.png){kind=logo}
Vetted CI/CD Professionals
Pre-screened and vetted.
Pallavi Velpula
Mid-Level Software Engineer specializing in backend APIs, cloud, and automation
“Backend engineer at Esurgi focused on real-time clinical workflow systems, improving API reliability, performance, and security. Has hands-on experience with FastAPI/Pydantic, JWT/RBAC and row-level data isolation, plus Kafka-based real-time processing—including fixing duplicate-processing edge cases via idempotency and offset management and rolling out refactors safely with feature flags and staged deployments.”
Anjali Chandana
Mid-level AI Engineer specializing in NLP, computer vision, and MLOps
“AI Engineer at DXC Technology who has shipped production LLM/NLP systems on AWS (SageMaker, FastAPI) and optimized them for real-time latency and unpredictable traffic using quantization, batching, and autoscaling. Strong MLOps and monitoring discipline (MLflow, CloudWatch, SageMaker Model Monitor) and proven business impact—delivered models with 92% predictive accuracy and cut enterprise decision-making time by 30% through close collaboration with product managers.”
Bishara Hazboun
Senior Full-Stack PHP Developer specializing in LAMP, APIs, and scalable SaaS platforms
“Full-stack engineer who built an email/SMS marketing platform from the ground up using PHP (Yii2/Laravel) and JS (jQuery/Vue components), including campaign reporting, A/B testing, and extensive ESP/SMS integrations (Mailgun/Mailjet/Twilio plus AWS SES/SNS). Notably scaled the system for very large contact ingestion by migrating from MySQL to ClickHouse and implemented reliability measures like retries, logging, and rate limiting.”
Gauri Subhash Nerkar
Mid-level Customer Success Engineer specializing in AI analytics and cloud deployments
“Customer Success Engineer focused on secure customer integrations for web/AI analytics solutions, frequently aligning retail/business teams with security requirements. Has hands-on experience troubleshooting and hardening API-based integrations in AWS (IAM least privilege, VPC/private subnet patterns, CloudWatch/CloudTrail) and delivering repeatable containerized deployments via Bitbucket CI/CD.”
Fahad Altaf
Principal DevOps Architect specializing in cloud platform engineering and SRE
“End-to-end engineer focused on AI-native enterprise systems, including a production generative knowledge platform using RAG + semantic search over internal documentation (React, Python/Flask, GPU-hosted NLP models, Pinecone) with strong CI/CD and observability. Reports concrete outcomes including 40% faster knowledge access and ~75% employee adoption, and has led incremental cloud-native modernization using feature flags, parallel runs, canary releases, and regression testing.”
Pravallika Chidipudi
Mid-level QA Engineer specializing in API and automation testing
“QA automation engineer focused on backend/API quality who owned an end-to-end API regression suite and integrated Cypress/JS automation into GitLab CI with smoke-vs-nightly regression gating. Caught a critical auth security regression (expired tokens returning 200 instead of 401) before production and is strong in stabilizing flaky tests using network interception and actionable CI reporting.”
pramod kumar kand
Mid-Level Cloud-Native Software Engineer specializing in microservices, DevOps, and AI integration
“Backend-focused Python engineer who owned high-traffic internal services end-to-end (FastAPI/Django) including REST/GraphQL APIs, PostgreSQL optimization, async task processing via SQS, and full CI/CD. Strong Kubernetes-on-EKS and GitOps (ArgoCD + Helm) experience, plus Kafka real-time streaming work and phased cloud-to-on-prem migration support.”
Anjana Priya Swathi Samudrala
Junior Full-Stack AI Developer specializing in LLMs and RAG applications
“Product-minded software engineer who owned a Shopify POS app end-to-end at Swym, shipping an MVP and then scaling iteration speed with E2E automation and CI/CD—resulting in a Shopify Badge, Top-5 App Store ranking, and +40% new user acquisition. Also built an ESG insights tool using React/TypeScript + FastAPI with Snowflake and a RAG pipeline, plus microservices patterns (async jobs, queues, DLQs, autoscaling) and internal Metabase/SQL analytics dashboards.”
Andrew Park
Mid-Level Software Engineer specializing in QA automation and full-stack web development
“Automation and customer-facing technical specialist with experience at QA Wolf and Kalmar, taking Playwright E2E testing from prototype scripts into CI-gated production pipelines (80%+ automated coverage). Also trained both software teams and industrial operations audiences (Fleet View for automated straddle carriers) and partnered with sales/customer teams to translate technical results (e.g., Siemens PLC updates, QA ROI) into adoption and faster closes.”
Monthir Ali
Senior AI/ML Engineer specializing in LLMs, RAG, and VR/XR multimodal systems
“PhD researcher (University of Utah) who built a production RAG-powered Virtual Reality Research Assistant to answer lab research questions with concrete citations. Implemented an end-to-end LangChain pipeline using PyPDFLoader, chunking strategies, OpenAI embeddings, and ChromaDB, with emphasis on grounding to reduce hallucinations and ensure research-grade accuracy. Collaborated closely with a non-technical PhD advisor to scope requirements, manage cost constraints, and demo iterative progress.”
Blessing Alfred
Senior Frontend & Mobile Engineer specializing in React, Vue, and TypeScript
“Frontend engineer who has led end-to-end builds of both e-learning and e-commerce platforms in Next.js/React + TypeScript, with a strong focus on scalable component architecture, pragmatic state management (Redux/Zustand), and quality enforcement (linting, conventions, Cypress). Notably pivoted from NextAuth to a custom server-auth flow to support backend-introduced 2FA, and has experience executing fast hotfix rollouts including urgent third-party provider switches.”
fahliyanto prasetyo
Mid-level QA Engineer specializing in digital banking mobile and web testing
“QA professional with experience spanning mobile/web applications plus API and backend behavior testing, using Jira and TestRail along with exploratory/regression and compliance-focused verification. Describes a structured approach to meeting tight deadlines by breaking work into modules, estimating test execution timelines, and using AI tools to accelerate documentation and analysis when test case volume is high. No direct console testing or TRC/XR/LOT certification experience yet, but has a compliance-testing foundation.”
Isha Harne
Intern Software Engineer specializing in ML applications and LLM platform engineering
“Full-stack engineer who builds and scales customer-facing and internal AI products end-to-end (React/TypeScript/FastAPI/MongoDB) with strong product instrumentation and rapid MVP iteration. Built an AI-powered code review assistant adopted across teams and integrated into CI/CD, reducing manual review time by 30%+, and has hands-on experience with LLM retrieval/reasoning systems (LangChain + FAISS) and microservices scaling using RabbitMQ, Docker, and AWS.”
Pravelliika Chirivella
Mid-level Full-Stack Developer specializing in Django/React and FinTech automation
“Product-minded full-stack engineer who owns customer-facing products end-to-end and iterates quickly using MVP validation, feature flags, automated testing, and staged rollouts. Has built TypeScript/React systems with modular backends and designed microservices with async messaging (RabbitMQ), handling scale issues like ordering, retries, and idempotency. Also delivered an internal ops automation tool with a self-serve real-time workflow dashboard that reduced errors and drove rapid adoption.”
Deva Sai Kumar Bheesetti
Mid-level Full-Stack Engineer specializing in data automation, cloud & AI
“JavaScript engineer who effectively "maintains" an internal open-source-style React/Node.js shared library used by multiple teams—owning API stability, semantic versioning, CI/testing, logging, and documentation. Demonstrates strong cross-team debugging and change-management skills (schema-driven refactors, feature flags, validation layers) to ship new features without breaking existing workflows, plus a profiling/benchmarking-driven approach to performance.”
Jyothi RajaMurugan
Mid-level .NET Full-Stack Developer specializing in finance and healthcare web apps
“Full-stack engineer with end-to-end ownership of a data-heavy financial dashboard module at Brown & Brown Insurance, spanning .NET Core APIs, EF/SQL Server, and React/TypeScript UI. Demonstrates strong focus on performance tuning (indexing, pagination, caching, async) and secure service design (Azure Key Vault, JWT/RBAC) in a microservices context.”
Jonathan Grebe
Mid-level Robotics Software Engineer specializing in ROS, C++ and embedded Linux
“Robotics software lead at Icor who grew from intern to owning the end-to-end software lifecycle for a mobile manipulator platform deployed to 300+ customers globally. Deep hands-on ROS2/MoveIt2 and navigation-stack integration (URDF/TF, sensors, behavior engine) plus production infrastructure (CI/CD, OTA, field OS upgrades) and real-world performance tuning for motion planning in EOD multi-robot environments.”
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.”
Antonio Alcala
Mid-level Systems Integration & Test Engineer specializing in embedded robotics and automation
“Senior engineering student leading a robotics capstone using a Jetson Nano + Yahboom DOFBOT to play whiteboard games (Tic-Tac-Toe, Hangman) via computer vision and ML. Owns the inverse kinematics and OpenCV pipeline, uses Gazebo/URDF for simulation, and is planning C++/multithreading/Pybind11 optimizations to meet real-time constraints on limited embedded hardware.”
Paritosh Hattyangdi
Junior Robotics Engineer specializing in controls, simulation, and production debugging
“Robotics software engineer who helped build a startup "robo-chef" system end-to-end, including pick-and-place simulation using ArUco-marked stations and smooth motion planning. Hands-on ROS 2 integrator across LiDAR/IMU/camera perception-to-navigation stacks (Nav2, SLAM Toolbox, ros2_control), with demonstrated ability to debug real-time timing drift and improve repeatable placement through calibration and motion blending. Uses Gazebo simulation plus Docker/CI pipelines to validate and deploy robotics software reliably.”
Haytham Nasri
Software Engineering Manager specializing in cloud-native mobility and enterprise Java
“Backend/architecture-focused player-coach who designed and built two partner-facing data APIs using a contract-first (OpenAPI) governance model in Java (Quarkus/Spring Boot). Strong in technical standards, incident response, and delivery systems—improved reliability under peak load (DB/index fix) and sped up delivery by streamlining PR/review processes while maintaining production stability.”
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.”
Sai Srujan Vemula
Mid-level Full-Stack Developer specializing in Java/Spring Boot and React on AWS
“Full-stack engineer with enterprise experience at Meta System and DXC, owning end-to-end delivery of a shipment visibility portal (React UI in Liferay DXP + Java/Spring Boot REST APIs) with Dockerized deployments and automated test coverage. Has hands-on AWS work across EC2/Lambda/S3 and multiple databases (DynamoDB, RDS, Neptune, DocumentDB), plus built a Python/Flask data migration platform with validation for correctness and repeatability.”
Frank Albanese
Executive CTO & Engineering Leader specializing in AI/ML and distributed systems
“Founder of Essence, a wisdom and memory preservation platform with early testing indicating mental health benefits and positive impact for hospice patients. Has raised $25K to date and reports prior capital-raising experience through Y Combinator and the Berkeley Angel Network, with a GTM plan starting in hospice and expanding to the general public.”