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Anjaneyulu Sadam

@anjaneyulusadam

Message

Financial analyst using Python, SQL, and GenAI to automate reconciliation and reporting workflows.

India

Message

What I'm looking for

I’m looking for a role where I can combine finance domain expertise with GenAI/LLM workflow automation—building reliable ETL, reconciliation, and governance-ready reporting—so stakeholders get accurate, auditable insights quickly.

I’m a technology-minded financial analyst and quantitative problem-solver with hands-on experience building GenAI-driven workflows, LLM-assisted pipelines, Python automation, and SQL-based data processing for finance and operations.

At Meta AI Financial Labs, I developed and deployed automated reconciliation and reporting pipelines, including ETL workflows sourcing FRED and EDGAR REST APIs. I reduced manual data preparation by ~50%, improved pricing model suite accuracy, and performed root cause analysis to fix data errors (e.g., a timezone lag that caused 8–12 bps spread errors on the 10-year IRS tenor), documenting solutions for governance and audit requirements.

I also trained and evaluated LLM workflows—building a personal GPT on 14,685 domain-specific samples and evaluating 500+ LLM outputs for RLHF training pipelines. Across projects and consulting work (including WorldQuant BRAIN), I focus on end-to-end delivery: reliable data validation, reconciliation automation, and clear stakeholder-ready reporting that turns complex quantitative results into actionable decisions.

Experience

Work history, roles, and key accomplishments

Current

Quantitative Modeling Contractor

Current

Meta AI Financial Labs

Jun 2026 - Present (0 months)

Developed automated ETL and reconciliation workflows using FRED and EDGAR REST APIs, reducing manual data preparation by ~50% while improving pricing model accuracy. Performed daily IRS discount factor reconciliation and root cause analysis, fixing a timezone normalization bug that caused 8–12 bps spread errors on the 10Y tenor.

Python SQL ETL REST APIs IRS Pricing Analytics Root Cause Analysis Prompt Engineering

Current

Research Consultant

Current

WorldQuant BRAIN

Jun 2026 - Present (0 months)

Built Python automation workflows to process and validate US TOP3000 equity research data, including look-ahead detection, survivorship bias checks, and data quality validation. Evaluated 500+ LLM outputs for RLHF training pipelines with 95%+ quality scoring and supported LLM integration via prompt design and testing.

Python Data Validation Look Ahead Bias Checks Survivorship Bias Detection Equity Research Data Processing Prompt Design LLM Evaluation RLHF Pipeline

AI Data Trainer

Outlier AI

Nov 2024 - Jan 2025 (2 months)

Evaluated and optimized 500+ LLM outputs for RLHF training pipelines, maintaining 95%+ quality scoring. Built structured assessment frameworks for AI accuracy, classification quality, and information extraction.

Prompt Evaluation Classification Quality Checks LLM Failure Mode Analysis

Education

Degrees, certifications, and relevant coursework

VIT-AP University

Bachelor of Technology, Computer Science & Engineering

Grade: CGPA 8.07

Pursuing a B.Tech in Computer Science & Engineering at VIT-AP University, with CGPA 8.07 and coursework including Statistical Modelling, Linear Algebra, Probability, DBMS, and Data Structures & Algorithms.