Vetted Observability Professionals

Sai Swetha Bodlapati

Screened

Senior Data Engineer specializing in Spark, Kafka, and Databricks Lakehouse platforms

Dallas, TX5y exp

“Data engineer at Fidelity who built and operated a real-time financial transactions lakehouse on AWS/Databricks, processing millions of records daily with Kafka streaming. Demonstrated strong reliability and data quality practices (watermarking, idempotent Delta writes, validation/reconciliation, observability) and delivered measurable improvements (~30% faster jobs and ~30% fewer data issues) while enabling trusted gold-layer analytics for downstream teams.”

“Hands-on ML practitioner who built and deployed an end-to-end phishing email classifier (CLI + simple web app), achieving 98% accuracy and reducing manual security triage. Emphasizes production reliability through input validation, graceful failure modes, monitoring/logging, and iterative error analysis, with experience hardening pipelines against messy backend/database data using fallbacks and idempotent processing.”

“Analytics-focused candidate with experience building SQL/Python pipelines and dashboards for donor, campaign, and website performance reporting. They have worked with messy multi-source data, standardized metric definitions, and delivered automated reporting that reportedly reduced manual effort by about 80%.”

“ML/AI engineer with strong production ownership across predictive ML and Generative AI systems. They’ve delivered measurable business impact through real-time churn/drop-off prediction, RAG-based document QA, and scalable LLM optimization, with a consistent focus on reliability, safety, latency, and developer productivity.”

“Backend engineer in airport operations who built a highly customizable BFF-based system connecting airport staff workflows to a baggage sortation engine. Their architecture cut per-airport customization from 100-150 engineering hours to 1-5 hours, improved long-running operation performance by 45%, and shipped in 4 months instead of 6. They also explored AI-assisted backend customization with human validation and test-based safeguards.”

“Backend/platform engineer with experience across Cigna, Cognizant, and a university environment, focused on reliability, distributed systems, and regulated-domain workflows. Stands out for combining Kubernetes/Kafka/AWS infrastructure expertise with a production RAG-based healthcare compliance assistant that cut manual reporting work from 30-45 minutes to under 2 minutes while maintaining strong uptime and data-quality controls.”

“Backend engineer who shipped a Spring Boot transactions/points feature while using AI selectively for boilerplate and test ideas, keeping core system design decisions in human hands. Stands out for rigorous validation of AI output against database behavior, concurrency, idempotency, and failure scenarios, and has also built a lightweight planner -> code gen -> validator agent-style pipeline with step-level logging and retries.”

“Full-stack engineer with experience spanning AI-powered product features and healthcare fraud detection systems. Has built end-to-end LLM-enabled applications, customer-facing recommendation systems at scale, and operational platforms that improved real-time investigations and flagged over 1,200 high-risk cases quarterly.”

“Full-stack and AI product engineer with strong AWS/Snowflake experience who built an internal feature flag platform and helped migrate a cybersecurity insights product into a multi-agent AI chat interface. They report production scale of 1M+ embeddings and 50k+ monthly queries, with outcomes including an 80% reduction in analyst work and dashboard generation in 7 minutes; the work was also featured by Claude and AWS.”

“Paystand engineer/intern who built a multi-agent LLM orchestration system (with logging/feedback loops) that became part of the team workflow and reportedly cut development time ~70%. Partnered with sales/product on enterprise demos and implemented a dynamic RBAC system that helped drive adoption of an intern-built product to multiple enterprise clients, contributing to seven-figure ARR. Also founded and pitched a student-entrepreneur business management/payments project (HustleHub) and won a university startup competition.”

“Robotics software engineer focused on multi-robot fleet orchestration in ROS 2, owning the fleet manager and task dispatch layer for pick/drop workflows. Strong in real-world reliability and safety (heartbeats, idempotent tasking, E-stop/localization confidence gates) and in debugging timing/state issues via telemetry alignment and rosbag replay, with experience in simulation, CI/CD, Docker, and Kubernetes-based deployments.”

“Built and deployed a production LLM-powered workflow assistant that automated internal marketing/production business tasks (document summarization, repeated Q&A, status updates). Demonstrates end-to-end applied LLM engineering: modular RAG architecture, hallucination/latency mitigation, automated evals to prevent prompt regressions, and Azure-based orchestration (Functions/Logic Apps) with monitoring and controlled rollouts.”

“Early-career engineer from BNP Paribas who drove a large-scale observability modernization—selecting and implementing Prometheus/Grafana for a 2000+ server estate, then productionizing it on Kubernetes via Docker/Jenkins. Known for hands-on demos, strong documentation/templates, and pragmatic troubleshooting (including custom Python metrics) that improved visibility and cut debugging time by ~60%.”

“Frontend engineer in an insurance SaaS white-label environment who transformed a fragmented ecosystem of 100+ duplicated React repos into a scalable platform using versioned NPM libraries (CommonWeb/WorkflowWeb). Built a JSON-driven, multi-step quote and payment workflow in React+TypeScript with Redux-Saga for complex async orchestration and reliability (idempotency, retries, takeLatest). Delivered measurable impact: 35% bundle reduction, onboarding cut from weeks to days, and bug fixes propagated across clients in hours.”

“Full-stack engineer with financial services experience (Lincoln Financial) who owned a customer-facing financial portal end-to-end using TypeScript/React and Node/Express. Has hands-on microservices and RabbitMQ event-driven workflows, addressing scale issues like retries/duplicates with idempotency and traceable logging, and built an internal real-time ops/support dashboard to improve monitoring and incident response.”

“Significant contributor/maintainer to an open-source JavaScript event-tracking client SDK, owning API consistency/backward compatibility, high-load batching and retry/backoff improvements, and test/CI + documentation upgrades. Diagnosed production-like issues (missing events under load) via reproduction and logging, then reduced GC pressure and improved predictability with a ring-buffer-based batching redesign while actively triaging issues and reviewing PRs.”

“Full-stack engineer with production experience building Java 17 Spring Boot microservices for high-traffic systems at Verizon and on a JPMC payments platform (funds transfer/validation using ISO 20022), plus modern React/TypeScript dashboards for ops and analytics. Demonstrates strong scalability and reliability chops (Kafka event-driven pipelines, Redis caching, clustering, BullMQ background jobs) and has built real-time apps end-to-end with secure JWT refresh-token auth and Socket.io performance tuning.”

“GenAI/LLM engineer who recently built a production compliance assistant at State Farm for KYC/AML and regulatory teams, using AWS Bedrock + LangChain with Textract/Lambda pipelines to extract fields, tag risk, and summarize long documents. Implemented RAG, strict structured outputs, and human-in-the-loop guardrails, and reports automating ~80% of documentation work while reducing review time by ~40%.”

“Robotics engineer who built an autonomous driving mobile robot software stack at Boston University using ROS on an NVIDIA Jetson Nano, integrating LiDAR + stereo vision with YOLOv5 and a probabilistic occupancy grid for planning. Demonstrated real-time systems rigor (multi-rate ROS nodes, 50ms sync, profiling/instrumentation) and optimized YOLOv5 with TensorRT, citing ~30% accuracy improvement; also taught ROS workshops to 50+ students.”

“ML/AI engineer with defense and commercial analytics experience: deployed a real-time aerial object detection system at Dynetics (YOLOv5 + TorchServe in Docker on AWS EC2) with drift-triggered retraining and 99.5% uptime, tackling ambiguous targets and weather degradation. Previously at Fractal Analytics, built and explained a churn prediction model for marketing stakeholders using SHAP and delivered it via a Flask API into dashboards, driving a reported 22% attrition reduction.”

“AppSec-focused engineer from Kaiser Permanente who advises on authentication/API security, performs lightweight threat modeling, and integrates SAST + dependency scanning into CI/CD while actively reducing false positives to improve release speed. Demonstrated strong troubleshooting using logs/traces/metrics (e.g., diagnosing auth failures caused by clock skew) and communicates security tradeoffs differently for engineering vs product stakeholders.”

“Backend/AI engineer who has built production Spring Boot APIs on AWS (JWT auth, Redis/MySQL) and solved a real-world silent data integrity issue by implementing idempotency keys plus DB constraints/transactions. Also shipped an LLM-based document Q&A feature using a RAG pipeline with evaluation + human review, and designed multi-step agent workflows with verification, retries, and escalation guardrails.”

“DevOps/Cloud engineer with experience supporting large-scale enterprise infrastructure (AT&T: 50+ Power8/Power9 frames and 2,000+ AIX 7.1/7.2 LPARs) and strong hands-on delivery in AWS/Kubernetes. Built secure Jenkins-to-EKS pipelines with SonarQube/Trivy gates and resolved a widespread CVE-driven build outage by patching the Debian base layer. Also created reusable Terraform modules with remote state/locking and automated drift detection to provision full mirror environments in under an hour.”

“Infrastructure/operations engineer with hands-on production IBM Power/AIX (AIX 7.x, VIOS, HMC) and PowerHA/HACMP clustering experience, including DLPAR changes, failover testing, and incident recovery. Also delivers modern cloud DevOps work—GitHub Actions CI/CD for Docker-to-Kubernetes on AWS and Terraform-based provisioning of core AWS infrastructure (VPC/EKS/RDS/IAM) with controlled rollouts and drift checks.”