I'm a Software Engineer.
Master in Computer Science @ ASU | Ex-SDE Intern @ Infosys.
I build scalable applications, AI/ML models, and cloud-native systems.
About Me
Software Engineer pursuing a Master's in Computer Science at Arizona State University with 1.5+ years of industry experience in building scalable applications and AI/ML models.
Expert in developing data-driven systems with a strong foundation in software architecture and engineering practices. Currently seeking a Software Development Engineer (SDE) internship for Summer 2026.
Technical Skills
Languages
Frameworks
AI / ML
Databases
Cloud & DevOps
Tools
Work Experience
Software Developer Intern
Infosys Finacle
Developed scalable, cloud-native full-stack systems and migrated 15+ SOAP APIs to RESTful microservices using Java, Spring Boot, React, Angular, TypeScript, MongoDB, and AWS; reduced latency 35% and improved maintainability 50%.
Engineered data quality and banking automation pipelines using React, regex, Python, SQL, and ETL scripts; cut data errors 40%, reduced manual effort 70%, and ensured 99%+ data fidelity.
Orchestrated CI/CD and containerized deployments with Jenkins, GitLab, Docker, and Kubernetes; achieved 85% automation, 60% faster releases, and 30% AWS cloud cost reduction.
Featured Projects
Geo-Distributed Health Records Database System
Architected and deployed a geo-distributed healthcare database system using MongoDB, CockroachDB, SQL, and Docker, achieving 99% data availability, high fault tolerance, and seamless multi-region access. Reduced cross-region read latency by 30% and increased query throughput by 25%.
Hate Speech Classification Using Small Language Models
Developed a privacy-preserving hate speech detection system using Small Language Models (TinyLlama, Qwen2.5, MiniCPM) with PyTorch and Hugging Face Transformers, enabling 100% on-device inference. Achieved 70-75% accuracy using LoRA fine-tuning and 4-bit quantization.
Autonomous Navigation & Shopping Smart Cart
Engineered an AI-powered autonomous smart cart prototype using computer vision algorithms with ML-based path planning for real-time localization, achieving 98% obstacle avoidance. Developed deep learning models for product detection using YOLOv5 achieving 95% accuracy.
Education
Arizona State University, Tempe
Master of Science in Computer Science
Coursework: Statistical Machine Learning, Foundations of Algorithms, Cloud Computing, Software Design, Data Mining, Blockchain Technology, AI, Information Security
Savitribai Phule Pune University
B.E. in Computer Engineering | Honors in Data Science
Coursework: Data Structures & Algorithms, OOP, Software Engineering, Operating Systems, System Design, DBMS, Web Development, Cloud Computing, Machine Learning
Get In Touch
Let's connect and create something extraordinary together.
