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Vetted Jira Professionals
Pre-screened and vetted.
Hoai-Nam Hoang
Director-level People Operations & HR Business Partner specializing in scaling SaaS and media teams
“People/HR leader with experience building analytics and product/engineering/design orgs and managing lean global teams across APAC/EMEA/NAMER. Notably helped scale Progyny’s engineering team 4x in under two years by implementing dual career paths and leveling frameworks, repositioning engineering as a strategic partner. Experienced in senior-leader change initiatives (e.g., return-to-office) with strong manager enablement and communication rigor.”
Snehitha Borra
Mid-level Data Engineer specializing in cloud data platforms and big data pipelines
“Healthcare data engineer with hands-on ownership of claims/member data pipelines on a cloud analytics platform, spanning batch and streaming ingestion (Airflow/Kafka/Spark/Databricks) through serving for reporting. Emphasizes reliability and data quality via embedded validation, schema-drift detection, deduplication, and operational monitoring/incident response, plus pragmatic CI/CD and observability setup in early-stage/ambiguous projects.”
Leo Kim
Junior Software Engineer specializing in robotics and full-stack development
“Software Engineer at Armstrong Robotics building multithreaded C++ perception/planning/control software for robotic arms running commercial dishwashers deployed across multiple restaurant sites (up to ~2,000 dishes/day per installation). Strong in production operations: on-call debugging with deep logging/video analysis, rapid hotfixes, Datadog-based monitoring, and a Three.js calibration tool plus large regression test suite to de-risk live deployments.”
CLEVELAND DEAR
Senior Game Designer specializing in systems, progression, live ops, and AI
“Level designer/gameplay systems designer who shipped on Squid Game Unleashed, taking ownership of bot navigation and a dynamic bot-profile system to keep matches flowing and bots feeling human via telemetry-driven tuning (Tableau/heatmaps). Also built a lightweight minigame variant/rules framework to rapidly ship fresh live-service content with minimal engineering/art overhead, and has live-ops economy/event design experience from MyVegas Bingo.”
Lizhuoyuan Wan
Junior Game Designer/Unity Developer specializing in systems and combat design
“MMORPG numerical/economy designer who built and tuned a dual-currency system (gold/agate), progression gates, and late-game sinks using quantitative models (including exponential curves) and telemetry segmentation by player level/assets. Implemented engagement drivers like roguelike repeatable dungeons and weekly leaderboard rewards, and partnered cross-functionally to resolve economy risks such as item tradability to keep outputs stable and controllable.”
Qice Sun
Junior GenAI Software Engineer specializing in multimodal RAG and agentic workflows
“AI/LLM engineer with production experience building a multimodal RAG agent for Walmart driver support, combining hybrid retrieval (dense+BM25) and fine-tuned Llama 3 served via vLLM on Azure AKS to reach sub-second latency. Drove measurable impact (25% fewer escalations, 60% lower token costs, 33% lower storage costs) and also built Kafka-based microservices that cut batch runtime from 2 hours to 15 minutes and reduced DB load by 80%.”
Biswajit Dash
Senior Platform/DevOps Engineer specializing in CI/CD and Observability
“DevOps engineer focused on CI/CD who built and productionized LLM/MCP-based chat agents integrated into Cisco Webex to help developers troubleshoot PRs and pipelines via GitHub/Jenkins data. Strong in operationalizing agentic systems with observability (OpenTelemetry/Grafana), user-scoped rate limiting, and Kubernetes-based scaling, and has presented demos on agent SDK capabilities and DORA metrics dashboards.”
Sarthak Vinayaka
Mid-Level Full-Stack Software Engineer specializing in enterprise AI, data pipelines, and scalable APIs
“Forward-deployed engineer/tech lead who built an end-to-end demand planning and forecasting application for a major US steel manufacturer, integrating Snowflake data into the C3 platform with batch/MapReduce workflows, monitoring, and a React/TypeScript UI. Also productionized an enterprise LLM integration with structured outputs and authorization guardrails, reporting +30% stakeholder engagement and broad adoption across customer deployments.”
Sai Naveen Masadi
Senior .NET Full-Stack Developer specializing in cloud-native enterprise apps
“Full-stack TypeScript engineer who built and operated a production order/inventory platform (React + NestJS/Node + PostgreSQL) with Redis and RabbitMQ for performance and background workflows. Emphasizes correctness in production via idempotency, retries/backoff, DLQs, and observability, and has also delivered external-facing REST APIs (Swagger, versioning, JWT/RBAC) plus resilient checkout browser automations using Playwright/Puppeteer.”
Cuichan Wu
Junior Full-Stack Software Engineer specializing in scalable, AI-powered web apps
“Frontend-leaning engineer with production React experience and hands-on Next.js App Router patterns (Server/Client Components, Route Handlers, caching/revalidate decisions). Has built internal sales dashboards and optimized both React UI performance and SQL Server-backed analytics queries, and previously created an onboarding framework at Adobe that evolved into a configurable, multi-team reusable platform in a lean environment.”
Sushma Mangalampati
Mid-level Data Engineer specializing in lakehouse ETL and analytics engineering
“Data engineer with strong end-to-end ownership of production lakehouse pipelines (Snowflake + Databricks + Airflow + dbt + Great Expectations), handling 8M+ records/month and 500K+ daily CDC updates. Delivered measurable reliability and efficiency gains (41% cost reduction, freshness improved from 4h to 30m, 35% fewer downstream incidents) and has experience building a lakehouse platform from scratch across 12 source systems.”
Kyle Jordan
Director-level Global Talent Acquisition leader specializing in scaling teams and executive hiring
“Full-desk recruiter who has led both GTM and technical hiring, including a rapid India expansion in 2024 that grew to 100 employees within a year. Recently redesigned sales hiring for a new SaaS hunter model—sourcing via LinkedIn Recruiter/Boolean and hiring 4 reps across two regions in two months—while running a tight stakeholder cadence using Greenhouse scorecards and Slack.”
Barbara Christina Cruze
Senior Business Analytics Consultant specializing in BI, data engineering, and predictive analytics
“Healthcare analytics candidate with hands-on experience turning messy claims, enrollment, and reference data into trusted SQL reporting layers and reproducible Python workflows. They emphasize metric standardization, stakeholder alignment, and operational impact, including ~40% reduction in manual reporting effort and improved forecasting/resource prioritization through high-risk patient segmentation.”
Meghana Madi
Mid-level Product & UI/UX Designer specializing in AI, cybersecurity, and SaaS
“Product/UI-UX designer with hands-on experience owning end-to-end web and e-commerce flows, from problem discovery and information architecture through Figma design and implementation support. They stand out for translating rough concepts into production-ready, scalable interfaces with reusable components, polished interaction states, and measurable usability improvements.”
Kiyan Ng
Senior Performance Marketing Manager specializing in paid search and demand generation
“Performance marketer with experience managing very large paid media budgets ($500K-$2M/month) across Google, Bing, and programmatic. They combine hands-on account restructuring and testing with cross-functional growth work, citing a 51% lift in conversions and 24% lower CPA, plus recovery work on a challenged AncestryDNA non-brand search program through landing page, promotion, and affiliate strategy.”
Lahari Nandigani
Mid-level Business Analyst specializing in healthcare and retail analytics
“Analytics professional with experience across retail and healthcare, including Kroger and CVS Health. They have built SQL and Python workflows to clean and operationalize messy data, and have owned patient adherence/retention analytics projects that informed targeted interventions and improved refill and retention reporting.”
Naincy Chovatiya
Mid-level Sales Operations Analyst specializing in revenue operations and analytics
Mohamed Hamidi
Mid-level Software Engineer specializing in payments and FinTech
“Backend engineer with strong payments and high-stakes transaction experience, including owning an Apple Pay/Google Pay integration via Stripe end-to-end in production for 100,000+ users. Particularly compelling for teams that need someone who can balance speed, security, and reliability in checkout or other sensitive backend workflows, and who has hands-on incident ownership in production.”
Venkata Revanth Vardineni
Entry-level Software Developer specializing in full-stack and AI systems
“Currently at Berryble AI, this candidate is building an LLM-based real-time interview analysis engine using FastAPI, WebSockets, fine-tuned models, and GCP/Cloud Run. They stand out for using AI and agent workflows pragmatically to accelerate development while keeping human ownership over architecture, security, reliability, and maintainability, and they are also pursuing a master's in applied machine learning.”
Hari Shankar Raghuraman
Mid-level AI/ML Engineer specializing in scalable ML, NLP, and MLOps
“ML/AI engineer with strong production depth across classical ML, MLOps, LLM/RAG, and scalable Python data platforms, with experience at Cisco and Accenture. Stands out for tying technical decisions to measurable business outcomes, including $1.2M annual savings, 40% faster support resolution, and broad internal adoption of shared engineering frameworks.”
Akhil Nakka
Mid-level Software Developer specializing in FinTech and cloud-native microservices
“Full Stack Engineer in fintech (JPMorgan) who owns products end-to-end across React UIs and Spring Boot/Kafka backends, with a strong track record of shipping quickly while maintaining reliability via testing, monitoring, and feature flags. Has hands-on experience scaling microservices for high-volume transactions and debugging production latency using ELK/CloudWatch, plus built an internal Python/Flask automation tool adopted by backend engineers to speed API validation and debugging.”
Shreyas Bhoyar
Junior Software Engineer specializing in backend systems and AI-powered platforms
“Built production-scale dashboards and real-time data systems across fintech and autonomous driving, with hands-on ownership from React frontend architecture through Python/Kafka/Elasticsearch backend pipelines. At Zoox, led development of an automated safety signal attribution platform that replaced manual engineering calculations and surfaced trends through dashboards.”
venu madhav
Mid-level AI/ML Engineer specializing in Generative AI and MLOps
“AI engineer and current tech lead building a RAG-based multi-agent QA platform for financial document analysis at significant scale (40,000-50,000 documents). They combine Python, CrewAI, FastAPI, Hugging Face embeddings, Pinecone, and AWS SageMaker to deliver retrieval, calculation, summarization, forecasting, and visualization workflows, while leading a small cross-functional team.”
Veda Shruthi Kunjithapatham
Mid Software Engineer specializing in cloud-native healthcare and security systems
“Frontend engineer with Oracle Cerner experience building healthcare operations UIs where accuracy, compliance, and workflow efficiency matter. They’ve owned a sophisticated React-based patient record validation and merge interface and also show solid performance instincts through render optimization, state management, and TypeScript-based API modeling.”