Professional Overview
AI & Data Science graduate (B.Tech '26) with hands-on experience building agentic RAG systems, LLM serving infrastructure,LLM Quantization , AI Agents and FastAPI backends. Interned at DinoDial on production LLM evaluation and prompt engineering. Seeking entry- level AI/ML roles.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Engineered and iterated system prompts for production AI voice agents
- Tuning conversational flows and edge-case handling across 500+ real-world calls.
- Identify optimal prompting strategies and enhance response quality
- Analyzed call transcripts to trace hallucinations and logic breaks.
- Revised prompt instructions to fix root causes.Monitored live agent behavior
Education
Field of Study: Artificial Intelligence and Data Science
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
