Rohit Nagmoti

Senior Software Engineer

Bengaluru, Karnataka, India9 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in scalable backend and big data engineering.
Proven track record in developing high-performance systems.
Strong educational background from BITS Pilani.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer in the E-commerce industry.

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Skills

Core Skills

JavaBig Data Engineering

Other Skills

PythonSolrSparkAirflowHdfsCouchbaseAerospikeSpring FrameworkAngularJSMongoDB

About

Experienced Software Engineer, currently working at Google. Skilled in Scalable Backend and Big Data Engineering, Distributed Systems, with interest in ML Engineering. Strong engineering professional with a B.E.(Hons) from BITS Pilani, Goa Campus.

Experience

9 yrs 9 mos

Total Experience

1 yr 11 mos

Average Tenure

4 yrs 7 mos

Current Experience

Google

Senior Software Engineer

Oct 2021 – Present · 4 yrs 7 mos · Bangalore Urban, Karnataka, India

Flipkart

Software Development Engineer II

Mar 2019 – Jul 2021 · 2 yrs 4 mos · Bengaluru Area, India

Part of Search Autosuggest team
Created user activity store to get events like product clicks, search queries with attributes and metadata in real time. Service level p99 latency under 5 ms. Used by different teams to create user context and to personalise user experience
Worked on creating personalised user experience in search autosuggest based on user's attributes affinities in short term and long term context
Created data platform for search autosuggest from scratch. Worked on schema definitions, data ingestion, data preparation etc. This is used for multiple use cases like ML model training for ranking, AB metrics computations, ad-hoc analytics etc.
Worked on sale events (5x - 10x scale) readiness for search autosuggest. Worked on benchmarking tests, ensuring high availability of systems, degradation levers etc. Also did few optimisations like API orchestration redesign to increase service throughput and reduce CPU usage.
Extended autocomplete to support multiple languages and multiple domains (index data ingestion, matching/ranking, serving etc)
Technologies used - Java, Python, Solr, Spark, Airflow, Hdfs, Couchbase, Aerospike etc

JavaPythonSolrSparkAirflowHdfs+3