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.