• Built a GenAI troubleshooting assistant (Python + Azure OpenAI) that auto-diagnoses Elasticsearch indexing failures, certificate issues, and BCAPI alerts, reducing MTTR by 45%.

• Delivered a GenAI SOP/documentation generator that converts logs, Jira tickets, and Puppet diffs into remediation steps, cutting manual write-ups and compliance reporting time by 60%.

• Integrated natural-language querying into the observability stack (ElasticSearch/Grafana), improving incident-response velocity by 35%.

• Automated runbook creation with OpenAI function calling + Python pipelines, generating resolution steps for recurring SRE issues (SMTP queues, AKS cert rotations, log-mover failures).

• Built production-grade LangChain agents to execute multi-step RAG workflows for incident analysis + SOP generation.

• Developed real-time defenses for camera/LiDAR-fusion vulnerabilities; increased attack detection accuracy from 72% to 93% on edge devices.

• Improved detection accuracy by 21% using PyTorch + OpenCV (real-time detection systems).

• Built and deployed optimized ML models using quantization + pruning on NVIDIA Jetson (Orin/TX2) for low-latency inference.

• Automated large-scale experimentation + visualization pipelines to speed iteration under constrained compute budgets.

• Published 12+ peer-reviewed papers (IEEE/FLAIRS) and presented at ISVLSI/SoutheastCon.

Tech: PyTorch, OpenCV, Python, Jetson Orin/TX2, Model Optimization (Quant/Prune), Experiment Pipelines

• Built scalable backend systems and services for high-traffic applications using ASP.NET, SQL, Python, and Apache Spark.

• Engineered distributed ETL pipelines ingesting/validating 10M+ records, enabling rapid onboarding of 3 new banks.

• Designed and supported 500+ Swagger Documented REST APIs, accelerating client integration and developer ramp-up.

• Deployed ClamAV container on AKS, blocking 100% of malicious uploads and sending real-time alerts.

• Improved delivery pipelines (Terraform/Azure DevOps/Jenkins/GitOps), cutting deployment time by 40%; resolved 50+ high-priority production issues within SLA / 50+ bugs within 24-hr SLA.

• Integrated U.S. Bank API into a pandemic unemployment application, reducing claimant transaction time from ~5 min to less than 2 min (-28%) with tokenized payment security.

• Implemented email verification/validation + fraud rules, driving a 38% drop in fraudulent claims.

• Diagnosed and fixed memory leaks using Chrome DevTools, trimming page-load latency by 25% and preventing recurring server crashes.

• Delivered continuous feature enhancements and secure validation flows across web UI + APIs.

• Built containerized Python microservices for supply-chain/capacity planning and resource optimization workflows.

• Shipped product features across Python/Django + React + SQL + AWS, improving onboarding and dashboard UX (sign-in/registration + analytics views).

• Built real-time dashboards and optimized SQL Server stored procedures to surface key metrics and reduce query latency.

• Automated CI/CD with GitHub + Travis CI; delivered in Agile sprints with cross-functional collaboration.