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Vetted Monitoring Professionals
Pre-screened and vetted.
Samuel Allhert
Junior QA & Performance Tester specializing in test automation
“Software QA/testing candidate with experience in website testing and server performance monitoring using tools like LoadRunner, SiteScope, Katalon Studio, and Playwright. Has demonstrated ability to quickly learn new enterprise tools and processes in a banking environment (ramped up in about one month) and applies requirements-based and load/performance testing principles.”
Tejas Belakavadi Kemparaju
Mid-Level Software Engineer specializing in backend, microservices, and ML systems
“Primary designer/implementer/maintainer of an open-source JavaScript library for programmatic SSML generation and validation in text-to-speech pipelines. Focused on safety-by-default APIs with vendor-specific extension adapters, strong backward compatibility/deprecation practices, and measurable performance gains by removing redundant validation stages. Emphasizes developer experience through example-driven documentation and systematic community issue triage.”
Yang Qi
Mid-level Full-Stack Software Engineer specializing in AI platforms and data visualization
“Full-stack engineer with healthcare/bioinformatics experience who built a real-time genomic data analysis and 2D visualization feature (React/TypeScript + D3, FastAPI) at University of Utah Health, deploying on AWS ECS Fargate with monitoring and measuring engagement via Google Analytics. Also built AWS Lambda-based ETL pipelines for lab data ingestion using pandas/NumPy with reliability patterns (idempotency, retries, CloudWatch alerting) and drove maintainability improvements through shared component libraries and React hooks.”
Lincoln Chanakira
Mid-level Data Scientist specializing in cloud analytics and applied AI systems
“Hands-on backend engineer with practical experience improving latency in Django-based API systems by fixing missing indexes and eliminating N+1 queries. Also built an AI scheduling system using FastAPI, a relational database, AI/ML workflows, and an operational reporting dashboard, with a clear bias toward correctness and maintainable architecture.”
Kristopher Simonsen
Senior AI/ML Engineer specializing in Generative AI and healthcare analytics
“ML/AI engineer with strong healthcare insurance domain depth who has owned fraud detection and LLM claims products end-to-end in production. Stands out for combining modern MLOps and RAG architecture with measurable business impact, including millions in fraud savings, 40% faster analysis, and reusable platform tooling that accelerated multiple teams.”
Sai Prudhivi
Mid Software Engineer specializing in full-stack microservices and cloud platforms
“Backend-focused engineer with experience building high-volume policy management and enterprise pricing systems, including Django/FastAPI/Flask services, Kafka-based async workflows, and Prometheus/Grafana observability. While they have not yet shipped a customer-facing AI agent or production LLM integration, they bring strong cloud, API, reliability, and scalable system design fundamentals that translate well to responsible AI infrastructure work.”
Sai Arvind
Mid-level Full-Stack Engineer specializing in AI-powered internal tools
“Backend/platform engineer with strong ownership of production systems, including a full Azure migration from a VM-based monolith to a containerized, event-driven microservices architecture. They combine cloud infrastructure, LLM/RAG optimization, and pragmatic stakeholder management, with measurable wins including 90% infra cost reduction, faster deployments, and significantly improved latency and token efficiency.”
Mid-level Software Engineer specializing in full-stack development and backend APIs
“Backend engineer who has designed and evolved high-traffic event/activity management systems using Node/Express and PostgreSQL, prioritizing scalability and reliability with a layered architecture. Has led zero-downtime refactors/migrations using parallel runs, dual writes, and rigorous validation/monitoring, and brings a security-focused API approach (JWT, RBAC/ABAC, rate limiting, DB-enforced tenant/RLS filters).”
Jaydeep Gondaliya
Mid-Level Full-Stack Software Engineer specializing in Healthcare IT and FinTech
“Engineer with experience in regulated healthcare and financial systems, including a United Health healthcare service migration to AWS. Built documentation-as-code for CI/CD (Jenkins/Docker/Kubernetes/Terraform + GitHub Actions) that accelerated release cycles from 3 weeks to 4 days and tied security configuration (Spring Security/OAuth2/JWT) directly to HIPAA/GDPR compliance. Strong in observability-led incident response (ELK/Prometheus/Grafana) and performance tuning (PostgreSQL, async processing), citing MTTR reduction from 3 hours to 50 minutes and support for 250K+ concurrent users.”
Sudheer Kumar Divvela
Mid-level GenAI Engineer specializing in RAG, LLM agents, and enterprise automation
“Accenture engineer who built and shipped a production RAG-based automation/chatbot for SAP incident triage and troubleshooting, embedding thousands of runbooks/logs/tickets into a semantic search pipeline and integrating it into Teams/Slack. Reported major productivity gains (30–60% time reduction), >90% validated answer accuracy, and sub-2-second responses, with strong orchestration (Airflow/Prefect/LangGraph) and reliability practices (guardrails, testing, monitoring).”
“Backend developer (recent co-op at Ticker) building and architecting financial backend services with near real-time data needs, including third-party API integrations. Improved performance and reliability via Redis caching (tiered refresh + TTL) and PostgreSQL query tuning (EXPLAIN ANALYZE + composite indexes), and has exposure to AI-agent/RAG concepts for validating stock-market information against trusted sources.”
Akanksha K
Mid-Level Full-Stack Software Engineer specializing in Java microservices and React
“Backend-focused TypeScript/Node.js engineer who owned a production microservice for transactional workflows in a React + microservices platform, integrating REST and Kafka event processing. Emphasizes operability and correctness (idempotency keys, exponential backoff retries, DLQs, centralized logging/metrics/alerts) plus strong API DX via versioning and Swagger/OpenAPI with improved error contracts based on developer feedback.”
Shreya Thakur
Mid-level Software Engineer specializing in Python backend and LLM/ML systems
“Backend/AI engineer who has shipped production LLM systems end-to-end, including an AI request-routing service (FastAPI + BART MNLI + OpenAI/Gemini) that improved accuracy ~25% after launch via eval-driven prompt/category iteration. Also built an enterprise document intelligence/RAG platform on Azure (Blob/SharePoint/Teams ingestion, OCR/NLP chunking, embeddings in Azure Cognitive Search) with PII guardrails (Presidio), confidence gating, and scalable event-driven pipelines handling millions of documents.”
Likhith Kumar Yaramala
Junior Backend/Cloud Software Engineer specializing in microservices and DevOps
“Cloud/DevOps-focused engineer with strong Linux production operations experience, deploying microservices to AWS on Docker/Kubernetes. Has built and operated secure CI/CD (GitHub Actions/Jenkins) and Terraform IaC workflows with approvals, remote state, and drift detection, and has hands-on incident recovery experience in containerized environments; limited direct IBM Power/AIX/PowerHA exposure.”
Jason Sipula
Executive Technology Leader & Strategic Architect specializing in cloud-native platforms
“Technology leader with experience driving multi-year transformations at Jewelry Supply, including migrating a legacy custom e-commerce platform to SaaS and leading a 3-year ERP program from requirements through implementation and training. Also led a major architecture shift from self-hosted virtualized infrastructure to cloud Kubernetes with a strong DevOps/DevEx focus, emphasizing stakeholder buy-in and scalable processes for distributed engineering teams.”
Ashritha G
Mid-Level Software Development Engineer specializing in distributed systems and cloud microservices
“Software engineer with enterprise, customer-facing delivery experience across Outlier AI and Wipro—builds and productionizes workflow and integration solutions with a strong focus on real-world performance and reliability. Delivered a Firestore/Redis-backed real-time pipeline that cut page load times by 20% and held consistent performance across 10,000+ sessions, and has hands-on production incident experience stabilizing high-traffic microservices via caching, indexing, and safe canary deployments.”
Sam Fish
Senior Full-Stack Engineer specializing in web platforms, cloud infrastructure, and data systems
“Full-stack/product-leaning engineer who owned an end-to-end AI Tutor feature (Claude-powered) shipped simultaneously to iOS/Android/web via Expo, with Cloudflare Workers backend and PostHog analytics. Built the company’s GitHub-based CI/CD to coordinate app store releases with backend blue/green deployments. Also has significant data engineering experience (including ~8TB/day workloads) using dbt/Fivetran plus sharding and hashing-based diffing for correctness.”
Thira Patel
Junior Robotics/Mechatronics Engineer specializing in SLAM, motion planning, and autonomy
“Robotics software engineer focused on autonomy stacks for high-payload AMRs using ROS2/Nav2, with hands-on expertise in SLAM/localization and sensor fusion (RTK GPS, IMU, wheel odom, ZED2) to eliminate drift and stabilize real-time behavior on deployed hardware. Also built multi-robot coordination in ROS2/Gazebo and uses Docker + Git/CI-style testing to create reproducible simulation-to-hardware pipelines.”
Marvin Kaunda
Mid-level Full-Stack Product Engineer specializing in SaaS and AI search
“Two-time founder and former CTO/CPO who has shipped and operated full-stack products solo, including a real-time community platform (Twitter/Slack-like) with Next.js/TypeScript, WebSockets, Redis, and strong post-launch analytics (PostHog/Sentry). Also built durable multi-step AI-agent workflows using Inngest with state machines, checkpointing, and validation gates, and has hands-on Postgres performance tuning experience validated via EXPLAIN ANALYZE.”
Tomasz Klapsia
Executive Technology Leader (CTO) specializing in SaaS platforms, DevOps, and regulated systems
“Independent product builder with several live startups spanning transit, gaming, and SaaS/API tools. Notably built a Cyprus bus routes app before transit data was broadly available on Google Maps, and is currently maintaining products like CountriesDB and HolidayDB while pursuing SEO-led growth and validating ideas solo before expanding.”
Nicholas Shellabarger
Senior Software Engineer specializing in distributed FinTech systems
“Founder of an early-stage startup who has already raised initial capital through a SAFE and built the platform with minimal funding. Demonstrates practical knowledge of VC and accelerator fundraising, a deliberate equity-preservation strategy, and is now seeking additional financing to create runway and scale the business.”
Meghana Divve
Mid-level Full-Stack Software Engineer specializing in cloud-native enterprise applications
“Built and launched a production internal AI support assistant at CompuCom, focused on reducing time spent searching across systems by combining retrieval, internal tool use, and grounded LLM responses. Stands out for pragmatic zero-to-one execution: scoped the product in phases, prioritized safety over premature autonomy, and iterated using real user feedback to improve relevance, usability, latency, and cost.”