Panith Ch
Analyst-AI/LLM @Innodata Inc | AI Engineer | Generative AI | Workflow Automation | Prompt Engineering Expert | Python | Multi-Agent Systems | n8n | Specializing in LLM , Attended RNS Institute of Technology - India
- Role
- Analyst-ai Llm at Innodata Inc.
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
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.
Experience
Analyst-ai Llm
Dec 2025 — Present
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
2024 — 2024
Find verified contacts for anyone on LinkedIn
Unifers gives sales teams verified emails and direct dials, enriched profiles, and outreach that lands in the inbox.
Free plan included · No credit card required
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.