AI/ML Engineer with experience deploying models in financial and compliance domains, specializing in structured and unstructured financial data, LLM applications for document intelligence, and time-series forecasting.
ansh.riyal@nyu.edu
+1 (347) 207-1322
Manhattan, New York, USA
AI/ML Engineer with experience deploying models in financial and compliance domains, specializing in structured and unstructured financial data, LLM applications for document intelligence, and time-series forecasting. Proven track record of building scalable, production-grade ML systems with a focus on high-value use cases: credit risk, KYC automation, and adaptive learning. Actively seeking roles in fintech or quant ML with a focus on applied research and deployment.
Python (Preferred), C++, Java, R
TensorFlow, PyTorch, Keras, Scikit-Learn, Hugging Face
Prompt Engineering, Fine-Tuning (PEFT, Distillation, RLHF), LangChain, Generative AI
STT/TTS Systems, Structured Prompting
EDA, Modeling, Hypothesis Testing, Causal Inference (CDGs), Regression, Time Series
SQL, Spark, Hadoop, Dask, Tableau
AWS (SageMaker, EC2, S3), Azure, Docker
Bloomberg, Alpaca, PyAlgoTrade
The Purpose of Investing, Types of Investment, Risk and Reward, Portfolio Management
Technical Analysis, Fundamental Analysis, and Investment Analysis & Portfolio Management
Andrew Ng, IBM etc. (2021)