Homesh Rawat

AI Researcher

Bengaluru, Karnataka, India8 yrs 9 mos experience
Highly Stable

Key Highlights

  • Over 8 years of experience in Data Science.
  • Expertise in NLP and Recommendation Systems.
  • Proficient in state-of-the-art Deep Learning architectures.
Stackforce AI infers this person is a Data Science expert with a strong focus on NLP and scalable systems in Telecommunications.

Contact

Skills

Core Skills

Data EngineeringSoftware Development

Other Skills

AbinitioAerospikeCC++Customer 360Data AnalysisData ScienceElasticSearchKafkaLaTeXLog AggregationPython (Programming Language)Spring BootSupervised LearningUnsupervised Learning

About

Experienced Data Scientist with more than 8 years of experience in applied Data Science. My skills span across various verticals of Data Science including Machine Learning, Deep Learning, Natural Language Processing (NLP), Recommendation System & Distributed Computing. I completed my bachelors from Indian Institute of Technology Delhi (IIT Delhi) in 2017. My core area of expertise is in NLP and RecSys have worked on many supervised and unsupervised problems and have explored several state of the art Deep learning architectures Tools - Python, Keras, TensorFlow, Java, Apache Kafka, Elasticsearch

Experience

Eudia

AI Engineer

Aug 2025Present · 7 mos · Bengaluru, Karnataka, India · Hybrid

Earnin

Senior Machine Learning Engineer

Jun 2024Nov 2025 · 1 yr 5 mos · Bengaluru, Karnataka, India · Hybrid

Sharechat

2 roles

Lead Machine Learning Engineer

Promoted

Apr 2023Sep 2024 · 1 yr 5 mos

Data Scientist II

May 2021Apr 2024 · 2 yrs 11 mos

Netomi

2 roles

Data Scientist II

Promoted

Oct 2020May 2021 · 7 mos

Data Scientist

Sep 2018Oct 2020 · 2 yrs 1 mo

Bharti airtel limitied gurgaon

Software Engineer

Jun 2017Sep 2018 · 1 yr 3 mos · Gurgaon, India

  • Log Aggregation - Aggregating logs in Kafka from multiple servers and streaming data into ElasticSearch using Kafka Streams for faster querying. Created dashboards on kibana to monitor count of errors on servers and generating alerts. Implemented in Spring boot framework.
  • Customer 360 - Working on a highly scalable system with 40K TPS providing a holistic view of airtel's customer base across all lines of business. Using abinitio as the data transformation layer and Aerospike as the storage layer.
Log AggregationKafkaElasticSearchSpring BootCustomer 360Abinitio+3

Samsung research institute bangalore

Intern

May 2016Jul 2016 · 2 mos · Bangalore, India

  • Enhanced S-voice’s conversational capabilities by adding date-time handling. Handled date-time logic by breaking command into actions, contexts and keywords.

Education

Indian Institute of Technology, Delhi

Bachelor of Technology (BTech) — Computer Science and Engineering

Jan 2013Jan 2017

Stackforce found 100+ more professionals with Data Engineering & Software Development

Explore similar profiles based on matching skills and experience