Akshatha Aithal R

• Architected a RAG-based guided research system for AskDevEx using conversation history and LLM models, Implement Open Search, Novus capability for data retrieval, with custom LLM
  prompts for Intent and RAG solution.
  • Built and deployed 25+ microservices supporting advanced legal research with autoscaling capabilities via Datadog
  and Cumulus integration, establishing robust data pipelines and AWS infrastructure while collaborating across Product,
  Labs, App, and Ops teams.
  • Modernized search infrastructure by updating OpenSearch index properties and implementing user-defined TTL for
  S3/DynamoDB, optimizing data lifecycle management while enhancing monitoring through customized Datadog
  dashboards for real-time system insights.
  • Implementation of V3 API endpoints from conception to production, while mentoring a team of 7 engineers and conducting comprehensive knowledge transfer sessions to ensure consistent technical understanding across
  distributed teams.
  • Resolving CCSM and FedRAMP compliance issues while maintaining seamless production
  operations during multiple wheel integrations across Practical Law US & UK, Checkpoint and Westlaw.

Here's my overall contribution to all the projects

RAS

• Independently managed all production releases from CLEAR, Checkpoint.
• Led the AskDevEx project, collaborating closely with Labs and App teams to prepare it for Beta testing
• Helped the team implement Chaos testing along with the QA team, working with the Gremlin team to enhance system resilience. Planning to conduct tests every 15 days once fully established
• Took ownership of the new CoCounsel for Investigator Entity Extraction and Dossier Skill and ultimately moving to production

VARS - Big Data

• Embodying Thomson Reuters' "Act Fast, Learn Fast" value, quickly learned big data technologies to understand OpenSearch to RAS data flow
• Gained working knowledge of Scala, PySpark, EMR cluster creation, state machine workflows, Apache Hudi data retrieval, notebook operations, and OpenSearch data loading
• Successfully created and deployed an index for ANZ region with automated scheduling in QA and Production

VARS - UI (Search Config Index)

• Independently designed and implemented multiple components/features in the RAS configuration UI:
• LLM Profiles
• RAS Events
• Popular Phrases
• Rate Limits
• Search Discovery service
• Vector Indices
• Developed backend functionality for the Rate Limits feature in the search config index along with the implementation on Front end UI
• Applied expertise in Angular, TypeScript, NgRx, and Cypress to deliver robust frontend solutions

Labs

• Contributing to the mono repo project for AI skills development
• Currently migrating "Find a Drafting Language" skill to the mono repo to reduce maintenance overhead
• Demonstrated adaptability by quickly integrating into the Labs team and new project structure

Worked as a Full Stack Developer across RAS, VARS, UI, and Labs projects balancing multiple projects while maintaining quality work