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Vetted Scrum Professionals
Pre-screened and vetted.
William Roy
Executive sales leader with 13 years in SaaS, technology, and consultative growth
“Sales and operations leader who helped take Executive Career Partners from $2M and in the red to $4M in sales, while owning roughly $1M personally/team-wide and modernizing CRM, reporting, training, and pricing operations. Unusually hands-on across both frontline selling and back-office systems, with additional experience in government proposals, SaaS line creation, ecommerce integrations, and company-wide rebranding.”
Archana Nair
Senior Growth Marketing Manager specializing in SEO and paid acquisition for multi-location brands
“Growth-creative marketer in the dental/clinic space who runs offer-led, multichannel acquisition campaigns (Google Ads + paid social + email/SMS) to lift bookings and lower CPA across underperforming locations. Builds flexible, location-specific frameworks and iterates modular creative (hooks/offers/CTAs) using platform-specific performance signals; has also directed video/landing-page creative tied to improved reviews and referrals.”
Varun Rao
Junior Data Scientist specializing in generative AI and RAG systems
“Data scientist at Guardian Airwaves building a RAG-powered quiz generator using Grok AI, with hands-on experience solving hard document-ingestion problems (PDFs with images/tables) via unstructured.io and LlamaIndex. Has deployed production systems on AWS EC2 and brings a pragmatic approach to agent reliability (human-in-the-loop, LLM-based eval, latency/cost metrics) while effectively translating RAG concepts to non-technical stakeholders.”
Ayush Desai
Junior Full-Stack Software Engineer specializing in cloud-native web and VR systems
“Software developer with EdPlus experience building pragmatic internal tools (Next.js/TypeScript) and cloud automations (AWS) that feed Google Sheets and Looker Studio dashboards for operational visibility across 30+ student workers. Also worked on an IEEE Xplore-published missing-person tracker using a SPARQL graph database on Azure with a TypeScript/React frontend, and has experience navigating legacy access constraints (OpenVPN) while enabling remote VR previews via ngrok.”
Anant Jain
Mid-Level Full-Stack Software Developer specializing in React, TypeScript, and Azure
“Frontend-focused engineer who has delivered an end-to-end React SPA with a .NET 9 backend on Azure, deploying via Azure Container Apps and leveraging zero-downtime deployment slots. Built complex TypeScript UI flows (10-page form with global/partial save and custom validation) using Redux + MUI integrated from Figma, and emphasizes quality with RTL/Vitest plus Selenium automation (~95% coverage) and analytics-driven iteration (Heap, Alida, GTM).”
Veera Rishitha Koppaka
Intern AI/Software Engineer specializing in RAG, LLM agents, and cloud-deployed search
“Built and deployed a production AI document Q&A (RAG) platform that lets non-technical users query hundreds of PDFs/Word files, cutting search time from hours to seconds. Experienced with scaling retrieval pipelines (chunking, embeddings, vector search, batching/caching) and orchestrating reliable workflows using AWS Step Functions/Airflow with robust retries, monitoring, and fallbacks.”
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.”
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.”
Himani Soni
Mid-Level Frontend Engineer specializing in React and real-time dashboards
“Frontend engineer focused on building and maintaining an internal React component library with strong emphasis on performance, accessibility, and developer experience. Has hands-on experience improving a slow network dashboard by refactoring heavy UI data processing to reduce re-renders, and supports users by reproducing issues, diagnosing bottlenecks, and clearly communicating fixes.”
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.”
Gugun Ruhyat
Mid-level QA Engineer specializing in manual and API automation testing
“No hands-on console game testing experience, but reports being fairly familiar with console certification frameworks (Sony TRCs, Microsoft XR, Nintendo LOT) and can articulate key compliance areas (network, save data, performance/stability, legal/regional, DLC). Uses AI tools in day-to-day QA work to refine database queries and test cases, and prioritizes production issues first under deadline pressure.”
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.”
Edmarie Bonilla
Director-level Operations & HR Talent Strategy leader specializing in performance metrics and L&D
“Operations Manager leading a 10-person BA team and owning operations execution across three lines of business, with additional ownership of OKRs tied to talent development (IDPs), value metrics, and recognition programs. Designed an onboarding framework aligned to company strategy and OKRs that improved retention, ramp-up, and engagement, and built healthcare college partnerships to strengthen hiring and internship pipelines while supporting cross-functional enterprise system implementations (policy admin, finance/HR, billing, call centers).”
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.”
Alexander Mammele
Senior Technical Designer/Engineer specializing in Unreal Engine and AR/VR interactivity
“UE5 Blueprint-focused gameplay developer who shipped a VR rhythm title (Starwave), owning the player-facing star-hit interaction/feel and iterating heavily through playtests without dedicated QA. Also designed a modular tutorial/quest system by decomposing quests into reusable components so writers could assemble content independently, and has experience debugging Unreal Nav Mesh pathing issues that impacted gameplay and load times.”
Tanisha Pradeep Bhola
Mid-level Software Development Engineer specializing in backend, cloud, and microservices
“Accenture engineer with hands-on experience taking an NLP sentiment analysis system from prototype to production, emphasizing robustness to noisy data, scalability, and observability (dashboards for latency/error/throughput). Also supports customer-facing teams with demos and PoCs, translating client requirements into secure, scalable architectures and troubleshooting LLM/agent workflows via logs and step-level traces.”
LAKSHMI KATTAMURI
Mid-level Embedded Software Engineer specializing in RTOS and microcontroller firmware
“Backend/embedded-focused engineer with hands-on experience designing real-time, memory/power-constrained firmware architectures and also building Python/FastAPI services. Demonstrates strong production rigor across migrations (strangler pattern, shadow reads, feature flags), security (OIDC/JWT, RBAC/ABAC, Postgres RLS), and robustness for async workflows (idempotency, event ordering, state machines).”
VENU ANUPATI
Mid-level AI/ML Engineer specializing in Generative AI and LLM systems
“Senior AI/ML engineer with hands-on experience building production LLM systems in healthcare, including RAG-based clinical question answering and end-to-end MLOps on Vertex AI and Kubernetes. They combine strong platform engineering with applied GenAI work, citing a 35% improvement in factual accuracy and a 30% boost in internal team productivity through modular Python services and CI/CD.”
Bilal Sadaqat
Senior Machine Learning Engineer specializing in NLP, LLMs, and AI systems
“AI/ML engineer with hands-on experience building a healthcare-focused generative AI application end-to-end, from architecture and data design through deployment, monitoring, and iterative improvement. Particularly strong in multi-agent LLM systems, fine-tuning, and safety guardrails, with measurable impact including a 20% accuracy lift to 91% and 10% latency improvement in a nutrition recommendation pipeline.”
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.”
Sushma Ravichandran
Mid-level Full-Stack Software Engineer specializing in FinTech and AI
“Built and launched a production AI knowledge assistant at Virtusa used by 8,000 people, combining RAG, tool use, and strong reliability practices to cut lookup time by 60%. Also owns full-stack delivery, including a real-time transaction monitoring dashboard built with React, Spring Boot, and Kafka handling 200K API requests per day.”
Sri Mounika Jammalamadaka
Mid-level AI/ML Engineer specializing in GenAI, LLMs, and data platforms
“Built and helped deploy a production RAG-based LLM assistant for HVAC anomaly diagnostics, partnering closely with field engineers and operations teams to make AI outputs trustworthy in real workflows. Stands out for practical post-launch optimization work—improving retrieval quality, reducing hallucinations, and stabilizing non-deterministic behavior—which contributed to roughly a 40% reduction in diagnosis time.”
Emil Guirguis
Executive product leader specializing in AI, SaaS, and e-commerce
“Product leader who progressed from Director to VP while building a 0-to-1, award-winning B2B eCommerce platform on MACH architecture. Brings unusually hands-on AI product depth, including vectorized/document-based data foundations, RAG-powered commerce use cases, and a customizable GPT-based shopping assistant, while emphasizing human-supervised AI and customer-driven roadmap decisions.”
Brandon Bolds
Senior Project/Program Manager specializing in enterprise transformation and supply chain
“Project leader who transitioned from government contracting, manufacturing, construction, and disaster recovery into enterprise SaaS implementations. Most recently served as a senior PM at Logic Factory leading complex supply chain optimization and logistics transformation programs for Fortune 500 clients like Kraft Heinz, Carvana, Amtrak, and Herbalife, including a 3-year, $4M implementation.”