting models in Python/SQL Server, saving 2 hrs/week of manual work. Brought forecast variance under the 10% threshold and scored ~60,000 Food & Beverage records per monthly run with Claude Sonnet 4.5 in a DataBricks SQL pipeline.

Python SQL SQL Server Databricks GCP BigQuery Airflow Docker Medallion Architecture Claude Sonnet Tableau YAML K Means Davies Bouldin Elbow Analysis Google Address Validation API IMAP SMTP

AI Developer

Enrollment Marketing, Inc.

Mar 2025 - Jun 2025 (3 months)

Handled ~80% of routine admissions calls without staff, 24/7, with one Bland AI voice agent per institution grounded in its knowledge base. Saved 8 hours of work per client with a reusable enrollment forecasting web app.

Bland.Ai Prompt Engineering GuardRails Multipathing Call Logging Forecasting web app development scenario analysis Sensitivity Analysis

Artificial Intelligence Engineer

EPICS at ASU

Jun 2024 - Mar 2025 (9 months)

Built a working LLM career-advice chatbot (YourBeat) with Flask/JavaScript web service and LoRA/QLoRA fine-tuning research on Llama 2. Prototyped LangChain + FAISS RAG on a remote Linux GPU server and made 400+ MB of biomarker data usable for asthma/COPD detection models.

Flask JavaScript LoRAs QLoRA LLaMA 2 Lang Chain Faiss RAG Linux SSH Docker NVIDIA Python Pandas scikit learn XML FASTA JSON

AI Engineer Intern

Image Analyzer

Jun 2023 - Aug 2023 (2 months)

Improved text detection 20% over the existing OCR model by integrating RapidOCR with the in-house model in PyTorch, with pre-processing. Built a Python sandbox to benchmark open-source models on in-house data.

PyTorch EasyOCR OCR Python Benchmarking Pre processing