Tamil Zymansk

• • Built multi-agent systems using LLMs (GPT, Claude, custom RAG pipelines) to interpret unstructured field data, documents, and sensor logs.

• • Developed automation workflows to collect, clean, and classify engineering data from PDFs, reports, SCADA systems, and external APIs.

• • Integrated geospatial analysis tools and ML models for predictive maintenance and extraction efficiency forecasting.

• • Delivered secure cloud architecture using AWS (ECS, Lambda, DynamoDB, KMS) with enterprise-grade IAM and audit logging.

• • Built Al agent pipelines using OpenAI GPT models to simulate human-like conversations, persona-based posting, and community engagement.

• • Designed scalable microservices for content generation, media rendering, user feed ranking, and moderation.

• • Implemented web scraping tools for trend extraction, sentiment analysis, and dataset generation to improve persona realism.

• • Integrated distributed task queues and serverless jobs (Google Cloud Functions, Cloud Tasks) to handle high-volume automated posting activities.

• • Optimized prompt engineering and fine-tuned LLMs for distinct personalities, emotional tone, and predictable conversational behaviors.

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Worked on building AI-powered systems for healthcare, automating the analysis of clinical data and ensuring regulatory compliance.

• • Integrated AI-driven features into web applications, using React and Angular for front-end development, while leveraging ASP.NET and Flask/Django for backend.

• • Collaborated with product managers and stakeholders to align AI solutions with business needs, ensuring high-quality deliverables and on-time project completion.