Madhav M.

AI Engineer, AI Platform & Developer Systems

N/A, India

Key Skills

Software

No software listed

Top Subject Matter

Production LLM systems for code generation and evaluation pipelines

Compiler development with statistical/intrinsic modules and automated testing

Top Data Types

Image

Top Task Types

No task types listed

Freelancer Overview

AI Engineer, AI Platform & Developer Systems — Visa Inc (R2D2). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and GitHub. Education includes Dual Degree (Bachelor of Technology and Master of Technology) (Honours), Indian Institute of Technology (BHU) (2024). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Evaluation, Rating, and Computer Programming.

Labeling Experience

AI Engineer, AI Platform & Developer Systems — Visa Inc (R2D2)

Built evaluation and CI validation pipelines to score and ensure quality of AI-generated code outputs in production workflows. Implemented security, linting, dependency checks, and test coverage metrics to measure reliability and correctness of generated artifacts. Drove cross-engineer adoption of the evaluation system to standardize AI code quality controls. • Used evaluation metrics and CI validation gates for AI-generated code quality. • Integrated evaluation into pull-request/CI workflows for safe deployment. • Coordinated with engineering teams to operationalize quality gates at scale. • Received the Visa Innovator Award for impact on production reliability.

2024 - Present

Compiler Developer, Google Summer of Code — Python Software Foundation

Extended the LPython compiler by implementing intrinsic math and statistical modules, modifying AST and core backend components in the compiler pipeline. Built compile-time and runtime test harnesses to validate correctness and stability across language features, effectively training/operationalizing model-like behavior via automated verification. Contributed intrinsic integrations (e.g., loop and array constructs) to expand numerical computing capabilities of the system. • Implemented compiler changes in core parsing/AST handling and backend execution paths. • Developed automated test harnesses for correctness and stability. • Integrated additional language constructs to broaden supported functionality. • Improved robustness through systematic validation of compiler behavior.

2022 - 2022

Education

Indian Institute of Technology (BHU)

Dual Degree (Bachelor of Technology and Master of Technology) (Honours), Mathematics and Computing

Dual Degree (Bachelor of Technology and Master of Technology) (Honours)

2019 - 2024

Work History

Visa

AI Engineer

N/A

2024 - Present

Worldquant

Research Consultant

N/A

2023 - Present