Sql Server Machine Learning

Nachiketh Mamidi

Seattle, WA +1-408-***-**** *************@*****.*** LinkedIn GitHub

EDUCATION

Bachelor of Science, Computer Science May 2024

San Jose State University, San Jose, USA GPA: 3.6/4.0 Coursework: Data Structures and Algorithms, Advanced Algorithms, Object-Oriented Design, Operating Systems, Computer Architecture, Advanced Algorithms, Computer Networks, Distributed Systems, Database Management Systems, SQL and NoSQL Databases, Formal Languages and Automata, Software Engineering, Information Security, Internet Protocols, Machine Learning, Artificial Intelligence, Cloud Computing, Programming Paradigms, Linear Algebra, Discrete Mathematics, Ethics in Computing, Advanced Python Programming TECHNICAL SKILLS

● Languages & Scripting: Java, Python, JavaScript, TypeScript, C, C++, SQL, Bash, Shell

● Frontend, Backend & APIs: React.js, Vue.js, HTML5, CSS3, AJAX, WebSockets, JWT, Responsive Design, Bootstrap, Node.js, Express.js, Flask, REST, gRPC, microservices, event-driven systems, asynchronous processing, server-side logic

● Cloud & DevOps: AWS (EC2, S3, Lambda, CloudFormation, IAM, RDS, DynamoDB, CloudWatch, ELB, Route 53), Microsoft Azure, Docker, Kubernetes, Jenkins, GitHub Actions, Terraform, Ansible, CI/CD

● Infra & Monitoring: Linux (Ubuntu, Debian, RHEL), Load Balancers, VPC Peering, Auto Scaling, Prometheus, Grafana, Nginx, Apache

● Databases: MySQL, PostgreSQL, MongoDB, Redis, DynamoDB, Oracle, SQL/NoSQL schema design, caching, indexing, replication

● Security & Networking: IAM, RBAC, TLS/SSL, SSH, DDoS mitigation, VPNs, IPsec, NAT, DHCP, DNS, TCP/IP, HTTP/HTTPS, network scanning, vulnerability detection

● Testing & QA: JUnit, PyTest, Cypress, Jest, Postman, integration testing, unit testing, E2E testing, test coverage tracking

● Tools & Workflow: Git, GitHub, GitLab, Jira, Agile/Scrum, VS Code, IntelliJ, Eclipse WORK EXPERIENCE

Software Development Engineer AWS, Amazon, Seattle, USA July 2024 - Present

● Contributed to "Penne," a scalable network security platform, by building cloud-native microservices in Java and modeling infrastructure graphs using Amazon Neptune and DynamoDB for automated vulnerability detection.

● Designed and implemented a race-condition-safe snapshotting service in Java that normalized AWS metadata (EC2, S3, VPC) into a unified internal schema, improving ingestion speed, observability, and consistency across system layers.

● Built real-time monitoring dashboards, alarms, and metric filters using Amazon CloudWatch, IAM roles, and CloudTrail, enabling automated detection of security anomalies and enforcement of audit and compliance policies.

● Streamlined deployment and change control by integrating Git-based pipelines with automated testing frameworks, static analysis tools, and peer-reviewed validation workflows in line with GMP/GAMP standards.

● Partnered with globally distributed teams to troubleshoot cross-region networking issues, implement fallback mechanisms, and deploy IAM-based RBAC access controls tailored to regulated, multi-tenant cloud environments. Frontend Software Engineer Sequoia.ai, San Jose, USA August 2023 - July 2024

● Led the complete UI modernization of an AI learning platform by replacing a legacy JavaScript codebase with a modular, scalable architecture in TypeScript using React and Vue.js. Improved maintainability and codebase consistency across teams.

● Designed and deployed reusable, responsive UI components and grid-based layouts to support cross-device compatibility. Enhanced frontend development velocity and visual consistency across the platform.

● Integrated large language model (LLM)-based recommendation systems into the frontend through RESTful APIs and socket connections. Enabled real-time feedback for learners based on performance metrics like time-to-solve and accuracy.

● Collaborated directly with founders and engineering teams during high-stakes startup pitch events including Y-Combinator and Slush. Played a key role in defining the MVP scope, refining UI/UX flows, and preparing live demos.

● Strengthened frontend code reliability by implementing comprehensive test suites using Cypress for E2E coverage. Reduced critical production bugs and regression issues by improving automated test pipelines. Software Development Engineer Intern Amazon, San Diego, USA May 2023 - Aug 2023

● Spearheaded migration of a legacy Simple Workflow Service (SWF) system to a scalable ORCA-based orchestration framework.

● Developed 20+ AWS Lambda functions in Java and TypeScript for cross-service communication and network telemetry analysis.

● Built TCP-based health-check services for microservice reliability, integrated with CloudWatch alerts and recovery logic.

● Optimized service payload design to reduce sub-action sizes by 70%, improving latency and system throughput under high-load. IBM Tech Scholar Intern IBM, San Jose, USA July 2022 - Aug 2022

● Led 4-member team to develop a full-stack goods distribution app (Node.js, React, MongoDB, Docker) for underserved communities.

● Built CI/CD pipelines with GitHub Actions to enforce validation protocols and streamline code deployment under controlled conditions.

● Integrated authentication and form validation, securing system access with JWT and IP throttling — comparable to automation access controls in GMP environments.

● Followed Agile Scrum framework with 2-week sprints and Jira-based progress tracking, supporting traceable, validated workflows. ADDITIONAL EXPERIENCE, PROJECTS, ACHIEVEMENTS

CS Tutor Peer Connections, San Jose, USA Jan 2022 - July 2022

● Tutored 100+ students in Java and Data Structures; emphasized structured problem solving, debugging, and logic validation.

● Facilitated group sessions, reinforcing collaborative problem-solving and testing strategies critical to automation and validation. Lab Instructor San Jose State University, San Jose, USA Aug 2021 - Dec 2021

● Led weekly labs on Java programming, control flow, and exception handling, mirroring foundational logic for automation scripting.

● Designed hands-on assignments and grading rubrics to simulate structured automation documentation and process validation. Salesforce Trailhead, Salesforce, https://trailblazer.me/id/nmamidi2 May 2022 - Aug 2022 President’s Scholar in Engineering, San Jose State University 2022 National Science Experiment Competition – 3rd Place (India), Jana Vignana Vedika 2018

Contact this candidate