Headline

AI Engineer · Generative AI & LLM Specialist | PII Security · Model Optimization (TF/PyTorch/ONNX) | MTech 2026 · Open to AI Roles

About

AI/ML Engineer | MTech CS (2026) | LLMs · Secure Data Pipelines · Generative AI I build AI systems that are accurate, efficient, and secure — from LLM fine-tuning that delivered 20% accuracy gains, to end-to-end ML pipelines that handle structured and unstructured data with zero leakage guarantees. My 8+ months of industry experience spans two high-impact internships: → At Zyphron Technologies, I fine-tuned and integrated LLMs for PII detection, built encryption pipelines protecting sensitive data from database breaches, and engineered preprocessing workflows for multi-format document ingestion. → At L&T Technology Services, I designed an end-to-end automation framework covering data loading, model upload, inference, optimization (pruning & quantization), and production deployment — across TensorFlow, PyTorch, and ONNX — triggered with a single click. Technical Stack: Python · LLMs (fine-tuning, RAG) · TensorFlow · PyTorch · ONNX · Generative AI · Cloud ML Pipelines · Data Engineering · Model Optimization · AI Agents Currently completing MTech in Computer Science at Sri Ramakrishna Engineering College (2026) and actively seeking AI Engineer or ML Engineer roles where I can ship intelligent, production-grade systems. 📩 Open to AI/ML opportunities — keerthana393655@gmail.com

Location

Greater Coimbatore Area

Work experience

Artificial Intelligence Intern at Zyphron Technologies Private limited, Aug 2024 - Dec 2024 · 5 mos, Coimbatore, • Fine-tuned and integrated LLMs for automated PII detection across document types, improving model accuracy by 20% — reducing manual review time and compliance risk for enterprise clients. • Engineered encryption and retrieval pipelines for PII extracted from unstructured documents, ensuring zero data leakage even during database breaches or system failures. • Built end-to-end data pipelines for multi-format document ingestion (structured + unstructured), including preprocessing, validation, and encrypted storage — enabling secure AI-powered data handling at scale. • Contributed to the architecture of a secure AI platform that isolates and encrypts personally identifiable information, meeting enterprise data privacy compliance requirements.

Artificial Intelligence Intern at L&T Technology Services, Jan 2024 - Mar 2024 · 3 mos, Chennai, • Designed a one-click ML automation framework at L&T Technology Services — covering data loading, verification, model upload, inference, optimization, and production deployment — reducing manual pipeline orchestration from hours to minutes. • Built modular optimization pipelines incorporating pruning and quantization techniques, delivering production-ready models with measurable improvements in inference efficiency and model size. • Engineered cross-framework compatibility across TensorFlow, PyTorch, and ONNX, enabling teams to deploy optimized models regardless of the underlying ML stack. • Developed knowledge validation workflows to verify model integrity post-optimization, ensuring deployment-safe outputs across deep learning and Generative AI model types.

Education

Master of Technology - MTech, Computer Science, Sri Ramakrishna Engineering College

Vidyaa Vikas International School