CV

Professional Summary

Software Engineer specializing in AI/ML infrastructure, cloud-native systems, and Kubernetes orchestration. Proven track record of architecting enterprise-scale solutions with demonstrable performance improvements and cost optimizations across distributed computing environments.

Education

• Master of Science (MS) in Computer Science, University of Southern California, Viterbi, Aug. 2024 – May 2026
  • GPA: 3.92/4.0
• Bachelor of Technology (B.Tech) in Computer Science, National Institute of Technology Tiruchirappalli, Aug. 2018 – July 2022
  • GPA: 9.08/10.0
  • Relevant Coursework: Analysis of Algorithms, Artificial Intelligence, Advanced Operating Systems, Data Mining and Warehousing, Data Science, Machine Learning, Network Programming, Software Engineering

Work experience

• May 2025 – August 2025 : Software Engineer Intern, Nvidia DGX Cloud, Santa Clara, CA
  • Architected and developed enterprise-grade ovn-K8s operator to orchestrate multi-layered security policies across distributed K8s clusters, enabling granular node-level and bridge-level access controls for AI and Gaming workloads.
  • Engineered dynamic security framework utilizing NFTables and OpenFlow protocols to implement real-time, interface-level traffic filtering and policy enforcement, reducing security configuration overhead by enabling programmatic API-driven rule management across cloud infrastructure.
• June 2022 - July 2024 : Software Engineer, Oracle Cloud AI Services (OCAS), Bengaluru, India
  • Architected and optimized scalable AI inference platform serving Language, Speech, and Anomaly Detection services, processing 10M+ requests daily with sub-200ms latency for enterprise customers.
  • Led ARM & Kubernetes migration of 15+ microservices, achieving 99.98% service availability and 38% infrastructure cost reduction while maintaining zero-downtime deployments.
  • Designed asynchronous inference pipeline with distributed processing, reducing large input inference time by 40% and improving customer satisfaction scores by 25%.
  • Drove technical design reviews and feature development across US, UK, and India teams, delivering 8 major platform releases and establishing CI/CD best practices for ML model deployment.
• May 2021 - July 2021 : Software Engineer Intern, Oracle Digital Assistant (ODA), Bengaluru, India
  • Developed unified Flutter-based cross-platform SDK reducing mobile development overhead by 66% and enabling consistent UX across iOS and Android platforms.
  • Built multilingual conversational AI feature integrating OCI Language Detection and Translation APIs, enabling seamless communication in 8 languages for English-trained chatbots, increasing global user engagement by 30%.
• June 2020 – October 2020 : Machine Learning Intern, Crayon Data, Singapore (Remote)
  • Developed ensemble NLP model for contextual key-phrase extraction achieving 72% accuracy (15% improvement over baseline), processing customer reviews for retail analytics and implementing optimized inference pipeline reducing latency by 40% for short-text queries.

Leadership & Extracurricular

• Summer 2021 – Summer 2022 : Technical Secretary, Student Senate ‘21-‘22, NIT Tiruchirappalli
  • Led technical strategy and operations for 8,000+ students, overseeing 30+ technical clubs and research initiatives while directing flagship tech communities including Google Developer Student Club, TechOpenSource, and Women in Technology initiatives.
  • Organized university-wide hackathons and coding competitions attracting 500+ participants, fostering innovation culture and industry collaboration.

Technical Skills

• Machine Learning & AI: PyTorch, TensorFlow, CUDA, OpenCL, Triton, Scikit-learn, Hugging Face Transformers
• Cloud & DevOps: Docker, Kubernetes, Helm, Jenkins, Terraform, AWS, GCP, OCI
• Programming Languages: Python, Java, C++, JavaScript, TypeScript, Golang, Bash, SQL
• Frameworks & Databases: React.js, Node.js, Flutter, Android, MySQL, PostgreSQL, MongoDB, Redis
• Networking & Security: K8s networking, OpenFlow, NFTables, OVN, Service Mesh, Network Policy Management

Publications and Research

• Zero Knowledge Bi-Party Computation Using Oblivious Transfers for Recommendation Systems

  paper

  code

  • Pioneered privacy-preserving recommendation system using Zero Knowledge Proofs and Oblivious Transfers, ensuring user data protection while maintaining recommendation quality within 5% of non-private baselines.
  • Implemented cryptographic protocols integrating ZKP, Oblivious Transfers, and SimHash for secure collaborative filtering in distributed environments.
  • Built proof-of-concept web application using MERN stack demonstrating practical privacy-preserving search capabilities.

Projects

• Zero Barrier

  SaaS, Cloud Deployment, AI Agents

  GitHub

  • Developing open-source intelligent cloud deployment platform leveraging AI agents for automated infrastructure provisioning, reducing deployment time from hours to minutes for complex multi-service architectures.
  • Implemented seamless GCP integration with Terraform automation, supporting deployment of containerized applications, databases, and networking components through natural language instructions.

• Scaler - Distributed Computing Framework

  Go, Kubernetes, gRPC

  GitHub

  • Developing scalable distributed computing framework for USC CSCI 555 course, implementing fault-tolerant task scheduling and resource management across containerized worker nodes.
  • Architected microservices-based system using Go and gRPC for high-performance inter-service communication with automatic load balancing and failure recovery mechanisms.

Certifications & Awards

• Red Hat Certified Specialist in Kubernetes
• Google Cloud Platform Fundamentals: Core Infrastructure
• End-to-End Machine Learning with TensorFlow on GCP
• Neural Networks and Deep Learning (DeepLearning.AI)