Vedartham Ritvik

Generative AI Developer with hands-on experience building intelligent backend systems and multi-agent GenAI solutions. Skilled in Python, Flask, Java, and advanced frameworks such as LangGraph and Google ADK. Developed LLM-powered applications involving RAG, data integration, and scalable AI architectures.

Strong proficiency in SQL, MongoDB, data pipelines, and AI/ML workflows. Known for optimizing model integration, improving system performance, and contributing innovative ideas to accelerate AI solution development.

Associate Engineer at Virtusa (2024-01 – Present)

• Designed and developed end-to-end validation systems for GenAI, such as a Data Corpus Validator for various types of datasets (structured and unstructured), which checks for schema integrity, quality, and statistical consistency across large-scale inputs.
• Engineered audio and video content validation pipelines to detect AI-generated media, deepfakes, toxicity, and policy violations that reduce manual moderation effort by 60%+ due to automated risk scoring.
• Designed Prompt Validator framework that detects jailbreak attempts, prompt injections, and unsafe patterns using rule-based and LLM-assisted analyses to improve coverage for guardrails by 50% and reduce misuse risks.
• Created a scalable evaluation framework featuring synthetic ground-truth generation, LLM-based judging, and quality scoring with RAGAS, MLflow, and Hugging Face, resulting in 40% faster model evaluation cycles.
• Designed autonomous multi-agent workflows using LangGraph and Google ADK, enabling fully automated QA review loops and raising operational throughput by 2×.
• Developed a high-performance Talend DI POC to ingest and transform 1M+ data rows from diverse sources, improving data processing efficiency by 40%.
• Built scalable ETL pipelines with robust schema mapping, data quality checks, validation rules, and complex transformations, reducing manual intervention by 60%.
• Achieved Talend DI Developer Certification (Jan 2023), validating expertise in ETL design, workflow orchestration, and enterprise data integration.

Intern at Virtusa (2023-01 – 2023-12)

• Developed a high-performance Talend DI POC to ingest and transform 1M+ data rows from diverse sources, improving data processing efficiency by 40%.
• Built scalable ETL pipelines with robust schema mapping, data quality checks, validation rules, and complex transformations, reducing manual intervention by 60%.
• Achieved Talend DI Developer Certification (Jan 2023), validating expertise in ETL design, workflow orchestration, and enterprise data integration.

Bachelor of Technology in Computer Science Engineering – MLR Institute of Technology (2023-12)