Sounish Nath

Software Engineer Backend & Data Platform flock.sinasini@gmail.com

www.linkedin.com/in/sounishnath www.github.com/sounishnath003


Technical Skills

  • Languages: Python, JavaScript, Java, Golang, SQL
  • Frontend: React.js, Angular, HTML5, CSS3, TypeScript, TailwindCSS
  • Backend: Node.js, Django, Go, RESTful APIs, Graphql, Apache Spark, Kafka, Event-driven systems, Microservices, Airflow, Big Data, Hadoop, Data warehousing, Oracle, Agile
  • Cloud & DevOps: GCP, AWS, EC2, S3, SQS, Pubsub, Docker, Kubernetes, CI/CD
  • Databases: BigQuery, PostgreSQL, MongoDB, Redis, SQL Server

Work Experience

Software Developer 2 Oracle, Bengaluru

April 2025 - Present

  • Working on Oracle Cloud Fusion BI backend microservices serving 1M+ daily customers.
  • Engineering an AI-driven sidecar in Python on OCI AI Stack for Oracle Fusion SCM to diagnose slow report jobs (>10s), leveraging SQL traces and job metadata to generate auto LLM-based RCA and developer annotations.

Software Developer Tata Consultancy Services, Mumbai

August 2021 - April 2025

  • Migrated 40.2 M+ daily async tasks to Pub/Sub, Beam, and Cloud Run, cutting ops costs by 68%.
  • Designed and implemented backend services, ensuring BigQuery data lake backup and assets discovery management.
  • Built Graphql Data as Service API (300ms P95), handling 3.5TB/month, reducing latency by 60%, scaling to 3x traffic.
  • Led the 60+ regional containerised deployments of Docker and K8S for a global monitoring and observability platform built on Zabbix.
  • Launched GHD Rover – an AI search platform using Hugging Face, an enterprise search platform using vector databases, achieving 88.4% accuracy with hyper-personalised LLM recommendations.
  • Reengineered a distributed job server with Golang, Kafka, and Postgresql, replacing PHP and improving SQL analytics performance by 64%.
  • Implemented scalable data pipelines using Apache Spark, Hadoop, Kafka, and Delta Lake, handling up to 300GB of batch and streaming data.

Personal Projects

Referral Emailer Service – AI-powered, Self-hosted, Performant, Full control in Go.

Github YouTube

  • Engineered a self-hosted, high-performance cold emailing tool using Golang, Echo, and MongoDB, focusing on scalability and resilience.
  • Implemented a robust email queueing system with rate-limiting, retry logic, and error handling to optimise delivery reliability.
  • Utilised Redis caching for efficient data retrieval and enhanced performance, achieving faster response times.
  • Containerised the solution with Docker and deployed on GCP, ensuring elastic scalability and minimal downtime.
  • Tech Stack: Golang, Echo, Mongodb, GCP, Generative AI, Docker, Redis

IntervieewMe.AI - InterviewMe.AI – AI-Powered Interview Platform

Github YouTube

  • Developed a real-time, low-latency interview platform, WebRTC, async, reducing interview response times by 40%.
  • Architected a distributed microservices backend with load balancing and real-time data synchronisation, ensuring high concurrency and seamless user experience.
  • Tech Stack: Angular, NestJS, GCP, WebRTC, Gemini

Devika - Agentic AI Software Engineer

Github - Open source contribution

  • Designed and implemented a cross-cloud backend infrastructure using Docker Compose, Kubernetes, and Terraform, enabling multi-cloud deployments across AWS, GCP, Azure, and on-prem environments.
  • Optimised deployment cycles by 30% through CI/CD automation and container orchestration, ensuring high availability and fault tolerance.
  • Tech Stack: Docker Compose, Kubernetes, Terraform

URL Shortner Service - Golang

Github YouTube

  • Built a high-performance URL shortening service in Golang, utilising Log-Structured Merge Trees (LSM) for efficient writes and lookups.
  • Optimise data storage with Bloom filters for quick lookups, and leverage Redis caching to speed up 30%
  • Tech Stack: Golang, Redis, Bloom Filters, Base62 Encoder, REST

Medium Blogs Clone - Full-stack

Github YouTube

  • Developed a cloud-native microservices architecture using Golang, Angular, and Postgresql on Google Kubernetes Engine, ensuring high availability and scalability.
  • Enhanced backend performance with database partitioning, load balancing, and horizontal scaling to optimise for high traffic and reliability.
  • Integrated Google OAuth2 for secure, decentralised authentication, and architected event-driven mechanisms to process user actions asynchronously.
  • Tech Stack: Golang, Angular, Postgresql, Kubernetes, OAuth2

Education

B.Tech in Computer Science and Engineering

Brainware Group of Institutions | Graduation Year: 2021

  • DGPA: 9.27/10
  • Relevant Coursework: Problem-Solving, Data Structures, Algorithms, Software Engineering, Object Oriented Programming, Operating Systems, Databases, Machine Learning

Awards & Achievements

  • Solved 300+ problems on Leetcode. 4-star on Hackerrank.
  • Open-source contributor – 1000+ commits to major projects.
  • 1st prize in the Inter-college hackathon, coding competitions.
  • Secured AIR 2231 in TCS Codevita – 2020. AIR 5430 in Infosys coding competition 2020.