Pkd

Key Skills

Software

AWS SageMaker

Other

Top Subject Matter

Conversational AI on AWS (RAG/Knowledge Base) for call center campaign workflows

Financial data quality engineering and matching logic supporting analytics

Mortgage data engineering for analytics and potential AI-ready datasets

Top Data Types

Computer Code Programming

Top Task Types

Question Answering

Freelancer Overview

Senior Consultant / Senior Developer. Brings 30+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include AWS SageMaker and Other. Education includes Master of Computer Applications, SNDT University and Bachelor of Science, Gujarat University. AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Question Answering, Computer Programming, and Coding.

Labeling Experience

Senior Consultant / Senior Developer — Speridian Technologies (Jan 2025–Present)

AWS SageMakerQuestion Answering

Built AWS Bedrock Knowledge Base solutions using RAG-based conversational AI chatbots to retrieve and answer user questions from indexed knowledge sources. Configured the system to streamline call center campaign setup workflows through conversational interactions. No explicit human labeling/annotation of training data is described, but the work involved integrating knowledge retrieval for AI responses. • RAG pipeline implementation using AWS Bedrock Knowledge Bases • Conversational AI chatbot workflow integration for operational use • Support for retrieval of relevant information for question answering • Automation of call center campaign setup using AI-assisted dialog

2025 - Present

Consultant — Millennium Capital Management (Jan 2022–Dec 2024)

Other

Engineered data validation and reconciliation logic for financial posting processes, improving data quality needed for analytical and model-facing datasets. Implemented SQL stored procedures and a cash wire matching engine with fuzzy parsing to reduce errors and improve consistency across multiple data sources. While not explicitly described as data labeling, the work functioned as structured data preparation/quality engineering for downstream analytics. • Rules-based validation engine for upstream calculations • Reconciliation across trader charges and netting/firms charges • Cash wire matching using fuzzy parsing and matching logic • SQL procedure optimization and use of Redis caching to reduce locking

2022 - 2024

Vice President — Cello Capital LP (2010–Jan 2022)

Other

Designed enterprise ETL pipelines for mortgage-related datasets from multiple sources (eMBS, Intex, FHFA, Credit Performance, HUD, and BLS). Built a Mortgage Data Slicer for loan and pool-level prepayment analytics and migrated components from SQL to PySpark/Hadoop. This experience is focused on dataset engineering for analytics rather than explicit annotation, but it enabled structured data generation for potential AI training. • Mortgage analytics/reporting platform architecture • ETL pipeline development for multiple mortgage data sources • Mortgage Data Slicer for prepayment analytics • Migration and modernization of data processing workflows

2010 - 2022

Education

Work History