Ayush Goel

AI Researcher

Gurgaon, Haryana, India1 yr 4 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in High-Frequency Trading strategies.
Proficient in Generative AI and machine learning.
Strong background in big data engineering.

Stackforce AI infers this person is a Fintech professional with strong capabilities in quantitative research and data engineering.

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Skills

Core Skills

Quantitative ResearchQuantitative FinanceData ScienceGenerative AiMachine LearningData EngineeringData Analytics

Other Skills

ARCH modelsARIMAAndroidAzure Data StudioAzure DatabricksAzure Logic AppsBacktestBacktestingBig DataC (Programming Language)C++Clustering TechniquesCommunicationCompetitive ProgrammingComputer Architecture

About

Quant enthusiast with experience in HFT strategies, generative AI, and big data engineering. I blend finance, AI, and data to solve real-world problems whether it's modeling yield curves, fine-tuning LLMs, or automating pipelines. Always curious, always building.

Experience

1 yr 4 mos

Total Experience

8 mos

Average Tenure

11 mos

Current Experience

Futures first

2 roles

Quantitative Researcher/Analyst

Jul 2025 – Present · 11 mos · Gurugram, Haryana, India

Making HFT/MFT Strategies to capture Alpha in the market.
Working on VWAP Strategies to find statistical arbitrage opportunities for PnL.
Backtesting on L1, L2 Data using Python. (DuckDB, Numpy)
Working with Sierra Charts (C++).

HFT StrategiesVWAP StrategiesBacktestingPythonSierra ChartsQuantitative Research+1

Data Science Intern

Jan 2025 – Jun 2025 · 5 mos · Gurugram, Haryana, India

Implemented ARIMA and ARCH models for time-series analysis on STIR Futures. (Data Science)
Predicted volatility in the STIR market and conducted pair trading, order-book, and z-score analysis.
Built interactive data visualization tools for management and mentors to enhance strategic decision-making.
Designed, scripted, and automated HTML/PDF reports for diverse stakeholder requirements.
Applied feature engineering and clustering techniques for PnL Analysis.
Modeled yield curves for SONIA, EURIBOR, and SOFR strategies using Nelson-Siegel and Svensson models.

ARIMAARCH modelsData VisualizationFeature EngineeringClustering TechniquesData Science+1

Samsung india

PRISM Research Intern

Dec 2023 – May 2024 · 5 mos · Bengaluru, Karnataka, India

Evaluated RLHF combined with RLAIF against RLHF & RLAIF alone.
Worked on a Generative AI research worklet consisting of Natural language processing (NLP) and reinforced learning.
Fine-tuned Large-Language Models (LLMs) using Unsloth, PyTorch, Llama Studio, Transformers.
Applied AI constitution & reward models on such models.

Reinforcement LearningNatural Language ProcessingFine-tuning LLMsPyTorchGenerative AIMachine Learning

Adani digital labs

Data Engineering Intern

Aug 2023 – Dec 2023 · 4 mos · Gurugram, Haryana, India · On-site

Proficiently handled Big-data using PySpark, SQL, NoSQL and streamed into Gold, Silver, Bronze storage tiers.
Developed and implemented logic apps with Azure Logic Apps, streamlining the financial reporting process.
Created data pipelines using MongoDB and Azure Data Studio to seamlessly filter, shape data.
Successfully Automated manual data filtration tasks optimizing time-spent by 100%

Big DataPySparkSQLMongoDBAzure Logic AppsData Engineering+1