Built full-stack interactive DRAM visualizer using React, Express, and D3.js to render 131k+ dynamic data points/frame for hardware chip diagnostics; architected a performant frontend with lazy loading and quadtree spatial indexing algorithm, and oversaw end-to-end system integration for real-time analysis.

Architected & developed a multi-region web app using Python flask + JS to visualize deployment performance metrics from our custom datacenter; engineered data flow from Azure Cold Storage to containerized services deployed via Kubernetes, ensuring 99% deployment success with a fault-tolerant design and seamless failover support.

Instrumented gRPC with C++ and Rust to enable fine-grained telemetry, metrics, & better observability for apps and introduced certificate management, reducing security risks by 30% & executing seamless gRPC workloads.

Automated deployment process by creating a new pipeline to custom cloud using Azure Service Principal, Ansible & Python, producing unified k8s deployment images, decreasing lead time for change by 30%

Integrated Prometheus-based monitoring & alerting in K8s cluster via IaC, reducing outages by 1.5×, and

Technologies: Rust, C++, gRPC, Python, Flask, React, Javascript, Node, Docker, Kubernetes, Azure (Table, Blob, Data Lake, Service Principal), Ansible, Jinja, Grafana, Prometheus, SSL, TCP, Git.

Developed full-stack web tools using Java (Spring Boot, Smithy) and React/Redux to support site feasibility analysis, competitor intelligence, and real-time updates across 3,000+ sites and 400+ markets; empowered retail expansion and planning teams with actionable insights at scale.

Created modular features—messaging systems, report generators, and executive approval workflows—backed by NoSQL (MongoDB, DynamoDB) and SQL (Amazon RDS) and deployed via AWS ECS, EC2, Elastic- Search, CloudFront, SNS.

Built an optimized hiring simulator enabling strategic experimentation with location and workforce levers, driving an estimated $3M annual cost savings.

Led Operational Excellence by building an AWS CDK dashboard visualizing 12 health metrics on EC2-powered resources; authored automated CloudWatch alarms that triggered SEV tickets via Slack-API—reducing issue turnaround from 10+hrs to 10 mins.

Added accessibility using React with dark mode features to the hiring simulator web app according to WAG standards and end-to-end playwright tests

Technologies: Java, Spring, Smithy, React, Redux, JavaScript, TypeScript, Jest, Vite, AWS (API Gateway, RestAPIs, EC2, SNS, SQS, DynamoDB, MongoDB, RDS).

Built a NoC simulator for analysis, modeling traffic on a 2D grid and applying path traversal algorithms (A*, Dijkstra, weighted, round robin) to evaluate latency and power/cost efficiency.

Optimized a BERT(LLM)-based NLP system for real-time inference by applying model compression techniques (pruning, early-exit, distillation, quantization), enabling production-ready AI features with minimal accuracy loss.

Built AWS Batch workflows: job definitions, queues, compute environments, ECR/ECS integration, and an SNS

Built an Open Source 3D ML Ops visualizer (Python Flask, ThreeJS, D3.js) using quadtree spatial indexing

Technologies: Python, PyTorch, JavaScript, TypeScript, React, Docker, Bazel, AWS, ThreeJS, D3JS.