I’m a graduate student at Arizona State University pursuing a Master’s in Information Technology, focused on building scalable, data-driven applications. With experience across software development, cloud computing, and data engineering, I bring a strong foundation in designing and delivering high-performance systems. Previously, I worked as an Associate Software Engineer at Neudesic (an IBM Company), where I developed scalable enterprise applications using .NET Core, React, and Microsoft Azure. My experience spans full-stack development, cloud automation, and CI/CD pipeline design. I’m proficient in Python, Java, C#, TypeScript, and AWS, and hold an AWS Machine Learning for NLP certification. I aim to create innovative solutions that integrate AI, cloud, and automation to deliver meaningful real-world impact.
Pursuing a Master of Science in Information Technology at Arizona State University, with an expected graduation in December 2025. My coursework and projects focus on Big Data Analytics, Cloud Architecture, Natural Language Processing (NLP), Artificial Intelligence, and Data Visualization. I’ve earned an AWS Machine Learning for NLP certification, deepening my expertise in cloud-based AI solutions. Through my studies, I aim to design scalable, intelligent systems that bridge software engineering, data science, and cloud automation.
Earned a Bachelor of Engineering in Electronics and Communication Engineering from B.M.S. Institute of Technology and Management, Bengaluru. My final-year project, “Reader and Object Detector for Blind”, utilizing TensorFlow and Raspberry Pi, was published in the IRJMETS Journal (Vol. 4, Issue 7, 2022).
Bangalore, India
Designed, developed, and deployed a large-scale internal field-service management system for a Fortune 500 client using Angular and .NET Core. Optimized backend logic and caching layers to improve API throughput by 25% and reduce page latency by 30%. Re-architected microservice-based modules for high availability using Azure App Services and Azure SQL, enabling concurrent operations for 2,000+ daily active users. Built CI/CD pipelines with Azure DevOps, reducing deployment effort by 60% and increasing release frequency by 40%. Enhanced reliability through test automation, expanding unit test coverage from 25% to 75%.
Remote
Developed and deployed a serverless transaction monitoring API using AWS Lambda, API Gateway, and DynamoDB, achieving near-constant uptime under load. Automated infrastructure provisioning with AWS CDK, integrating with CodePipeline and CodeBuild to reduce setup time from 2 hours to under 20 minutes. Containerized the service using Docker for CI integration and implemented CloudWatch alarms for event-driven monitoring and fault tolerance.
Skills: Natural Language Processing (NLP)
Credential ID: 4AD183130BB2E26F
Credential ID: 9170933E0C4ADBAE
Credential ID: 8FA7936A3C2B62CF
Some of my most impactful academic, professional, and personal projects — built using AI, Cloud, and Full Stack technologies.
Built an intelligent automation platform enabling collaborative AI agents to extract, summarize, and act on data across enterprise systems. Integrated AWS Bedrock and Amazon SageMaker for fine-tuned models and real-time inference, with a FastAPI backend, FAISS-based semantic search, and responsive React.js dashboard. Enhanced reliability with error handling, secure APIs, and containerized deployment, achieving 40% improvement in task coherence and under 150ms query latency.
Developed a scalable collaborative filtering recommendation system using cosine similarity on user-item matrices of 60K+ records. Built modular data pipelines for normalization and transformation using Pandas and optimized linear algebra operations with NumPy. Leveraged SciPy vectorization and caching to generate real-time book recommendations within 100ms per query.
Designed an AI-powered assistive system that detects and reads objects and text in real-time for visually impaired users. Implemented SSD MobileNet for object detection and Tesseract OCR for text recognition with speech output via TTS engines. Achieved 45% faster inference with GPU acceleration and model quantization, enhancing situational awareness through prioritized object detection.
Developed a React application using GitHub’s REST API to search and explore public repositories with detailed analytics. Implemented clean TypeScript interfaces, pagination, and responsive design for smooth browsing. Focused on performance optimization and modern UI practices.
Designed a responsive weather dashboard that fetches live weather data using the OpenWeather API. Built with React and TypeScript, supporting real-time updates and dynamic backgrounds based on weather conditions. Implemented modular components for search, forecast display, and geolocation-based detection.
Built a basic yet functional online banking platform that supports account creation, fund transfers, and currency conversion. Implemented server-side processing in PHP and persistent storage using MySQL. Focused on data validation, responsive design, and secure transaction handling.
Engineered a computer vision-based security system that detects faces and sends real-time email alerts with captured images when motion is detected. Utilized OpenCV for live camera feed analysis and SMTP for email automation. Enhanced detection reliability by implementing contour-based motion analysis and dynamic frame differencing.
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