Vetted Troubleshooting Professionals

Geetika Jain

Screened

Mid-Level Software Engineer specializing in Azure AI and full-stack development

Park City, UT6y exp

“Hands-on AI/LLM engineer who built a RAG-based product feature end-to-end, including prompt engineering, safety guardrails, and an automated adversarial + load-testing harness. Diagnosed real production issues (null responses) via Azure logs/metrics and drove an architectural fix by separating model deployments to address token/quota limits. Also runs internal developer enablement through short theory-to-hands-on AI workshops after completing a Microsoft AI certification.”

Elena Georgieva

Screened

Mid-level Audio Research Scientist specializing in perceptual audio and ML

Brooklyn, NY8y exp

“Research-oriented candidate with internship experience at Apple and multiple audio/ML projects spanning speech processing evaluation, listener studies, CLAP-based audio workflows, and music prediction. They stand out for combining experimental design, statistical analysis, and applied machine learning in ambiguous research settings, including building a new onset-detection dataset and presenting VoiceFX work at workshops.”

“Built and deployed a production RAG-based semantic search and summarization system for large legal/technical document sets, owning the full backend (embeddings, vector store, chunking, prompting) and driving a reported 40–60% reduction in manual review time. Experienced with LangChain/LlamaIndex plus Airflow/Temporal-style orchestration, and applies rigorous evaluation/monitoring (A/B tests, drift detection, staged rollouts) to keep agentic systems reliable. Also partnered with a supply-chain manager at TE Connectivity to deliver an AI inventory recommendation tool projected to drive millions in value.”

Dexin Huang

Screened

Junior AI Engineer specializing in LLM systems, RAG, and full-stack automation

Guilford, CT1y exp

“Built and deployed an AI receptionist product for field-service businesses (HVAC/electrician), including real-time Jobber scheduling integrations and Twilio-based calling. Combines hands-on customer/operator shadowing with strong production engineering (queueing to handle API limits, rigorous testing/mocking, mirrored prod environment) and cross-layer troubleshooting, driving user adoption through review/override workflows.”

“Hands-on engineering manager at a marketing company leading a highly senior, distributed team (10 direct reports) while personally coding ~60–70% and owning end-to-end architecture across three interconnected products. Built agentic CRM automation and a reinforcement-learning-driven distribution layer for channel spend/bidding, with a strong focus on scalable design and observability (Prometheus/APM/logging) enabling frequent releases and few production incidents.”

Venu Dave

Screened ReferencesStrong rec.

Junior Software Development Engineer specializing in backend data platforms and LLM applications

New York, NY3y exp

“Amazon internship experience building and shipping an end-to-end NL-to-SQL system: ingested/normalized metadata across 60+ internal tables, added rigorous multi-layer validation for LLM-generated SQL, and served it via a FastAPI backend for engineers—driving 90%+ faster dataset discovery and ~70% lower effort to access data. Also built an early-stage RAG-based healthcare assistant, iterating on chunking, embeddings, and retrieval to improve answer quality post-launch.”

Cheyenne Vasseli

Screened ReferencesStrong rec.

Senior DevOps Architect specializing in cloud and platform engineering

8y exp

“Senior DevOps/infrastructure leader currently owning all DevOps for Audi Digital, including audiusa.com and its supporting cloud, CDN, CI/CD, and repository ecosystem. Stands out for delivering two simultaneous enterprise-scale migrations—100+ repo GitHub migration and Apollo Router supergraph platform migration—two months early with minimal disruption, while operating deeply hands-on in Kubernetes, containers, and cloud architecture.”

“Candidate is a hands-on engineer using AI as a controlled coding partner rather than an autonomous decision-maker. They have practical experience designing and leading structured multi-agent coding pipelines with specialized roles for code generation, review, and test coverage, and show strong judgment around reliability through schemas, guardrails, reviewer gates, and manual validation.”

“Enterprise Customer Success/Account Manager with deep Braze martech expertise, driving adoption, renewals, and expansion across major consumer brands. Notable wins include growing a nationwide coffee retailer account from $400k to $1.2M, securing a $100k+ TAM upsell through expectation resets, and turning a churn-risk DTC onboarding into a case study and conference speaker via cross-functional execution and product feedback loops.”

Gemma Guan

Screened

Senior Data Analyst specializing in marketing analytics and digital strategy

9y exp

“Marketing and brand communications professional who has operated in a product-adjacent capacity and recently built a web app, Sync Circle, end to end as a graduate project. Brings a blend of digital customer experience, MVP product thinking, and research-data workflow experience, including AWS-based scraping and documentation practices relevant to structured, transparent research environments.”

“Amazon Prime Video backend engineer who built and operated high-traffic Python/FastAPI services and AWS-native data/batch systems. Demonstrates strong production reliability and incident ownership (CloudWatch/X-Ray), plus measurable performance wins (8s to <200ms query latency, ~40% CPU reduction) and cost-focused architectures (Lambda + ECS/Fargate with Fargate Spot).”