I bridge the gap between production backend architectures and applied artificial intelligence. With a Ph.D. in Computer Science and over five years designing large-scale cloud microservices at Dell, I build systems that are robust, high-throughput, and grounded in empirical research.
Ph.D., Computer Science & Engineering
Bengaluru, IndiaArchitected caching and aggregation patterns for microservice platform.
Published in IEEE, Springer, and IAES journals on NLP and sparse-vector embeddings.
Recognized at national-level Microsoft YAPPON and Code Yuddha hackathons for app architecture.
Enterprise-grade software engineering paired with rigour in applied language intelligence research.
Engineering high-availability cloud microservices that handle enterprise workloads with low latency, message streaming, resilient schemas, and fault tolerance.
Doctoral research focused on empirical sentiment classification, sparse-vector representations, feature-selection dimensionality reduction, and soft-computing techniques.
Six-plus years of continuous engineering contribution at Dell Technologies, Bengaluru.
Driving Python-based software engineering and infrastructure automation using SaltStack and DevOps tooling. Leading AI-augmented planning, development, and automated testing by integrating AI harnesses and autonomous agent workflows. Architecting resilient CI/CD pipelines and developer automation via GitHub Actions.
Redesigned critical backend endpoints to achieve an 80% reduction in redundant global API calls. Built event-driven data-ingestion microservices using Kafka and Docker, and developed internal tools with Node.js and React.js. Designed high-scale APIs for global availability while managing developer portal infrastructure via Backstage and Stoplight.
Implemented full-lifecycle backend services, authentication mechanisms via OAuth, automated CI/CD integration using Jenkins, and database schema migrations.
Engineered foundational backend modules, automated telemetry scripts, and collaborated across cross-functional infrastructure squads.
Battle-tested technologies across enterprise systems and academic research.
Peer-reviewed contributions to international journals and conferences in natural language processing.
Engineering, Technology & Applied Science Research
IAES International Journal of Artificial Intelligence
Intl. Conference on Intelligent Vision and Computing
Intl. Conference on Computing and Machine Learning
Intl. Conference on Emerging Research in Computing, Information & Communication
IEEE 2nd Mysore Sub Section International Conference (MysuruCon)
Advanced qualifications in computer science, data science, and engineering.
Computer Science & Engineering
JSS Science and Technology University
Graduated 2026Dissertation on novel sparse-vector embeddings, sentiment analysis, text dimensionality reduction, and soft-computing tokenization.
Data Science
JSS Science and Technology University
2019 — 2021Advanced coursework and research in applied machine learning, statistical inference, data mining, and distributed processing.
Information Science & Engineering
Maharaja Institute of Technology Mysore
2014 — 2018Core foundation in algorithms, operating systems, data structures, database engineering, and software design principles.
Competitive engineering hackathons, institutional leadership, and creative interests.
C# Application Development
Awarded 5th prize in Microsoft Edukinect’s national level coding competition for architecting and developing scalable C# systems.
AngularJS Web Application Development
Recognized by Qwiniks for resilient, real-time web application configurations under concurrent latency stress.
Technical Web Administrator · 2 Years
Maintained and administered the college website for two consecutive years, driving updates, content migrations, uptime monitoring, and feature rollouts.
Applying machine learning tools and empirical heuristics to optimize software development life-cycles and workflow planning.
Solving the Rubik’s cube and competitive chess.
Hand sketching, 3D modeling in Blender, and video editing.
Whether it's backend performance, system architecture, or a research discussion on sentiment analysis — I'd like to hear from you.