Sai Teja M

Ai Ml Engineer @Bny Investments Mellon

US

Worked on BNY Mellon’s Risk Intelligence and Regulatory Document Automation platform to streamline the analysis of financial disclosures, regulatory filings, and risk reports, aligning closely with Basel Dodd-Frank, and internal compliance requirements.• Built end-to-end ingestion pipelines using Python (PyMuPDF, BeautifulSoup, Pydantic) and SQLAlchemy, processing over 9 million regulatory documents, investor statements, and internal risk memos, stored in PostgreSQL with traceable schemas for audits.• Engineered document-level and clause-level features including instrument exposure categories, embedded risk triggers, and temporal references using pandas, spaCy, and custom rule-based matchers, increasing model input signal quality by 23%.• Developed and fine-tuned transformer-based models (Longformer, FinBERT) for regulatory clause extraction and multi-label risk categorization, increasing classification F1 from 0.74 to 0.89 through targeted domain adaptation.• Leveraged LoRA and PEFT with Hugging Face Accelerate for low-resource fine-tuning on sensitive financial datasets, ensuring model deployments complied with SOX, SOC 2, and internal data governance policies.• Utilized Optuna for Bayesian hyperparameter optimization across 100+ experiments with early stopping and k-fold validation, logging model metrics and artifacts via MLflow and internal GitLab repositories.• Implemented Retrieval-Augmented Generation (RAG) workflows using LangChain, FAISS, and AWS Lambda to support real-time queries on archived regulatory documents, improving response accuracy by 28%.• Delivered interactive visualizations with Streamlit and Plotly for compliance analysts to explore AI outputs and flag exceptions, reducing manual review time by 35% and improving transparency in model decisions.

Narayana Junior College - Hyderabad

Intermediate, MPC

Bhashyam school - Guntur

10th, SSC

Auburn University at Montgomery

Master's degree, Computer Science

Amrita Vishwa Vidyapeetham

Bachelor of Technology, Computer Science