Looking for a job

Nishant Gaurav

@nishantgaurav

Senior Data Scientist who builds — LLM evaluation, agentic AI, and the production systems that run them. 10+ yrs tech, on Google's Gemini program.

India

Message

What I'm looking for

I'm targeting senior-level opportunities in Artificial Intelligence and Data Science, leveraging my expertise in Generative AI, LLM Evaluation, Agentic AI, Synthetic Data, Machine Learning, Experimentation, and AI Quality.

At Turing, I lead data generation and evaluation initiatives for Google’s Gemini agentic capabilities. I’ve scaled AutoQC across annotation teams, reducing reviewer workload by 70–80% and QC turnaround from days to minutes.

I designed AutoQC with precision/recall assessment and benchmark and holdout validation, reaching 0.90–1.00 precision/recall across 16 production dimensions. I also built evaluation workflows for 14+ frontier models, supporting 100 parallel containers and reducing evaluation turnaround by about 50%.

Previously at Turing, I owned and executed more than 50 A/B experiments across product, vetting, search, and integrity. My work included an intervention that reduced detected cheaters by 33.6% without significantly affecting legitimate pass rates.

Earlier, at Nidara Children, I applied statistical and machine-learning methods to evaluate an early-childhood development product. At Locus Technologies, I engineered Edu Manage, a Java/J2EE-based management information system for educational institutions.

Experience

Work history, roles, and key accomplishments

Current

Sr. Data Scientist & Discipline Lead

Current

Turing

Mar 2024 - Present (2 years 6 months)

Leading large-scale data generation and evaluation for Google's Gemini agentic capabilities. Designed AutoQC, scaled evaluation platforms, and reduced QC turnaround from days to minutes.

LLM Evaluation LLM As A Judge Agentic AI Synthetic Data Generation Docker Python BigQuery GCP Vertex AI fastAPI YAML Pydantic Precision Recall Error Analysis Benchmarking

Data Scientist II

Turing

Jan 2023 - Feb 2024 (1 year 1 month)

Owned and executed 50+ A/B experiments across product portfolio, applying Frequentist and Bayesian inference. Authored experimentation playbook and led product integrity initiatives.

A B Testing Experimental Design Frequentist Statistics Bayesian Inference (PyMC)Power Analysis Chi Square Mixed Effects Models ROPEs Growthbook Python SQL BigQuery

Data Scientist I

Turing

Jun 2022 - Dec 2022 (6 months)

Led A/B experimentation across developer vetting role types, driving experiment design and statistical planning. Identified predictive vetting components and contributed to a 46% improvement in interview pass rate.

A B Testing Experimental Design Statistical Analysis Python SQL Predictive Analytics

Senior Software Engineer / Data Scientist

Nidara Children

Sep 2020 - Sep 2021 (1 year)

Applied statistical and machine-learning methodologies to evaluate intervention efficacy for an early-childhood development product. Translated findings into actionable product insights.

Statistical Analysis Machine Learning ANOVA Reliability Testing Python

Software Engineer

Locus Technologies

Feb 2016 - Aug 2020 (4 years 6 months)

Engineered Edu Manage, a Java/J2EE-based Management Information System for educational institutions. Led knowledge-transfer engagements and trained client teams.

Java J2EE Software Engineering Customer Training

Education

Degrees, certifications, and relevant coursework

Indian Institute of Science

PG Advanced Certification, Computational Data Science

2021 - 2022

Pursued a Post Graduate Advanced Certification in Computational Data Science, focusing on advanced computational methods and data science applications.