A highly experienced professional with 8+ years of experience in developing applications using Python, Node.js, Elasticsearch, SQL, Microservices and Data Pipeline.
Experienced in building efficient data pipelines using Jenkins, Kafka, Python.
Engineered search solution using Elasticsearch and TensorFlow.
Senior Software Engineer
MomspressoSenior Software Engineer
DiligenceVault (FinTech)Senior Software Engineer
FarmGuideData Quality Executive
10times.com (IndiaMART)Junior Developer
Droid SolutionsSoftware Engineer
Frankly.meFlask
Git
Jira
Tensorflow
Elasticsearch
ELK Stack
Visual Studio Code
Postman
Team management
Successfully led the migration of a legacy PHP project, including authentication, authorisation, user feed, and user profile to Golang.
Led the design, and implementation of asynchronous data streaming pipelines to Elasticsearch, Redis, and SQL databases using technologies Kafka, Airflow, Python, and Golang.
Mentored junior developers, providing them with guidance on software development and design principles.
Engineered a search solution through a robust 3-node Elasticsearch cluster, significantly enhancing search capabilities while slashing SQL read query load by 30%.
Solely led the end-to-end creation and integration of semantics-driven text search system using TensorFlow and Elasticsearch, elevating search efficacy by 80%.
Implemented a TensorFlow and Elasticsearch solution for identify duplicate and semantically similar answers in due diligence, reducing manual labor by approximately 50%.
Increased data synchronization efficiency through SQL-to-Elasticsearch pipelines using Jenkins, Cron jobs, Python.
Optimized numerous SQL procedures reducing processing time from 3 minutes to 30 sec, enhancing overall platform speed.
Core team member of India's biggest Crop insurance portal (www.pmfby.gov.in), contributed and looking over development.
Implemented a read-only data retrieval system using Elasticsearch, slashing query processing time by 56% and facilitating the swift purchase of insurance for 216 million individual farmers.
Contributed to admin dashboard for monitoring, filtering explicit content, moderating user accounts, and enhancing Quality Team efficiency by 25%.
Recommendation system utilizing Elasticsearch to track and store user preferences, enabling personalized content suggestions aligned with user preferences.
Developed Python-based backend APIs to support utility applications, including iOS and Android platforms, as well as children's gaming apps, integrating with MySQL and MongoDB databases.
Played a key role in refining quality control processes and rectifying misinformation, elevating the platform's credibility.
Collaborated with Engineering team to elevate event data quality, ensuring precise listings for optimal user engagement.