# Abhijeet S. > Software Engineer & Researcher shipping AI systems in Production | Azure AKS + Terraform | Observability | MTTR ↓ 45% with GenAI Location: San Francisco, California, United States Profile: https://flows.cv/abhijeets I help engineering and ops teams ship reliable cloud platforms and AI-powered automation that reduces toil and speeds recovery. What I do: • Build and operate backend/platform services on Azure + Kubernetes (AKS) with strong CI/CD and infrastructure-as-code. • Implement observability (logs/metrics/traces) and incident workflows that improve reliability and on-call experience. • Ship LLM/RAG/agent systems (Azure OpenAI, LangChain, vector DBs) for runbooks, incident triage, and operational knowledge. Outcomes I optimize: lower MTTR, less manual work, safer deployments, and systems that scale. Proof: MTTR ↓ 45% • SOP/documentation time ↓ 60% • Incident-response velocity ↑ 35% Core Tools: Python, C#, FastAPI/ASP.NET, Docker/Kubernetes, Terraform, Jenkins, ELK/Splunk, Kafka/Airflow/Spark, Azure/AWS. ## Work Experience ### Software Engineer @ Arctera.io Jan 2025 – Present | Nashville Metropolitan Area • 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. ### Research Assistant @ Tennessee Technological University Jan 2023 – Jan 2025 | Nashville Metropolitan Area • 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 ### Software Engineer @ Deloitte Jan 2021 – Jan 2023 | Nashville Metropolitan Area • 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. ### Software Engineer @ Protech Solutions, Inc Jan 2021 – Jan 2021 | Nashville, Tennessee, United States • 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. ### Software Engineer @ MidTN.Tech Jan 2020 – Jan 2021 | Nashville Metropolitan Area • 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. ## Education ### Bachelor of Science - BS in Computer Engineering Tennessee Technological University ### Master of Science - MS in Computer Engineering Tennessee Technological University ## Contact & Social - LinkedIn: https://linkedin.com/in/abhijeet-solanki - Portfolio: https://www.abhijeetsolanki.com/ --- Source: https://flows.cv/abhijeets JSON Resume: https://flows.cv/abhijeets/resume.json Last updated: 2026-04-11