Vetted Windows Professionals

“DevOps/Infrastructure engineer with hands-on production experience building Jenkins CI/CD pipelines that provision Kubernetes infrastructure and process data into a MapR cluster. Uses Terraform to provision AWS resources (EC2, S3, VPC, subnets) with remote state in S3, separate environment state files, and code review/validation practices; targeting $135k base.”

“Cybersecurity leader with 13 years in IT/cyber and 8 years in management, currently managing ~200 people while innovating explainable AI (XAI) for military/high-stakes decision-making. Experienced with large budgets, resource allocation, and investor engagement, and is motivated to build a proactive, future-focused cyber company centered on Zero Trust and human-overseen XAI.”

Tejasri Alla

Screened

Mid-level Full-Stack Python Developer specializing in banking microservices

Northridge, CA5y exp

“Built and led production LLM-agent systems in enterprise environments (Simmons Bank, Mindtree), automating support ticket triage end-to-end with strong reliability engineering (99.9% uptime, Prometheus/Grafana, ECS autoscaling, CI/CD rollback). Demonstrated clear business impact (55% faster handling, SLA compliance 72%→96%, 800+ hours saved/month, +18% CSAT) and mature eval/feedback loops that improved extraction accuracy by 21%.”

Erico Rahmad Darmanto

Screened

Mid-level QA Engineer specializing in test automation and cybersecurity testing

Yogyakarta, Indonesia5y exp

“Early-career QA tester (no professional game studio experience yet) demonstrating a structured, systems-oriented approach to testing complex state logic. Has hands-on experience using Jira and TestRail and provides detailed defect reports (timing conditions, unstable network scenarios, logs/video) that help engineering diagnose async state-validation issues and verify fixes via regression.”

Valeriy Filin

Screened

Senior Backend/Cloud Engineer specializing in IaC, SaaS platforms, and ML/Computer Vision

Aliso Viejo, CA19y exp

“Backend/infrastructure engineer with experience across API development (FastAPI/MySQL/SQLAlchemy), Kubernetes deployments, and large-scale data processing—built a Dockerized Python pipeline to pre-aggregate ~1B Graylog events for efficient querying. Has enterprise infrastructure automation background at Hewlett Packard Enterprise (Datafabric) using Terraform/Ansible with fail-fast and rollback practices, plus Kafka-based sensor streaming prototypes to Google Cloud with Java workers and autoscaling.”

“Software engineer with robotics and data-platform experience from CVS Health, spanning Java/Spring Boot microservices, secure APIs, React dashboards, and Snowflake/SSIS ETL optimization. Hands-on ROS 2 developer who built real-time LiDAR obstacle-detection nodes, improved SLAM performance, and coordinated multi-robot communication using DDS, with simulation/testing via Gazebo and CI/CD deployments using Docker and Jenkins.”

“Candidate’s primary change-management approach centers on employee dialogue sessions and coaching, focusing on explaining business results and organizational climate to build employee understanding and support for organizational changes.”

“Systems Engineer at Tata Consultancy Services with hands-on ownership of enterprise logistics microservices (Spring Boot) using Kafka integrated with Azure Event Hubs, including partitioning strategies and operational handling of consumer lag/duplicate events. Also built a full-stack road-accident blackspot detection application using Python-based spatial clustering and model evaluation with a JavaScript/Mapbox frontend.”

“Bilingual video producer/editor with 6 years at The Weather Channel creating YouTube and social content reaching ~8M viewers, and 8+ years of daily Premiere Pro/After Effects use. Has delivered branded content for clients like Barcelona F.C. and IBM, combining retention-focused longform editing with polished motion graphics, templates, and analytics-driven quality control.”

Akhil Bharadwaj Mateti

Screened

Mid-level Software Engineer specializing in Data Science and Machine Learning

Arlington, Virginia4y exp

“Robotics/AV perception engineer who built a semantic-segmentation road detection system and integrated it into a ROS-based real-time pipeline (ROS bag camera feed to live monitor) achieving ~12 FPS. Strong in practical deployment work: solved multi-library versioning issues (ROS/OpenCV/TensorFlow), containerized the stack with Docker, and optimized inference by shifting runtime to C++ for large latency gains on NVIDIA hardware.”

Juan Mendez

Screened

Senior Game/Graphics Software Developer specializing in Unity and C++

12y exp

“Self-taught Unity developer who implemented multiplayer using Photon PUN, replacing a custom PHP request-based approach and improving stability (especially around accidental disconnects). Learns new networking frameworks quickly (reported ~2 weeks to pick up and implement PUN) and uses AI selectively to identify better library-driven solutions.”

Navya Sureddy

Screened

Mid-level Full-Stack Developer specializing in Angular/React and Spring Boot

Columbus, IN5y exp

“Full-stack engineer with experience at Cummins owning production features end-to-end (React/TypeScript + Node + Postgres) and operating them in AWS (EC2/RDS/S3/IAM) with CloudWatch-based observability. Also built resilient ETL and third-party integrations, including an AWS Glue–S3–Redshift pipeline hardened with validation, idempotent UPSERTs, retries/backfills, and quarantine handling to prevent bad or duplicate data.”

Patrick Seeman

Screened

Mid-level Data Scientist and Game Tech Leader specializing in ML, healthcare analytics, and Unity

Manila, Philippines5y exp

“Data scientist at Cleveland Clinic Taussig Cancer Institute who led a production automation to convert unstructured (and sometimes image-based) pathology reports into structured data for government reporting. Built an on-prem LangGraph + Ollama pipeline with OCR (Tesseract), spell-checking, confidence scoring, and human-audited guardrails to mitigate hallucinations and improve reliability under PHI constraints.”

“Unity/Meta Quest VR developer who helped ship a pharmaceutical lab-training simulator, owning key interaction systems (liquid transfer, pipette behavior) and building custom editor tooling to accelerate objective testing. Also built a solo early-lifeform simulation featuring procedural soft-body mesh generation and physics-driven animation, demonstrating strong systems/physics programming depth.”

Subhash Chandra

Screened

Senior AI/ML & Robotics Research Engineer specializing in SLAM and multi-modal perception

Norman, OK8y exp

“Robotics engineer who built a smart campus tour robot on a Kobuki Turtlebot using ROS 1, implementing a full navigation stack (semantic world model, A* planner, tour executor, path follower) and integrating SLAM (gmapping) plus a hybrid reactive safety controller. Experienced taking systems from Gazebo simulation to real hardware, including extensive real-world debugging and Docker-based development to handle ROS/Ubuntu version constraints; planning a move to ROS 2 on Turtlebot 4.”

Bhavishyasai Chigurupati

Screened

Mid-Level Data/ML Engineer specializing in Generative AI and cloud data platforms

Overland Park, KS5y exp

“Built and productionized an LLM-based financial document analysis system using a RAG pipeline, including robust ingestion/chunking/embedding workflows, vector DB retrieval, and an AWS-deployed FastAPI service containerized with Docker. Demonstrates strong applied expertise in improving retrieval quality and latency at scale, plus hands-on experience debugging agentic/LLM workflows with monitoring and trace-based analysis while supporting demos and customer-facing adoption.”

“Composer/producer and music editor working primarily in Cubase with commercial and app experience. Notable projects include an Anheuser-Busch veterans spot where they intentionally avoided a traditional emotional drop by thinning arrangement and using crossfaded, automated transitions, plus full music creation for a meditation app built around solfeggio frequencies.”

“Backend/data engineer with hands-on AWS data platform work (S3 + Glue + Lambda/Step Functions) and Kubernetes GitOps delivery (Argo CD + GitHub Actions). Has led ingestion and transformation of semi-structured event data, built internal APIs for ETL operations/monitoring, and implemented Kafka-based near-real-time streaming with enrichment and Elasticsearch for search/analytics, plus experience supporting an on-prem ERP migration to AWS.”