Taru Shrivastava

I am a B.Tech student in CSE-AIML with hands-on experience fine-tuning large language models and building NLP systems. I apply practical ML engineering to deliver measurable improvements in model accuracy and training efficiency.

During an AIML internship I fine-tuned LLaMA and Mistral models with Hugging Face, improving accuracy by 22%, and built data-scraping pipelines that collected 50K+ records while reducing preprocessing time by 25%.

I develop full-stack prototypes and microservices — including Flask-based APIs backed by PostgreSQL — and build user-facing applications such as a tone-adaptive email reply system and a real-time group video watching platform with sub-200ms latency.

I lead the AI Club at my institute, organize workshops for 200+ students, and hold certifications in Python for Data Science and Machine Learning. I seek roles where I can advance LLM deployment, NLP pipelines, and scalable ML systems.