Looking for a job

Nusrath Syed

@nusrathsyed

Message

I build multi-agent AI, RAG systems, and predictive models for business decisions.

India

Message

At Anblicks, I build multi-agent conversational AI that turns natural-language requests into accurate SQL and context-aware insights. I've also delivered RAG chat engines, LLM-based financial-risk assessment, and streaming models across 5,000+ transformer nodes.

Previously at DBS Bank, I led hyper-personalization and next-best-interaction systems, delivered 200+ propensity models, and built multilingual conversational AI capabilities for English, Hindi, Telugu, and Tamil.

At Ernst & Young, I independently proposed and implemented OCR, NLP, e-discovery, fraud analytics, and information-governance solutions, while mentoring teams for clean handovers.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

Anblicks

Sep 2023 - Present (3 years)

Designed and delivered a multi-agent conversational AI for natural language to SQL query translation, built a RAG-powered chat engine with vector database integration, and developed an LLM-based transactional assessment system for financial risk evaluation and fraud detection.

RAG Prompt Engineering LangGraph Agno Gemini Vector Search Faiss ChromaDB Pinecone Azure Search Python SQL BERTopic DBSCAN TF IDF BERT MLFlow Docker Kubernetes Jenkins CI CD

Data Scientist

DBS bank

Dec 2019 - Sep 2023 (3 years 9 months)

Led the development of a customer-centric Hyper-Personalization Machine Arbitration Engine that determines the next best customer interaction optimizing long-term customer value and expanding the customer base.
Designed 3 predictive models (Acquisition, Usage, Retention) to assist marketers in identifying potential buyers.
Implemented 200+ models that targeted individuals their first purchase

Python Machine Learning MLOps MLFlow Model Training Model Monitoring Model Evaluation Feature Engineering Feature Stores Generative AI Machine Learning Engineering ML Pipelines ML models

Consultant

Feb 2017 - Dec 2019 (2 years 10 months)

Developed an end-to-end OCR pipeline and Contract Entity Extraction for legal documents, addressing challenges like skewed,

inverted, and low-resolution documents, leveraging ML techniques, ensuring accurate and efficient extraction.

Played a key role in Technology Assisted Review processes to facilitate document analysis and categorization.