Ghanshyam

Backend Engineer with 5+ years of experience building scalable microservices and distributed systems using Node.js and Go. Experienced in gRPC, graphQL, MongoDb, PostgreSQL, Elasticsearch, and cloud-native applications, with a strong focus on performance optimization, production reliability, and resolving critical issues under pressure.

Software Engineer Consultant at Q1 TECHNOLOGIES (2023-07 – 2024-04)

• Contributed to the development and modernization of internal digital credit card application journeys, by implementing backend enhancements and collaborating with client engineering teams.
• Debugged and resolved production issues across existing applications, improving system stability and troubleshooting complex backend workflows.
• Revamped the centralized logging framework using Elasticsearch and Logstash, implementing Dead Letter Queue (DLQ) handling and resolving approximately 99% of log ingestion failures, significantly improving observability and production troubleshooting.
• Enhanced and maintained multiple backend services supporting credit card application workflows, delivering feature improvements and production fixes.
• Tech: Golang, Typescript, Nodejs, Oracle NoSQL, Elasticsearch (ELK Stack), Logstash, Kibana, gRPC, Docker, Git

Software Engineer at CYGNET INFOTECH (2021-05 – 2022-10)

• Designed and developed multiple microservices, including User, Authentication, Content, Search, Feed and Notification services, leveraging gRPC for efficient inter-service communication.
• Built a dedicated Search microservice supporting user search, content discovery, and autocomplete functionality to provide fast and scalable search capabilities across the platform.
• Developed a personalized Feed service that generated content recommendations based on user connections, interests, location, and other ranking signals.
• Delivered multiple proof-of-concepts (POCs) to validate new product ideas and technical approaches, while collaborating closely with cross-functional teams to refine requirements and drive implementation.
• Built an automated solution to process client-maintained game configuration spreadsheets, generating SQL migration scripts, validating data consistency, and identifying required schema changes for database updates.
• Tech: Golang, gorm, python, elasticsearch, postgres, redis, azure

Software Engineer at TRIGYN TECHNOLOGIES (2021-01 – 2021-03)

• Developed backend features based on technical requirements and designs provided by senior engineers.
• Contributed to the development of the Appointment module, implementing new functionality, optimizing paginated database queries, and resolving production issues and bugs to improve system reliability and performance.
• Tech: Nodejs, typescript, dynamodb, redis, aws

Software Engineer at NETCORE SOLUTIONS (2018-01 – 2020-11)

• Contributed in deploying, configuring, and administering production MongoDB clusters, automating operational tasks using Python and Ansible.
• Developed and benchmarked MongoDB sharded clusters, evaluating optimal shard key strategies for large-scale datasets and production workloads.
• Built a rule-based Recommendation microservice to deliver personalized recommendations.
• Developed and maintained the Voter microservice, collaborating with clients and data science teams to deliver evolving APIs and data transformation pipelines.
• Developed Dashboard microservices for analytics and metrics using Elasticsearch, Redis, and MongoDB.
• Developed the Ubique microservice for cross-channel user identification, registration, referral management, and user tracking across web, mobile, email, and SMS.
• Tech: MongoDB, Node.js, Express.js, Python, PyMongo, Golang, Ansible, Elasticsearch, Kibana, Redis

Master of Science (M.Sc.) in Computer Science – University of Mumbai (2015 – 2017)

Bachelor of Science (B.Sc.) in Computer Science – University of Mumbai (2012 – 2015)