Jun 2021 – Apr 2023 · 1 yr 10 mos · Gurugram, Haryana, India · Remote

• ◦ Developed core modules for Audience Targeting, Ad Pixel Tracking, Ads Manager and Media Library, exposing REST and GraphQL API
• endpoints using Java, Spring Framework, MongoDB and Elasticsearch
• ◦ Developed scheduled Jobs for various tasks like auto importing Ads, Audiences, Pixels, Social Accounts, etc utilizing Apache Mesos.
• Integrated async data pipeline jobs using Apache Kafka
• ◦ Migrated 100s of REST API endpoints to GraphQL, moving multiple systems to new architecture
• ◦ Resolved hundreds of L3 requests to help retain the clients and participated in on-call support to troubleshoot production alerts
• ◦ Performed optimizations for MongoDB, Elasticsearch and JVM heap usage to improve efficiency of data-intensive async jobs and API
• response times to sub 300 ms. Optimized core Image compression pipeline which handled a traffic of over 10,000 request per second
• ◦ Worked closely with ITOPS team to deploy microservices onto Kubernetes clusters hosted on AWS, Azure and GCP using Jenkins CI/CD
• ◦ Carried out Test Driven Development practices implementing unit tests and integration tests using Mockito and JUnit

Mar 2021 – Jun 2021 · 3 mos

• Worked as a Software Developer focusing on building E Commerce Product modules.
• Integrated Payment systems like Stripe, Razorpay.
• Developed Subscription Billing Module
• Developed Discount and Coupon Management Module

May 2020 – Aug 2020 · 3 mos

• Worked with The NetBSD Foundation as a part of GSoC 20.
• Worked on fuzzing the NetBSD network stack using rumpkernel
• Implemented fuzzing tests for IPv4, IPv6, UDP, ICMP, Ethernet protocols
• Link to GSoC Project Page: https://summerofcode.withgoogle.com/projects/#6486401496907776
• Link to the final Code Submission: https://github.com/NJnisarg/fuzznetrump

May 2020 – Jul 2020 · 2 mos

• Worked with Samsung Research Bangalore, India. Part of the Networks R&D Team.
• Worked on 5G networking under the A6G(Above 6GHz Protocol) Team.
• Worked on improving and optimizing specific functions of the MAC Scheduler of the MAC Layer of 5G NR network stack.

May 2019 – Jul 2019 · 2 mos · Kolkata Area, India

• Worked on the system architecture and design as well as the Data mining/Text mining aspects of the project "A Platform for Cross-lingual and Multilingual Event Monitoring in Indian Languages" as a research fellow at IIT KGP under the guidance of Dr. Sudeshna Sarkar.
• The project is a Govt. of India funded project being worked upon by 5 leading institutions of India led by IIT KGP. The project tries to carry out information extraction and summarization from varied news data sources using Deep learning and NLP techniques.
• Focused mainly on the machine learning backend pipeline and system. Implemented the communication amongst the machine learning modules. Also worked on implementation of novel techniques for coreference resolution and argument linking in the context of natural language systems for event related data.
• Used tools like docker and vagrant for system setup, used RabbitMQ as message broker between various backend services. For NLP modules, used tools like AllenNLP, Elmo, pytorch, spacy etc

Oct 2017 – Mar 2020 · 2 yrs 5 mos

• Led the Software Development team at Quze.
• Developed and deployed the backend system and cloud infrastructure for Quze.
• Developed the Educational credentials issuing and verification system based on blockchain technologies.
• Worked on developing the platform that aggregates all the learning resources from various providers and allows users to take courses and helps them map out learning pathways.