Nikhil Nainani

Lead ML Engineer

Dubai, United Arab Emirates9 yrs 10 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Led AI transformation journeys at Palantir.
Developed a revenue-generating FX hedging tool at Goldman Sachs.
Utilized machine learning for fraud detection at Google.

Stackforce AI infers this person is a Fintech and AI specialist with strong quantitative research capabilities.

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Skills

Other Skills

Algorithm DesignAnomaly DetectionArtificial Intelligence (AI)CC++Commodity MarketsData ScienceDeep LearningDerivativesFX HedgingFinancial Risk ManagementFlaskGoogle BigQueryGoogle Cloud DataflowGraph Theory

About

At Palantir, I am helping organisations drive value through AI, Ontology and Data driven workflows As an angel investor I'm particularly interested in participating in F&B companies, especially in the healthy alternatives market and in the hardware/manufacturing space Previously, I was a machine learning engineer at Google, quant researcher at a hedge fund and a Strat at Goldman Sachs

Experience

9 yrs 10 mos

Total Experience

2 yrs 5 mos

Average Tenure

3 yrs 11 mos

Current Experience

Palantir technologies

2 roles

Forward Deployed Engineer

Oct 2024 – Present · 1 yr 8 mos

Leading 0 → 1 AI Transformation Journeys at large enterprises across industries.

Forward Deployed Engineer

Jul 2022 – Oct 2024 · 2 yrs 3 mos

Helping organizations make the most of their data by leveraging data driven workflows, machine learning and genAI.

Google

Machine Learning Software Engineer

Feb 2019 – Jun 2022 · 3 yrs 4 mos · Zurich, Switzerland

Using AI to help banks fight financial fraud and crime.
Previously: Using active-learning and unsupervised anomaly detection to prevent large scale abuse on Maps

Acceletrade

Quantitative Researcher

Mar 2018 – Feb 2019 · 11 mos

Using Machine Learning and Stochastic Calculus for High Frequency Trading.

Goldman sachs

Desk Strat

Jun 2016 – Feb 2018 · 1 yr 8 mos

Implemented flagship risk premium systematic trading strategies across FX, IRP and Commodities asset classes.
Implemented the back-end business logic for Passive Currency Overlay( Web-based Auto FX Hedging Tool) which earned a revenue of more 10 Million within the first 18 months of launch.
Automated several tasks, thereby reducing the client on-boarding time from more than 2 business weeks to under 30 minutes.