May 2023 – Aug 2024 · 1 yr 3 mos · Bengaluru, Karnataka, India · Hybrid

• Worked in AWS Lambda for creating pipelines, handling security patches and driving development for required business.

May 2022 – Apr 2023 · 11 mos · Bengaluru, Karnataka, India · Remote

• Worked in Product feed, handling widgets, collections and nav-bars for organic, ds enabled and ads search.
• Merged multiple high uses redis to decrease the cost as per optimisation.
• Worked on migrating amazon elastic to elastic.co for cost optimisation and better customisation.
• Worked on separating out multiple small chunks from central monolithics to better monitor and parallelize tasks which later on helped in platformization of core services for the team.

Aug 2020 – May 2022 · 1 yr 9 mos · Bengaluru, Bengaluru North, Karnataka, India · Remote

• Worked on NDHM implementation for every doctor-patient details sharing with their unique HealthIds.
• Created supply-chain management for labs drive, different vaccines and other tests.
• Made clinic-reception-doctor polyclinic-structured flow.

Apr 2019 – Jan 2020 · 9 mos · Noida Area, India · On-site

• Worked on micro-services with Java, Spring, Spring Batch, ElasticSearch, MongoDb, Mysql, Cassandra.
• Converted the whole monolithic project into multiple micro-services architecture.
• Worked on Openfire for instant messaging and sharing files one to one, groups and team, maintaining the status, used ElasticSearch, MySQL and Cassandra to store data, and Memcache for caching.
• Rectified the data storage schemes from ElasticSearch one node to multi nodes.
• Made spring batches for automation of the whole mail processing of 12 lakh records on per day basis.
• Made a whole process for file sharing by IPFS.
• Created 100s of APIs for processing data, from server to client and vice-versa.

Jun 2018 – Apr 2019 · 10 mos · Navi Mumbai · On-site

• Worked on micro-services with java, ElasticSearch.
• Worked on projects of nodes, which:
• 1. Upgraded all the firmware and software of nodes automatically. (Technology used are ElasticSearch, Java, Jetty)
• 2. Linked the nodes by graphDb for whole processing to be automatically. (Technology used are Neo4j, ElasticSearch, Java, Jetty)
• 3. Automate all the spark jobs for fetching and processing the large data. (Technology used are Spark,Java, Jetty(for job scheduling), ElasticSearch)
• 4. Automate all the spark jobs dependencies to one-another. (Technology used are Neo4j, Spark, ElasticSearch, Java, Jetty)

May 2017 – Jul 2017 · 2 mos · Phase VI Sas Nagar Mohali, Chandigarh, Chandigarh, India

• I learnt about backend development with java. it was a great experience.

Jun 2016 – Jul 2016 · 1 mo · Chandigarh Area, India

• It was a great Internship experience, where i learned java and embedded C and some interesting bots for competitions across inter colleges.