Panith Ch
Analyst-ai Llm @Innodata Inc.
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WORK HISTORY
Analyst-ai Llm @Innodata Inc.
Analyst - AI/LLM Practice Innodata Inc. · Dec 2025 - Present · RemoteContributing to the optimization of enterprise-grade Large Language Models (LLMs) through Reinforcement Learning from Human Feedback (RLHF) and advanced data evaluation.Model Optimization: Evaluating and refining AI-generated outputs to minimize hallucinations and improve reasoning capabilities.Prompt Engineering: Analyzing prompt-response pairs to ensure high-fidelity, context-aware, and safe AI interactions.AI Safety & Compliance: rigorously testing models against safety guidelines to ensure responsible AI deployment.Domain Analysis: Applying engineering logic to assess model performance across complex coding and reasoning tasks.
EDUCATION
R.N.S Institute of Technology
Bachelor of Engineering
ABOUT PANITH CH
Dedicated AI Engineer and Generative AI Specialist with a focus on designing, deploying, and optimizing enterprise-grade solutions across visual media and business process automation.My expertise is centered on Prompt Engineering and architecting scalable, secure GenAI systems. I excel at translating complex requirements into multi-agent workflows that deliver measurable results.Key Achievements & Skills Highlighted:Generative AI Workflows: Specialized in building and integrating multi-agent systems, such as the Automated E-commerce Scene Generator.Workflow Orchestration: Proven ability to architect full-stack data pipelines using tools like n8n and the Google Gemini LLM to automate processes like user onboarding and content creation.Visual Media Solutions: Developed and deployed full-stack applications leveraging Google\'s Imagen and Veo APIs for advanced text-to-image generation, video synthesis, and editing.System Integration: Experienced in deploying secure LLM-based private data access points from public APIs and ensuring reliable execution for business-critical automated workflows.I am passionate about leveraging the latest advancements in AI to solve complex customer challenges and drive operational efficiency.
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