M.S. Computer Science candidate at Boston University (GPA: 3.84) with 3+ years of progressive software engineering experience across enterprise-scale systems, AI/ML applications, and full-stack development. Proven track record of delivering high-performance solutions that drive business value through scalable architecture, performance optimization, and cross-functional collaboration.

Core Competencies: Distributed Systems Design • Microservices Architecture • Cloud-Native Development • AI/ML Engineering • Performance Optimization • DevOps & CI/CD

Sacramento, CA | Jun 2024 - Sep 2024

Enterprise E-commerce Platform Development

• Microservices Architecture: Designed and deployed 10+ RESTful APIs in a distributed microservices ecosystem, enabling seamless integration between supplier management and service discovery modules
• Performance Engineering: Achieved 35% reduction in catalog query latency through strategic Redis caching implementation and Azure SQL query optimization, directly improving user experience for 100K+ daily active users
• Data Infrastructure: Architected centralized data pipeline consolidating fragmented systems with comprehensive lineage tracking and automated Cron job orchestration
• High-Volume Message Processing: Integrated Apache Kafka and RocketMQ to handle 100K+ QPS asynchronous operations, implementing intelligent load balancing that eliminated timeout bottlenecks during peak traffic
• DevOps Excellence: Established Jenkins-Docker CI pipeline with automated PR testing, reducing code review cycles and preventing production regressions

Newark, CA | Jun 2023 - Aug 2023

Enterprise AI/ML Platform Development

• Intelligent Automation: Developed production-ready GPT-4 + LangChain chatbot deployed on Azure Kubernetes Service, delivering 15+ hours/week efficiency gains across 3 engineering teams through automated SOP and log analysis
• Advanced RAG Implementation: Built sophisticated Retrieval-Augmented Generation pipeline using FAISS vector database and sentence-transformers, achieving 90%+ top-5 recall accuracy on 1M-token regulated document corpus
• Cloud-Native DevOps: Architected comprehensive CI/CD pipelines for FastAPI microservices using Azure DevOps, incorporating container orchestration, real-time monitoring, and enterprise-grade security protocols
• Frontend Architecture: Engineered React.js conversational interface with real-time token tracking, context-aware UX patterns, and scalable architecture supporting 50+ concurrent enterprise users

Wilcoe, WV | Dec 2022 - Mar 2023

Financial Data Platform Development

• API Development: Built robust RESTful APIs using Spring Boot with automated ETL workflows for financial and environmental data processing
• Database Performance: Optimized SQL Server and MySQL queries through advanced indexing strategies and stored procedure implementation, achieving 80% latency reduction (15s → 3s) for executive dashboard queries
• Business Intelligence: Developed comprehensive Tableau dashboards providing real-time insights into financial trends, environmental metrics, and operational efficiency across departments
• Agile Development: Contributed to sprint planning and execution using Jira and Git, improving test coverage and refactoring legacy backend services

Tech Stack: React.js, Node.js, MongoDB, Express.js

Full-Stack MERN Application for Intelligent Team Formation

• Developed sophisticated algorithm for automated team assignment based on multi-criteria preference ranking
• Achieved 25%+ improvement in team satisfaction compared to traditional random assignment methods
• Implemented scalable backend APIs supporting user registration, questionnaire processing, and dynamic team configuration
• Built responsive React interface with modern routing architecture and seamless Agile workflow integration

Tech Stack: Spring Boot, React.js, PostgreSQL, Docker, Redux

Enterprise-Grade Personal Finance Application

• Architected Spring Boot microservices backend with PostgreSQL for reliable transaction processing and audit trails
• Deployed containerized application across Heroku staging and production environments with zero-downtime deployment
• Developed responsive React frontend with Redux state management for real-time balance tracking and transaction visualization
• Integrated Formik/Yup validation framework and Axios for secure API communication with network resilience

Backend Development: Spring Boot, Spring Cloud, Node.js/Express.js, FastAPI, Hibernate ORM
Frontend Development: React.js, Redux, HTML5/CSS3, Bootstrap, jQuery, Webpack, Formik/Axios

Containerization & Orchestration: Docker, Kubernetes, Azure Container Registry
CI/CD Pipelines: Jenkins, Azure DevOps, GitHub Actions
Message Queuing: Apache Kafka, RocketMQ, Redis Pub/Sub
Monitoring & Logging: Application Insights, CloudWatch, ELK Stack

Databases: PostgreSQL, MongoDB, MySQL, Redis, Azure SQL
AI/ML Frameworks: LangChain, OpenAI API, HuggingFace Transformers, PyTorch
Vector Databases: FAISS, Pinecone
Analytics: Tableau, JMP Statistical Software

Master of Science in Computer Science | Boston University | 2023-2025
GPA: 3.84/4.0 | Relevant Coursework: Distributed Systems, Machine Learning, Database Systems, Software Engineering

Bachelor of Arts in Chemistry | Virginia Tech | 2018-2023
Foundation: Analytical Problem-Solving, Research Methodology, Statistical Analysis

• Seeking Software Engineer role at technology-forward companies focusing on scalable systems and user impact
• Interested in positions involving distributed systems, cloud architecture, or AI/ML integration
• Target companies: Big Tech (FAANG), High-Growth Startups, Enterprise Software Companies

• System Design: Deepening expertise in distributed systems patterns and microservices architecture
• AI/ML Engineering: Expanding knowledge in MLOps, model deployment, and production AI systems
• Cloud Architecture: Pursuing AWS/Azure certifications and advanced container orchestration

• FinTech: Financial services technology, payment systems, investment platforms
• E-commerce: Large-scale retail platforms, supply chain optimization, customer experience
• Enterprise SaaS: B2B software solutions, developer tools, productivity platforms
• AI/ML Products: Intelligent applications, natural language processing, recommendation systems

• Performance Impact: Consistently delivered 30-35% performance improvements across multiple internship projects
• Scale Experience: Built systems handling 100K+ QPS and serving 50+ concurrent enterprise users
• AI/ML Expertise: Practical experience with production AI systems achieving 90%+ accuracy metrics
• Full-Stack Proficiency: End-to-end development from database optimization to responsive frontend interfaces
• Agile Leadership: Experience with cross-functional collaboration, sprint planning, and technical mentoring

I'm actively seeking Software Engineer opportunities where I can contribute to meaningful projects while growing my expertise in distributed systems and AI/ML applications. I'm particularly interested in roles that offer:

✅ Technical Challenges: Complex system design and performance optimization
✅ Growth Opportunities: Mentorship, technical leadership, and continuous learning
✅ Impact: Products that serve millions of users or solve significant business problems
✅ Innovation: Cutting-edge technology adoption and engineering excellence culture

Available for immediate start | Open to relocation | Authorized to work in US