Mahenth Vasudev

• Evaluated complex structured-generation tasks for large language models (LLMs), including multi-step workflows with strict schema, formatting, and compliance constraints. • Authored system prompts and task specifications enforcing deterministic output formats (sectioned text, audit trails, ordered compliance blocks, termination markers), ensuring zero-tolerance for schema drift. • Developed and maintained automated Python-based verifiers to validate LLM outputs against business rules, ordering constraints, completeness checks, and edge-case conditions. • Performed comparative model evaluation across multiple frontier models (e.g., GPT, Gemini, Claude, Qwen), identifying systematic failure patterns and documenting model-specific weaknesses. • Created adversarial and edge-case prompts to intentionally stress-test models, including: o Partial input validation scenarios o Asymmetric rule enforcement across platforms o Minimum-count and truncation constraints o Continue-on-error vs fail-fast workflows • Analysed LLM failures related to: o Early termination behaviour o Incomplete entity rendering o Incorrect policy interpretation o Misordered or missing compliance sections • Produced gold-standard reference outputs that passed all automated verifiers, serving as benchmarks for model accuracy and consistency. • Collaborated with cross-functional teams to refine evaluation rubrics, reduce false positives/negatives in verifiers, and improve overall task reliability. • Documented findings and insights in structured reports to guide model selection, prompt hardening, and evaluation strategy improvements.

• Enhanced and maintained a multi-tenant CRM-ERP system by implementing new features and reports using SQL and Python. Developed and maintained scalable Python-based backend services using Django and Django REST Framework following SOLID principles and clean architecture. • Designed, developed, and implemented RESTful APIs ensuring compliance with HTTP protocol standards for efficient and secure client-server communication across a microservices-based architecture. • Implemented Test-Driven Development (TDD) practices using automation tools and frameworks such as pytest, unittest, and GitHub Actions, ensuring high test coverage, continuous testing, and reduced regression issues. • Implemented secure authentication and authorization mechanisms using OAuth2, JWT, and RBAC. • Optimized system performance by leveraging Celery + Redis for asynchronous task processing and background jobs. • Managed production-grade deployments using Docker, Nginx, and GitHub Actions CI/CD pipelines, improving deployment efficiency and reliability. • Designed and optimized relational database schemas and SQL queries using PostgreSQL and MySQL, ensuring data integrity and scalability. • Deployed, monitored, and maintained services on AWS (EC2, S3, Lambda, CloudWatch, RDS) with 2+ years of hands-on experience, improving system availability and observability. • Applied knowledge of data structures and algorithms (arrays, strings) to optimize API response times and backend data handling. • Collaborated cross-functionally with frontend teams for API integration, debugging, and performance optimization, ensuring seamless data exchange between backend and UI. • Contributed to Agile/Scrum processes — participated in sprint planning, daily stand-ups, and retrospectives, ensuring timely delivery of project milestones. • Conducted code reviews, mentored junior developers, and ensured adherence to industry coding standards, fostering a culture of quality and maintainability. • Demonstrated strong problem-solving and communication skills in cross-functional environments to identify issues and deliver efficient, scalable solutions.

• Led backend service development using Python (Django) for cross-application and microservices-based communication. • Developed and optimized RESTful APIs with JSON-based integration, ensuring scalable and maintainable architecture aligned with SOLID principles. • Performed SQL-based data extraction and reporting, improving data accessibility and performance. • Implemented TDD using automation tools such as pytest, unittest, and GitHub Actions for continuous testing and quality assurance.Refactored monolithic components into modular, testable microservices for better scalability. • Deployed and managed applications on AWS (EC2, S3, RDS) with Docker and GitHub Actions CI/CD. • Collaborated with frontend teams for seamless API integration and debugging. • Applied data structures and algorithms to optimize query and API performance. • Ensured high-quality deliverables through code reviews, Agile practices, and effective communication.