Sounish Nath
I make Kubernetes ☸️ orchestrate chaos & call it 'scalability' 🎭📈
Hey Friend 👋!, I simply love building softwares.
Programming Languages: Java, Python, Golang, Javascript, TypeScript, SQL
Frontend: HTML, CSS, Angular, Vue.js, Vite, RxJs, Graphql, TailwindCSS, Pinia, Node.js, Bun, NgRx
Backend: Nest.JS, Flask, Django, Go, Fiber, FastAPI, REST API, Express.js, GraphQL (Apollo Server), Mux, Go/Echo, Springboot
Databases: Redis, MongoDB, PostgreSQL, Oracle ADW, Elasticsearch
Libraries/Frameworks: Kafka, Pubsub, Apache Spark, Bigdata, Pyspark, Apache Airflow, Pytest, Unit tests
DevOps: Docker, Kubernetes, Terraform, OCI, GCP, Prometheus, Grafana, CI/CD
Deeplearning and AI: TensorFlow, PyTorch, Keras, scikit-learn, Hugging Face Transformers, Kubeflow, Torchserve, LLMs, Generative AI, langchain, CrewAI
Miscellenous: Cooking, Biking, Open source, FOSS, Self hosted
Oracle
Member of Technical Staff
- • Developed cloud-native microservices on Oracle Cloud Fusion Analytics Warehouse, utilizing OCI Kubernetes Engine, OCI Streaming, and Autonomous Transaction Processing to provide low-latency analytics for 1M+ daily users.
- • Built predictive analytics workflows in Fusion Intelligent Applications to capture real-time metrics and mitigate production failures, reducing downtime risk by 30% for enterprise customers.
- • Delivered an AI-driven sidecar service on the OCI AI & Data Science stack, automating RCA for slow-running Fusion SCM jobs and reducing triage time by 40%, boosting developer productivity by 20%.
- • Enhanced backend pipelines with adaptive query caching, parallel execution, and workload-aware resource allocation, improving report generation speed by 15%.
- • Collaborated with cross-functional teams to design efficient star and snowflake schemas in Oracle Fusion Data Intelligence, optimizing query performance for analysts.
- • Tech stack: Python, Java, Spring Boot, Spark, OCI, Autonomous Database, Git, Docker, Kubernetes Engine.
Tata Consultancy Services
Software Developer
- • Re-architected a distributed job orchestration engine using Go, Kafka, and PostgreSQL, replacing a legacy PHP service and boosting SQL analytics performance by 64 %.
- • Migrated 4.2M + daily async tasks to Pub / Sub, Spark, Hadoop, and Delta Lake, improving throughput and cutting infrastructure cost by 68 % across 300GB / day batch + streaming pipelines.
- • Built BigQuery - driven data lake backup and asset discovery services, improving compliance and data governance efficiency by 30 %.
- • Developed a low - latency GraphQL Data - as - a - Service API(300ms P95) processing 3.5TB / month, reducing latency by 60 % and scaling to 3× traffic.
- • Automated CI / CD with Docker, Kubernetes, and GitOps, reducing deployment lead time by 50% and increasing rollout reliability.
- • Launched GHD Rover, an AI- powered enterprise search platform using Hugging Face + vector databases, achieving 88.4 % accuracy with personalised LLM recommendations.
- • Tech stack: Python, SQL, Kafka, Spark, Go, Hadoop, AWS, GCP, PyTorch, web services, cloud infrastructure.
ERCESS Live
Frontend Engineer
- • Boosted user engagement with interactive search customizable filters, and KPI dashboards in Angular (Python, TypeScript).
- • Implemented Python-Django based Admin console and role-based (RBAC) access control
Brainware Group of Institutions
B.Tech in Computer Science and Engineering
- • CGPA: 9.27/10
- • Class 12th: 82.60%