Vetted Troubleshooting Professionals

“Ad operations-focused paid media candidate with broad exposure across major DSPs and ad servers, including DV360, AppNexus, The Trade Desk, Amazon DSP, CM360, and Sizmek. Their experience centers on campaign setup, tagging, QA, reporting, and diagnosing tracking/viewability issues rather than owning budget strategy, making them potentially strong for execution-heavy media operations roles.”

“Product leader with experience at Chegg building student-focused education products, including an ebook subscription launched in response to Amazon competition that helped drive major digital growth. Also led integration of AI/ML capabilities for question classification and personalized learning workflows, with a strong emphasis on accuracy, affordability, and acting on student feedback.”

“Software engineer with 5+ years of experience building and scaling high-traffic web systems, including e-commerce-style purchasing/reservation flows and broker back-office platforms. He has hands-on experience across Next.js front ends, Python integrations, Go load-testing tools, and MySQL/Redis-backed architectures, with notable exposure to financial reporting, MT5 integrations, and commission logic.”

“Software engineer with primary experience in Java and Python who also troubleshoots and optimizes JavaScript/React performance issues. Has handled customer-reported production problems via log-driven diagnosis and backend workflow fixes, and took ownership of simplifying and automating a service region-expansion process through time analysis and process documentation.”

Sahil Kakadiya

Screened

Junior Embedded Systems & Wireless Software Engineer specializing in BLE/Wi-Fi performance

Mountain View, CA2y exp

“Master’s capstone contributor on an autonomous rover navigation project, serving as an embedded/robotics software designer. Built low-level wheel control and odometry from encoders, integrated RealSense and RPLidar via ROS, and solved sensor-fusion/coordinate-frame issues by creating custom TF transforms. Used Gazebo to debug sim-to-real behavior and improved reliability on rough terrain by moving to dual-channel encoders when IMU data proved unreliable.”

Angie Fathalla

Screened

Mid-level Technical Consultant specializing in cloud infrastructure and enterprise automation

Clinton, NJ7y exp

“AI/LLM engineer focused on production-grade agent systems in high-stakes workflows, including a tax modernization initiative that automated tax form generation for 50,000 users. Demonstrates strong depth in reliability engineering, evaluation loops, and safe orchestration, with quantified improvements including pass-through gains from 62% to 94%, 30% lower token cost, and accuracy improvement from 88% to 99%.”

“Compensation and payroll professional with hands-on experience owning U.S. payroll validation, reconciliation, and exception management, plus supporting compensation cycles across base pay, bonuses, and incentives. Stands out for building Excel-based audit and validation tools, resolving HRIS/payroll/finance data mismatches, and strengthening controls to improve payroll accuracy and compensation consistency.”

Akhil Kunala

Screened

Mid-level Software Engineer specializing in backend systems and cloud-native FinTech

Seattle, WA5y exp

“Amazon engineer with 5+ years of experience who built an AI-assisted log investigation and triage workflow that cut debugging time by about 30% during on-call incidents. Combines observability tooling like CloudWatch and Splunk with Python, prompt engineering, and RAG-based diagnostics, and has practical experience orchestrating agentic AI workflows with a strong human-in-the-loop reliability focus.”

“Customer-facing technical pre-sales operator with experience spanning conversation intelligence, fraud/AML, martech personalization, and SEO SaaS. Stands out for turning complex enterprise evaluations into credible implementation paths, with measurable impact including a 33% reduction in deployment timelines, $5.4M+ ACV account support, and direct influence on seven-figure pipeline and deal outcomes.”

“Backend engineer focused on scalable, security-first platform architecture—recently built an end-to-end centralized access-control system that launched successfully with ~50k early adopters and was designed to support ~10x traffic growth. Experienced in production authn/authz (token verification, handoff/session migration), and in de-risking migrations via feature flags, phased rollouts, A/B testing, and Splunk-based monitoring.”

“Game QA lead with 20+ years of tooling and workflow experience, most recently leading QA on a Unity-based MLB mobile title with annual releases and major feature updates. Led QA for the PS Vita port of Borderlands 2 focused on technical requirements, performance, and usability, including making a key ship-risk call to limit multiplayer players. Known for disciplined Jira/TestRail administration, strong cross-functional communication, and uncovering critical submission-blocking issues with clear evidence and repro steps.”

“QA professional with ~7 years of experience working in Scrum teams, involved from requirements and user story creation through test strategy/planning, execution, defect triage in Jira, and verification. Highlighted catching multiple issues early on an AI-driven project to avoid production regressions and escalating a blocker where a frequently used UI was broken to get it fixed quickly. Has not shipped an AAA game title.”

“AppSec-focused customer advisor with hands-on experience integrating SAST/DAST/SCA into production CI/CD (Azure DevOps) and designing secure agent/scanning deployments in AWS (least-privilege IAM, private subnets, VPC endpoints). Demonstrates strong incident troubleshooting using logs/metrics/traces to diagnose load-related failures (timeouts/retry storms) and drive durable fixes, while tailoring risk/tradeoff communication across engineering, security, and leadership stakeholders.”

“Customer-facing technical support/solutions professional with experience at Stripe and Intuit helping developers take payment API and webhook integrations from testing to production. Uses Datadog and AWS CloudWatch to diagnose real-time production issues (e.g., webhook signature validation errors causing retries/delays) and unblocks customer deployments through hands-on, developer-oriented guidance.”

Lamar Petty

Screened

Mid-level Full-Stack Product Engineer specializing in data-driven web apps and healthcare systems

San Francisco, CA13y exp

“Full-stack engineer with production experience shipping a healthcare-focused web app (Pregnancy-Pal) using Next.js/TypeScript on GCP, integrating a Python/Flask middleware and FHIR server for patient/practitioner dashboards and messaging. Former Wikimedia Foundation Android engineer who led the end-to-end 'Year in Review' feature and built robust automated testing/CI practices (Espresso, GitHub Actions matrix). Strong emphasis on reliability via rigorous validation, comprehensive Postman testing, and detailed API documentation.”

“Solutions Architect with hands-on experience driving AWS Partner Network engagements end-to-end (technical reviews, discovery, demos, incentives, marketplace/GTM) to enable revenue outcomes, even when not the direct closer. Known for navigating complex policy/compliance changes with high-revenue partners and for being a go-to Amazon Connect specialist in ambiguous customer environments; also collaborated with founders of a small health tech company on an AI agent concept tied to healthcare workflows and medical records.”

Kiran Kumar

Screened

Mid-level Software Engineer specializing in Java microservices and GenAI automation

USA4y exp

“Software engineer (4+ years) with hands-on production GenAI experience: built an AI incident triage assistant that summarizes production logs for on-call engineers and iterated it using real incident metrics (time-to-signal, triage duration). Also shipped a RAG-based customer support knowledge assistant using embeddings + vector retrieval with strong guardrails (relevance thresholds/abstain, sanitization, auditing) and a formal eval loop (500-query gold set) that drove measurable retrieval improvements.”

“Programmatic media specialist with deep hands-on experience running high-budget AWS/Amazon campaigns, including a $4MM side-by-side DSP bakeoff (DV360, The Trade Desk, Amazon DSP) focused on awareness and cost efficiency. Strong in CTV/OLV optimization and measurement, leveraging brand lift and attention studies, and known for disciplined testing frameworks and practical troubleshooting to restore performance.”

“Backend-heavy full-stack engineer with experience at Intuit (TurboTax Live) and Paytm payments, building and scaling Java/Spring Boot microservices for high-traffic transaction systems. Has hands-on wins improving peak-load performance using Redis/disk caching and Kafka event-driven patterns, plus React/Redux work for web app integration and strong monitoring practices with ELK.”

“Customer support professional with Scrum Master and Product Owner certifications who has handled high-stakes account security incidents (including locking down an account to protect over $200k) and troubleshot live data feed integrations (XML/socket) by identifying IP whitelisting mismatches. Emphasizes transparent stakeholder communication, escalation, and building internal wiki documentation to prevent repeat issues.”

“Solutions Engineer focused on application and platform security for enterprise cloud-native deployments, advising customers on threat modeling and secure CI/CD practices across AWS and Kubernetes. Has implemented SCA/container scanning and vuln checks in pipelines, tuned thresholds to reduce false positives, and driven outcomes like faster security approvals and smoother production rollouts. Troubleshot high-load Kubernetes failures (OOMKills, registry throttling) and turned fixes into a standard tuning guide.”

Deepika Gotla

Screened

Senior Technical Support Engineer specializing in Azure Cloud & Generative AI

Bellevue, WA7y exp

“Microsoft cloud/infra engineer with 5+ years supporting enterprise Azure environments, specializing in security-focused networking (private endpoints, DNS) and production troubleshooting across Azure Front Door/App Gateway WAF/AKS. Has implemented posture improvements via Defender for Cloud, Azure Policy, and RBAC tightening, and also designs secure AWS agent/scanner integrations and modern EKS/GitHub Actions/Secrets Manager observability-enabled SDK rollouts.”

Shobana Chandrasekaran

Screened

Mid-Level Software Engineer specializing in AI microservices and generative fashion

Sunnyvale, CA2y exp

“Backend/AI workflow engineer at a startup building production AI services for fashion workflows, including an AI-powered techpack generation API in Go (Gin) with MongoDB handling ~1k+ daily requests. Recently implementing an image-to-3D dress generation feature end-to-end, integrating a Python FastAPI AI service with ComfyUI + Hunyuan, with strong emphasis on async orchestration, webhooks, and observability (OpenTelemetry + SigNoz).”

Shriya Bannikop

Screened

Mid-level Software Engineer specializing in cloud platforms, data engineering, and distributed systems

Seattle, WA5y exp

“Full-stack engineer who built and owned an AI-assisted job-matching dashboard in Next.js App Router/TypeScript, keeping LLM logic server-side and improving performance via deduplication, caching/revalidation, and streaming (35% fewer duplicate LLM calls; 40% faster first render). Also has strong data/backend chops: designed Postgres models and optimized queries at million-record scale (1.8s to 120ms) and built durable AWS multi-region telemetry workflows with idempotency, retries, and monitoring.”