Jan 2025 – Present · 1 yr 2 mos · Pune District, Maharashtra, India · Hybrid

• 1. Developing tools to enhance efficiency and accuracy in compliance processes
• Designing intelligent compliance monitoring tools that automatically track regulatory changes and update internal compliance frameworks.
• Creating automated validation systems that check data against regulatory standards, ensuring fewer manual errors.
• Implementing workflow automation that accelerates approval processes, audit readiness, and reporting timelines.
• 2. Implementing data engineering solutions to ensure regulatory compliance and maintain data integrity
• Applying data validation checks, schema enforcement, and deduplication to guarantee accuracy, completeness, and consistency.
• Leveraging cloud-native platforms (Snowflake, AWS, and other AI tools) with inbuilt governance to safeguard sensitive information.
• Maintaining audit trails and metadata catalogs for transparency and regulator-friendly traceability.
• 3. Utilizing AI tools to reduce manual efforts and repetitive tasks
• Deploying AI-powered bots to automate compliance checklists, monitoring logs, and periodic reporting.
• Implementing predictive analytics to proactively identify potential compliance risks before they escalate.
• Freeing up compliance teams from low-value manual tasks so they can focus on strategic decision-making.
• 4. Building GenAI agents using different LLMs and implementing multi-agent AI frameworks to improve efficiency and outcomes
• Developing specialized GenAI agents (e.g., risk analysis agent, audit support agent, policy summarization agent) tailored for compliance functions.
• Integrating multiple LLMs to handle different tasks (summarization, reasoning, anomaly detection, knowledge retrieval) in parallel.
• Implementing multi-agent collaboration frameworks, where GenAI agents communicate and cross-verify outputs to improve accuracy.
• Driving higher efficiency, faster insights, and improved compliance reporting through coordinated AI-driven automation.