Vetted Jira Professionals

Babita Aswani

Screened

Senior Customer Success Operations Manager specializing in B2B SaaS and AdTech

Fremont, CA9y exp

“Customer success / operations professional from PubMatic (ad tech) focused on onboarding and growing enterprise publisher accounts. Leverages analytics tooling (Looker/Tableau) and monetization KPIs (fill rate, eCPM) to drive adoption, retention, and expansion, including a reported ~30% usage lift over six months and cross-functional A/B-tested product changes that increased revenue.”

Ranganayak Meravath

Screened

Mid-level Generative AI Engineer specializing in RAG, agentic copilots, and regulated AI

5y exp

“Senior engineer who built and productionized an Azure-based Enterprise AI Copilot for financial/compliance teams, focused on grounded, auditable answers with citations to reduce hallucinations in regulated workflows. Experienced designing multi-step agent orchestration and improving reliability through targeted iterations (e.g., fixing chunking/parsing to materially improve citation accuracy), plus building defensive pipelines for messy ERP/operational finance data.”

Thirumalaesh Ashokkumar

Screened

Mid-level Robotics Engineer specializing in SLAM, perception, and state estimation

4y exp

“Robotics software lead with 4+ years of ROS/ROS2 experience spanning a startup (Inductive Robotics) and General Motors, building autonomous mobile manipulation and AMR material-handling stacks. Has hands-on depth in SLAM/navigation (Cartographer/Nav2), perception, and simulation, and has directly modified Cartographer to handle real-world sensor dropouts. Currently working on fleet-scale mapping capabilities (map merging/editing, trajectory pruning) for multi-robot deployments.”

“Full-stack engineer with experience spanning Amazon IMDb and Northeastern’s NeuroJSON portal, combining consumer product work with complex scientific data applications. Built IMDb’s streaming providers feature—described as the company’s most impactful feature of 2023—and has hands-on experience with React/Angular, GraphQL, AWS, Python services, and production monitoring.”

“Design-technologist with both UX and front-end development depth, spanning high-impact brand launches and regulated pharma sales tools. Led the experience direction and technical implementation support for DuPont's Kevlar product site—featuring Three.js, AEM, and advanced motion design—which generated strong lead capture and won an Effie, and also improved Eli Lilly IVA delivery by building a grunt.js workflow that reduced update cycles from a week to just a few days.”

“Product leader with experience at Amazon and Temenos, focused on AI-powered consumer experiences at scale. They led critical Alexa+ launches, including the first Suno music-generation integration on Alexa, combining strong UX instincts, LLM quality frameworks, and partner negotiation to unblock launches and drive major engagement gains. They also bring people leadership and a thoughtful human-in-the-loop perspective on AI, especially across multilingual and culturally nuanced markets.”

Aakash Khepar

Screened

Mid-level Full-Stack AI Engineer specializing in agentic AI systems

Tempe, AZ4y exp

“Full-stack engineer with strong ownership across production SaaS and AI agent systems, including a multi-tenant enterprise analytics product at Fractal Analytics and an archive intelligence platform for a real nonprofit. Stands out for combining deep backend/system design, secure AI/RAG implementation, and rapid zero-to-one execution—plus multiple hackathon wins and leadership roles.”

“Full-stack engineer with 5+ years of experience who built real-time data visualization and analytics systems at Uber, spanning React/TypeScript frontends, Node/GraphQL services, Kafka pipelines, and PostgreSQL. Particularly compelling for teams needing a hands-on builder who can turn ambiguous customer needs into scalable products, and who has also applied RAG with LangChain/OpenAI over 1.8M support files to surface actionable insights.”

“Product leader with experience at Chegg building student-focused education products, including an ebook subscription launched in response to Amazon competition that helped drive major digital growth. Also led integration of AI/ML capabilities for question classification and personalized learning workflows, with a strong emphasis on accuracy, affordability, and acting on student feedback.”

“GE leader with 10 years of experience spanning software development, internal audit/consulting, and Chief of Staff leadership in GE Digital. Stood out by operating as the cross-functional execution engine for a $100M software business, driving measurable outcomes including $2.5M in AWS savings, 20% defect reduction, and $4M in audit adjustments. Combines executive-level strategy, analytical rigor, and hands-on change management across engineering, finance, legal, and security.”

“Software engineer with 5+ years of experience building and scaling high-traffic web systems, including e-commerce-style purchasing/reservation flows and broker back-office platforms. He has hands-on experience across Next.js front ends, Python integrations, Go load-testing tools, and MySQL/Redis-backed architectures, with notable exposure to financial reporting, MT5 integrations, and commission logic.”

Melbourne Brown

Screened

Senior Software Engineer specializing in AI-driven cloud-native platforms

Atlanta, GA12y exp

“Engineer with unusual breadth: from a tiny startup building racehorse medical-record systems on credit-card chips for live racetrack demos to modern AI-powered contract intelligence platforms in production. Brings hands-on full-stack and backend depth across React, Python, .NET, PostgreSQL, Kubernetes, and Azure, with a track record of making complex, reliability-sensitive systems work in real-world conditions.”

“Built and deployed a production healthcare medical review agent that automates call-transcript summarization and medication reconciliation using a hybrid deterministic + LangGraph-orchestrated LLM workflow. Demonstrates strong reliability engineering (guardrails, schema validation, confidence thresholds, golden/adversarial eval, Langfuse monitoring) in a regulated environment, delivering 60% lower latency and 70%+ efficiency gains while partnering closely with care managers and operations.”

“Full-stack engineer (~4 years) who has owned and shipped customer-facing SaaS onboarding and a role-based real-time analytics dashboard using TypeScript/React with a modular backend. Experienced in microservices with RabbitMQ and strong observability practices (correlation IDs, structured logging, queue metrics), and built an internal deployment tracker integrated with CI/CD that replaced manual spreadsheet/Slack processes.”

“Backend engineer focused on cloud/distributed systems, deploying Java 17/Spring Boot microservices on AWS EKS with RDS and Kafka. Demonstrated strong production readiness work (DB lock mitigation, Kafka idempotency, gradual rollouts) and delivered a major latency improvement (~400ms to ~100ms). Also has proven cross-layer troubleshooting skills, isolating intermittent API timeouts to a specific Kubernetes node’s network interface issue, and partners closely with ops teams to build dashboards and workflow automation (including Python scripts).”

“ML/LLM practitioner with production experience building a healthcare review sentiment pipeline (RateMDs) using Hugging Face Transformers plus a LangChain+FAISS RAG layer for interactive querying. Also led orchestration-driven optimization of Nike’s Fusion ETL pipeline, improving runtime efficiency by 20%, and has experience translating ML outputs into Tableau dashboards for non-technical healthcare stakeholders (e.g., readmission risk).”

“Worked on payments and wallet transactions, with an emphasis on observability and root-cause analysis. Delivered end-to-end A/B testing optimization and implemented Jenkins-based CI/CD automation that reduced manual implementation to 35% and cut deployments to ~2 minutes, with attention to operational considerations like on-call/call rotations.”

“World of Warcraft quest designer who owned end-to-end quest pipelines and shipped standout content, including the memorable escort/stealth quest “Klaskin’s Great Escape” tuned through playtests and a Dragonflight capstone framing story that drove higher side-quest engagement. Experienced in Lua scripting, reward/economy balancing, and building daily/weekly endgame loops (Beetle Ranch/Rak-Ush), with recent UE5 Avalanche node-based VFX prototyping exposure.”

“Player-coach engineering leader focused on consumer-grade video/multimodal products and high-reliability identity/auth experiences. Led design and implementation of multi-step mobile login/MFA flows with telemetry-driven funnel improvements, shipped Node services and security fixes, and owned auth incidents end-to-end using RUM and step-level instrumentation. Introduced feature-flagged delivery and targeted review/testing practices to speed iteration ~20–30% while keeping login stability high.”

“Senior data engineer with experience in both healthcare (CVS Health) and financial services (Bank of America), building large-scale Azure lakehouse pipelines (30+ EHR sources, ~5TB) and real-time streaming services (Event Hubs/Kafka) for patient vitals. Strong focus on reliability and data quality (Great Expectations, monitoring/alerting, schema drift automation), with measurable outcomes like 50% runtime reduction and 99%+ uptime for regulatory reporting pipelines.”

“Game QA Lead/embedded QA with live production experience supporting a public alpha, owning narrative/early-game content quality and quest progression stability. Known for driving rapid resolution of high-impact blockers via consistent repros, cross-discipline coordination, and data-backed reporting (including bot-based success/failure measurement), while maintaining sprint-aligned test plans and documentation in JIRA/Confluence and leading developer playtests for gameplay feel/polish.”

“Data/Backend engineer with experience at Naukri building large-scale analytics products over a 130M+ user base, including Spark/Airflow pipelines and Kafka-based clickstream validation with Confluent Schema Registry. Also built an audience segmentation backend (Athena/S3 + Spring Boot APIs) for non-technical internal teams and recently shipped a GenAI customer data audit system (FastAPI/Postgres/Llama) that cut sales-planning validation from ~3 months to ~1 week.”

“Full-stack engineer and KICKOFFUSA cofounder who built production payment/registration and live tournament experiences under real matchday load (200+ concurrent users), including Stripe webhooks with idempotency and UX improvements that cut checkout abandonment ~15%. Also owned an end-to-end research hub at a GTSCL internship—designed a normalized Postgres schema and full-text search (tsvector/GIN) delivering sub-100ms queries for 300+ researchers.”

Mark Krawczuk

Screened

Senior Program & Project Leader specializing in digital transformation and cross-functional delivery

New York, NY30y exp

“Cross-functional operator with experience at Rippling and Twitter, known for building lightweight but rigorous communication and reporting systems (shared notes, weekly updates, exec decks, issue-tracker velocity) to keep teams and executives aligned. Emphasizes psychological safety and early conflict resolution, and has supported senior leaders managing high-volume creative/media output through concise, proactive executive briefings.”