Meet Popat

Software Engineer

Bengaluru, Karnataka, India3 yrs 2 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in building scalable backend systems.
Proficient in search and machine learning infrastructure.
Strong leadership in operational excellence initiatives.

Stackforce AI infers this person is a Backend Engineer specializing in E-commerce and Big Data solutions.

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Skills

Core Skills

ArchitectureBig Data & StreamingSearch & MlInfrastructure & Devops

Other Skills

JavaPythonKubernetesApache KafkaApache SolrHBaseHadoop / YARNApache StormAirflowRedisSolrHadoopMapReduceMySQLDjango

About

Software Engineer with nearly 2 years of experience building distributed backend systems and high-throughput data infrastructure at Flipkart. I specialize in diving deep into system internals to reduce latency, eliminate bottlenecks, and drive massive scalability. Beyond writing code, I am passionate about collaborative problem-solving and mentoring peers to deliver reliable, business-driven solutions. I am a quick learner, always eager to adopt new technologies and architectural patterns in a fast-paced engineering environment. 🔧 Tech Stack & Tools: Java | Python | Kubernetes | Apache Kafka | Apache Solr | HBase | Hadoop / YARN | Apache Storm | Airflow | Vector Search (HNSW)

Experience

Flipkart

3 roles

Software Development Engineer-2

Feb 2026 – Present · 2 mos · Bengaluru, Karnataka, India · On-site

JavaPythonKubernetesApache KafkaApache SolrHBase+5

Software Development Engineer-1

Jul 2024 – Feb 2026 · 1 yr 7 mos · Bengaluru, Karnataka, India · On-site

Backend engineer @ Flipkart Search Team
1. Search & ML Infrastructure: Architected and deployed next-generation search capabilities, including real-time Vector Search (HNSW) and a 3-tier index for Personalized Retrieval. Transitioned the system from manual bootstraps to streaming ingestion, enabling daily model embedding refreshes and context-aware machine learning scoring at the L1 retrieval layer.
2. Performance Tuning: Accelerated terabyte-scale MapReduce indexing jobs by 2.4x via Hadoop/YARN tuning, and slashed Apache Solr search latency by 41% through advanced cache optimization.
3. Architecture & Resilience: Led the zero-downtime migration of stateful legacy services to Kubernetes. Designed active-active Kafka disaster recovery strategies and reclaimed 78TB of HBase storage for peak e-commerce sale events.
4. Operational Excellence: Built a full-stack Django/Airflow deployment framework that eliminated days of manual toil, and revamped the observability stack to reduce system alert noise by 80%.

ArchitectureSearch & MLBig Data & StreamingInfrastructure & DevOpsApache KafkaRedis+8