Saran Saran

Generative AI Engineer with hands-on experience building production-ready LLM pipelines, RAG systems, and intelligent document processing solutions. Proficient in prompt engineering, fine-tuning, and deploying scalable AI applications. Proven track record reducing manual workflows by 35 percent through AI automation.

Seeking

Generative AI Machine Learning Engineer role.

Data Science Intern - Generative AI Specialist - Iqubit Consulting LLP - Chennai

(2026-01 - 2026-03)

• Built Advanced Intelligent Document Processing IDP pipeline using Generative AI and Large Language Models including GPT-4 and Claude API to automate extraction of structured fields from unstructured documents, achieving 35 percent reduction in manual processing effort and processing 500 plus documents per day
• Engineered document classification module using Natural Language Processing and transformer-based models to categorize documents into multiple types with 92 percent accuracy, streamlining downstream routing and decision workflows
• Developed AI-driven autonomous agents using LangChain and Machine Learning frameworks to automate complex decision-making and integrate with production-ready data pipelines for real-time business insights
• Implemented Retrieval-Augmented Generation RAG framework with vector databases including FAISS and Pinecone for context-aware document analysis, reducing hallucinations by 40 percent and improving extraction F1-score to 0.94
• Designed prompt engineering strategies and optimized prompts using chain-of-thought reasoning and few-shot learning for domain-specific tasks and zero-shot scenarios
• Engineered preprocessing and data-cleaning pipelines using Python, Pandas, and NumPy to normalize 50000 plus documents, improving model input quality and extraction accuracy from 78 percent to 94 percent
• Deployed end-to-end LLM pipeline using FastAPI and Docker on AWS EC2 with sub-5 second latency, achieving production-ready performance

UI/UX Design Intern - Industrial Designs and Animations

(2023 - 2023)

• Conducted user research and built wireframes and interactive prototypes using Figma to translate user needs into intuitive interface flows for web applications with 85 percent user satisfaction
• Designed user-friendly interfaces with focus on accessibility and responsive design compatible across iOS, Android, and web platforms

Bachelor of Technology - Artificial Intelligence and Data Science - Dhanalakshmi College of Engineering (2022-10 - 2026-05)