CV

Education

• Master of Science in Computer Science, University of Southern California, Viterbi, 2024 - Present
  • GPA 3.92/4
• Bachelors of Technology in Computer Science and Engineering, National Institute of Technology Tiruchirappalli, 2018-2022
  • CGPA : 9.08
  • Courses: Data Sciences, Machine Learning, Advanced Cryptography, Data Warehousing & Data Mining, and Web Technology.

Work experience

• May 2025 – August 2025 : Software Engineer Intern, Nvidia Cloud Networking, Santa Clara, CA
  • Developing K8s networking solution for ovn-kubernetes
  • Working to integrate SDN solution to open-sourced repository.
• June 2022 - August 2024 : Member of Technical Staff (IC2), Oracle Cloud AI Services
  • Engineered and optimized AI Platform for OCAS Language, Speech, and Anomaly Detection services.
  • Spearheaded ARM & K8s migration of microservices, resulting in 99.98% service availability and 38% cost reduction.
  • Fine-tuned and trained multilingual Punctuation Model, improving accuracy by 2.3% while adding Hindi and Russian capabilities for Translation post-processing
  • Architected asynchronous inference, boosting very large input inference time by 40% and elevating customer satisfaction.
  • Collaborated with cross-functional teams, including stakeholders from US and UK, PMs and model developers toconduct thorough technical design reviews, feature development, testing, and experimentation.
  • Led development of Oracle AI Hub Dedicated Resource Billing.
• June 2021 - August 2021 : Software Developer Intern, Oracle Digital Assistant (ODA)
  • Engineered unified Flutter-based platform-independent codebases, reducing development overhead by 66%.
  • Prototyped any-to-any language communication feature by integrating OCI Language Detection and Translation model during client-service communication, allowing clients to talk in eight different languages to a English trained ODA bot
• June 2020 – October 2020 : Machine Learning Intern, Crayondata
  • Developed a contextual Key-Phrase Extraction ensemble model achieving 72% accuracy for customer review analysis.
  • Designed and implemented on-requirement inference pipeline to reduce latency by 40% for queries less than 40 tokens
  • Implemented on-requirement inference pipeline to reduce latency by 40% low token queries.
• December 2019 – January 2020 : Research Intern, RISE LABS - IIT MADRAS
  • Attained 23% latency reduction in benchmarking through integrating a scalable 64 to 256bit S.Box, improving the efficiency in performance of non-linear boolean function within India’s first homogeneous microprocessor, Shakti.

Part-time experience

• June 2021 - May 2022 : Technical Secretary, Students’ Council, NIT Tiruchirappalli
  • Managed student technical activities, including clubs, admin and alumni relations, finance management.
  • Advised on the Techno-managerial fest of NIT-T and led the development of welfare-driven software projects.
  • Lead open-for-all tech communities including Google DSC NIT-T, Women Inclusivity Network and CryptoNITT.
  • Oversaw technical activities for 8,000+ students, managing 30+ technical clubs and research initiatives and leading tech communities including Google DSC NIT-T, TechOpenSource, and Women Inclusivity Network NIT-T.
• December 2020 - May 2022 : Co-Founder and Lead, CryptoNITT
  • Established and managed the Blockchain & Crypto community at NIT-T in association with Celo and Tezos.
  • Educated students on cryptocurrency trading and conducted workshops on smart contract development.

Skills

• Machine Learning and Data Sciences
  • Natural Language Processing
  • Retrieval-Augmented Generation (RAG)
  • AI Agents
  • Pytorch, Pandas, SciPy, TensorFlow, Triton, Matplotlib, Scikit-Learn
• Cloud Infrastructure and DevOps
  • Terraform
  • Kubernetes
  • Docker
• Quantitative Analysis
  • Data Analysis
  • Predictive Modeling
  • Time Series Analysis
  • Statistical Inference
• Programming Languages
  • Java
  • Python
  • C, C++
  • CUDA (beginner)
  • Bash
  • SQL, noSQL
  • JavaScript
  • TypeScript
  • Solidity
  • Go (beginner)
  • Rust (beginner)

Research

Football performance evaluation using Classification Models

Publications and Preprints

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

  paper

  code

  • Developed privacy preservation in client-server recommendation systems, ensuring users’ data protection.
  • Demonstrated ZKP, Oblivious Transfers and SimHash integration in collaborative filtering.
  • Engineered proof-of-concept web browser built using MERN Stack and Google Search API.

Projects

• Zero Barrier

  SaaS, Cloud Deployment, AI Agents

  • Developing open-source one touch Cloud deployment PaaS with capability to handle complex architecture deployment leveraging AI Agent reasoning capabilities.
  • Implemented seamless integration with GCP to enable automatic deployment of complex software architectures.