Akanksha Shrimal

Machine Learning Engineer 2 @Glance

Bengaluru, IN

Work- Worked on LLM-powered personalization systems using Google Gemini, Gemma-12B, RAG, and in-context learning.Deployed and served self-hosted LLMs using Ollama on GPU-backed GKE for scalable inference.Built LLM-based semantic embeddings and LLM-as-a-Judge evaluation pipelines.Built and productionized real-time recommendation systems using Learning-to-Rank (LTR).Developed multi-stage ranking systems using LightGBM, XGBoost, and Two-Tower models with contrastive learning.Applied Multi-Armed Bandits and MMR for ranking optimization and exploration.Developed model retraining, monitoring, and drift detection pipelines for production ML systems.Key Roles and Responsibilities- 1. Design & Develop ML Models – Build and fine-tune ML/DL models to solve real-world problems.2. Productionize ML Solutions – Deploy models into scalable and reliable production systems.3. Experimentation & Optimization – Run experiments, track metrics, and optimize model performance.4. Model Monitoring & Maintenance – Ensure models stay accurate, fair, and efficient over time in production.

JECRC University

Bachelor of Technology - BTech, Computer Science

RUKMANI BIRLA MODERN HIGH SCHOOL

SENIOR SECONDARY EDUCATION, SCIENCE AND MATHS

Indraprastha Institute of Information Technology, Delhi

Master of Technology - MTech, Computer Science