Vishali M.P.

At Nissha Medical Technologies, I worked on building an end-to-end AI-driven inspection system combining computer vision inference with real-time sensor telemetry. My role involved designing production-oriented workflows, optimizing inference performance for edge deployment, and translating manufacturing requirements into scalable software systems used for operational decision-making. Key accomplishments: 1. Architected an end-to-end inspection pipeline combining computer vision inference with real-time sensor data for automated quality analysis. 2. Built scalable dashboard systems to surface model predictions and operational insights for faster decision-making. 3. Optimized inference and deployment pipelines to achieve sub-50ms processing on edge hardware. 4. Iteratively translated stakeholder requirements into production-ready workflows aligned with manufacturing operations.

Siemens Advanta | Smart Buildings | Navigator Data Management Tool, Data Design Assistant, Energy Manager At Siemens, I worked as a full stack software engineer building cloud-native distributed systems powering enterprise-scale applications. My work spanned event-driven architecture, microservices, API development, CI/CD automation, and production reliability engineering on AWS. I also contributed to frontend tooling and platform consistency via reusable UI components, while collaborating with cross-functional Agile teams. Additionally, I supported production debugging, mentored junior engineers, and improved reliability across multiple services. Key accomplishments: 1. Implemented event-driven microservices using AWS Lambda, SQS, and SNS supporting high-volume distributed workloads across Smart Buildings enterprise applications 2. Built scalable REST APIs using .NET Core (C#), Node.js, DynamoDB, and SQL for low-latency enterprise data processing. 3. Built a production Go microservice implementing chain of responsibility architecture for data routing across upstream servers 4. Migrated CI/CD pipelines from Jenkins to GitLab CI/CD, reducing deployment time by ~50% and improving release consistency. 5. Automated database setup in local using Flyway scripts, reducing setup time by ~80% and eliminating manual errors. 6. Built Angular dashboards visualizing 100K+ time-series data points, improving engineering observability. 7. Contributed to reusable frontend component library (SiMPL) adopted across Siemens products, improving UI consistency and development speed. 8. Resolved production issues across AWS using CloudWatch and Grafana, improving system stability and incident response time. 9. Mentored junior engineers 3 junior engineers and onboarded 5 senior new hires through code reviews, debugging and Agile delivery support 10. Won Product Category at Hackathon-19 for co-developing a proactive maintenance dashboard for field engineers

Smart Buildings | Navigator Data Management tool During my internship, I focused on strengthening backend reliability and improving API performance in a .NET-based ecosystem. I worked on test automation, performance optimization, and proof-of-concept development while collaborating in Agile teams to validate features and improve system quality. Key accomplishments: 1. Implemented NUnit-based unit testing framework in .NET Core, resolving code quality issues and improving system reliability. 2. Optimized REST API request/response handling, reducing latency of key workflows. 3. Developed proof-of-concept solutions for feature validation, accelerating technical decision-making and stakeholder alignment. 4. Collaborated with senior engineers in Agile teams to troubleshoot issues and support stable production deployments.

At Vertace, I contributed to frontend development and prototype engineering for client-facing applications. I worked on improving UI responsiveness, building demonstration-ready dashboards, and supporting product discussions through rapid prototyping and UI modernization efforts. Key accomplishments: 1. Contributed to AngularJS-based e-commerce frontend development, improving UI responsiveness and user experience. 2. Built a truck management dashboard prototype used for client demonstrations and stakeholder engagement. 3. Migrated UI from Material Design to a proprietary theme, improving brand consistency and maintainability.

Coursework: - Algorithms & Data Structures - Applied Numerical Mathematics for AI (Linear Algebra, Optimization, Calculus, Statistics) - Machine Learning - Deep Learning - Reinforcement Learning - Computer Vision - Data-Intensive Computing (Hadoop, Spark) - Pattern Recognition - Natural Language Processing

Coursework: - Algorithms & Data Structures - Web development - Data Mining - Project Management - Service Oriented Architecture - Operating Systems - Computer Networks - Computer Security - Theory of Computation - Database Management Systems