Krishna Azad Tripathi

About Krishna Azad Tripathi

I’m a Tech Lead (SDE/MLE 4) at Flipkart, leading a 20+ member team driving innovation in search semantics and query understanding. My work spans both embedding-based retrieval and the evolution of traditional lexical systems such as intent detection, category classification, and spell correction — all integrated with emerging GenAI capabilities at scale.In addition to technical leadership, I actively contribute to people growth, mentorship, and team building, enabling high ownership and long-term impact across the org. Key Highlights Leading IMMERSE — Flipkart’s flagship multimodal search experience combining visual and textual query signals Built and deployed embedding-based semantic retrieval, transitioning from traditional lexical-only systems Continuously enhancing lexical models including query intent, category classification, and spell correction Integrated GenAI signals into traditional pipelines to deliver hybrid, context-rich query understanding 7 — 3 granted and 4 under review — in GenAI, search systems, autosuggestion, and data quality systems Led the Selection Gap charter at Flipkart, delivering over $200M in incremental revenue Published research on multi-intent modeling in tail queries at ECIR 2020 Previously at Walmart Labs, worked on large-scale data platforms and analyticsTech & Leadership Skills: Java, Python, Apache Spark, ElasticSearch, ML/NLP, Vector Search, Relevance Evaluation Mentoring, team scaling, roadmap planning, cross-functional collaboration, ownership cultureHave completed Master\'s Degree with Data Science as major from Bangalore. There I have been amongst the top 10 students.

Experience

1. Software Development Engineer 4 (Ml Tech Lead)

   Flipkart

   Jul 2024 — Present · Bengaluru, IN

   Leading a 20+ member engineering team focused on advancing Flipkart’s query understanding and retrieval capabilities through embedding-based models and GenAI integration.Key initiatives- IMMERSE: Built and launched Flipkart’s multimodal search system blending visual and textual query signals- Semantic Matching: Transitioned from lexical to embedding-based retrieval models, significantly improving relevance and recall- Lexical + GenAI Fusion: Integrated generative signals with traditional search to enable context-aware, hybrid retrieval- Filed multiple patents spanning GenAI and core search semantics, while driving improvements in evaluation, resilience, and model quality.Driving the next wave of query intelligence to power more accurate, meaningful, and scalable search experiences.

Education

• International Institute of Information Technology Bangalore

  Master’s Degree, Specialization in Data Science(Information Technology)

  2014 — 2016

• Krishna Institute of Engineering & Technology

  Bachelor's Degree, Electronics and Communications Engineering

  2010 — 2014

• Adarsh Vidya Mandir, Mansarovar

  Schooling (1st to 10th standard)

• Tagor Vidya Bhawan, Mansarovar

  Schooling (11th and 12th standard), Science Maths

Skills

• Data Structures
• Hdfs
• Machine Learning
• Algorithms
• Html
• C
• Programming
• Numpy
• Core Java
• Music
• Apache Spark
• Scipy
• Javascript
• Struts
• R Programming
• Nosql
• Python
• Bootstrap
• Java
• Microsoft Office
• Mongodb
• Eclipse
• Linux
• Data Science