Ravindra Kumar

Data Scientist@Times Internet | Ex-Housing.com | RecSys | LLM | GenAI | Agentic RAG | Computer Vision | NLP | Data Science | IIT Kharagpur’21

Role
Data Scientist at Times Internet
Location
Gurugram, HR, IN
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Ravindra Kumar

Data Scientist with 4.5+ years of experience building large-scale recommender systems and production LLM/RAG platforms. Specialized in retrieval, ranking, and agentic AI systems deployed at scale to improve user engagement and editorial workflows.Contact at:r••••••••@gmail.com

Experience

  1. Data Scientist

    Times Internet

    Aug 2024 — Present · Noida, IN

    Recommender System• Built personalized feed and push notification recommendation systems serving 1.7M+ users across iOS and Android.• Designed candidate generation using WALS matrix factorization and ScaNN-based ANN search over 50K+ articles.• Developed ranking and re-ranking models with click normalization and position bias correction to optimize CTR.• Added a sampling-based exploration strategy in production to preserve content diversity and mitigate selection bias.• Productionized ML pipelines using TensorFlow (candidate generation) and PyTorch (ranking); orchestrated via Airflow.• Delivered 120% CTR uplift with stable DAU/MAU and +15% scroll depth at < 200 ms P95 latency on FastAPI/Kubernetes.2. Editorial Judgement System• Designed an LLM-powered editorial decision layer for feed and push distribution, aligned with human editorial standards.• Extracted structured editorial signals using LLaMA-3.1-70B with SFT and QLoRA for semantic content understanding.• Integrated LLM features with ML ranking and rules, achieving additional ∼ 80% CTR uplift and ASPIRE Award recognition.3. Agentic Editorial Knowledge Retrieval System (Archive RAG)• Built agentic RAG over TOI (4M articles) using Milvus + OpenSearch hybrid retrieval with cross-encoder reranking.• Designed metadata-aware retrieval with section and temporal routing for background, latest, and timeline editorial research.• Enabled LLM inference via vLLM (LLaMA-3.1-70B) with citation-grounded generation to ensure archive-first responses.• Deployed LangGraph-based agent pipeline in production on Kubernetes, reducing manual archive lookup for editors.

Education

  • Chaudhari Nihal Singh Inter College, Aimi Pilibhit (UP)

    Intermediate Education

    2014 — 2016

  • Indian Institute of Technology, Kharagpur

    Bachelor of Technology, Ocean Engineering and Naval Architecture

    2017 — 2021

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Ravindra Kumar — Data Scientist at Times Internet in Gurugram, HR, IN | Unifers