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Vetted Jira Professionals

Pre-screened and vetted.

JiraPythonGitAgileCI/CDDocker
DT

Darshan Togadiya

Screened

Mid-level Full-Stack Engineer specializing in cloud-native web apps

Rancho Cucamonga, CA5y exp
MicroNOCCalifornia State University, San Bernardino

“Full-stack engineer in an early-stage startup who built an EV charger monitoring and payments dashboard from scratch, owning UI/UX (Figma), React frontend, Node/Postgres APIs, and production deployment/ops (Firebase + AWS). Demonstrated measurable impact (40% fewer reconciliation errors) and strong reliability chops through multi-source energy/payment ingestion, idempotent pipelines, and CloudWatch-driven incident resolution.”

ReactNode.jsTypeScriptAWSKubernetesVue.js+113
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EM

Eoin McDonnell

Screened

Staff Python Backend Engineer specializing in cloud-native APIs and microservices

Lexington, Kentucky17y exp
Awesome IncNorthern Kentucky University

“Backend/data engineer focused on production Python and AWS: built FastAPI REST services and a containerized ECS Fargate + Lambda architecture deployed via Terraform/CI-CD. Strong in data engineering (Glue/S3/Parquet/RDS) and operational reliability (CloudWatch/SNS, retries, schema-evolution handling), with experience modernizing legacy SAS reporting into Python microservices using feature flags and parity validation.”

AgileAmazon EC2Amazon S3API DesignAuthenticationAuthorization+175
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AA

Abinav Anantharaman

Screened

Mid-level Robotics Software Engineer specializing in perception, sensor fusion, and motion planning

Boston, MA8y exp
Berkshire GreyNortheastern University

“Robotics/Perception Software Engineer at Berkshire Grey who built and hardened a production ROS-based perception + supervision stack for autonomous trailer-unloading robots (RGB-D + LiDAR), including grasp/geometry estimation and segmentation. Diagnosed real-time behavior issues by instrumenting ROS pipelines, then implemented runtime RANSAC-based compensation for LiDAR yaw bias and TF-window validation; also supports containerized deployment on Kubernetes and is actively porting the system from ROS1 to ROS2.”

PythonC++C#GazeboMATLABGit+125
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JV

Joseph VanKlaveren

Screened

Senior Performance Marketing Leader specializing in high-spend paid media

Remote20y exp
NetAktionWashington State University

“Performance marketing specialist with hands-on ownership of $50K+/month spend on the AdOn Network at RhythmOne, focused on driving new-user growth and on-site engagement. Known for rigorous, variable-isolated testing across keywords, placements, and ad copy, plus clear client reporting tied to engagement and efficiency metrics.”

Data AnalysisGoogle AdsGoogle AnalyticsMicrosoft ExcelData ModelingAsana+78
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BG

Bhavana Gaddam

Screened

Mid-Level Full-Stack Software Engineer specializing in cloud microservices and data engineering

TX, USA4y exp
CVS HealthSouthern Arkansas University

“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.”

PythonJavaCSpring BootNode.jsReact+72
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LP

Leonard Payne

Screened

Senior Performance Marketing Leader specializing in paid media, lifecycle/CRM, and analytics

Detroit, MI23y exp
OneMagnifyWayne State University

“Performance marketer managing high-spend, multi-platform paid media for major brands (e.g., Navistar, Buick), with end-to-end ownership from strategy to reporting. Uses multivariate testing and trend-based budget reallocations to drive measurable lifts (27–60% KPI improvements) and significant outperformance (2.8x vs forecast), and has experience removing conversion friction by replacing lead forms with landing page + chat-based flows.”

CRMGoogle AdsGoogle AnalyticsAdobe Creative SuiteA/B testingGo-to-market strategy+97
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MP

Manali Patil

Screened

Senior Software Engineer & Engineering Manager specializing in cloud backend and manufacturing MES

Santa Clara, CA9y exp
Halo IndustriesUniversity of San Francisco

“Customer-facing engineer who led recurring midnight ERP data-feed/B2B integrations from prototype to production, building reusable APIs and using Hangfire for job scheduling. Known for tight weekly customer iteration, strong documentation and test coverage (80%+), and cross-functional problem-solving with Operations/Quality/NPI to resolve data-collection and manufacturing-process constraints; has 2 customers live on the integration.”

Apache SparkApache TomcatAWSAWS IAMAWS LambdaC#+107
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AP

Aleksandar Petrushevski

Screened

Senior Unity Developer specializing in mobile, VR, and AR games

Remote7y exp
212 GamesFaculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje

“Unity/C# developer focused on Meta Quest VR simulations and indie game development; built a factory onboarding VR experience largely solo, including modular scenario orchestration, interaction systems, and branching NPC dialogue. Also created multiple Unity games in the last year and built reusable internal packages (game management + UI/screens), while using an AI-driven pipeline for rapid prototyping and 3D asset generation.”

UnityC#BlenderAndroidiOSNetworking+143
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OR

Oleksandr Ruban

Screened

Senior Unity 3D Developer specializing in mobile games, AR/VR, and architecture

Warsaw, Poland11y exp
Moon ActiveOdesa I. I. Mechnikov National University

“Unity gameplay engineer with experience across multiple genres (city builders, match-3, RTS) including implementing an open-world isometric fog-of-war system optimized via chunking and multithreading. Has shipped multiplayer features using Photon/UNet and has dealt with real-time synchronization/ownership conflicts, and also applies AI automation to speed up code reviews and improve Jira/merge request workflows.”

UnityC#MySQLPostgreSQLSQLGit+77
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BY

Billy Y

Screened

Junior Software Engineer specializing in Full-Stack and GenAI/LLM applications

San Jose, CA2y exp
ZymebalanzBoston University

“LLM/RAG practitioner building clinician-facing AI search and Q&A inside EHR workflows, focused on trust, latency, and safety (grounded answers with citations, PHI controls, encryption/audit logs). Demonstrated real-time incident response for production LLM systems (e.g., fixing a metadata-filter deployment regression to prevent irrelevant results/cross-patient leakage) and strong demo/enablement skills for mixed technical and clinical stakeholders; also shipped a multi-model RAG tool at OrbeX Labs with upload/search/audit features for day-to-day adoption.”

PythonC++JavaCHTMLJavaScript+174
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CS

Cristian Smochina

Screened

Senior Unity Game Developer specializing in mobile and multiplayer games

Remote21y exp
NurtureRomanian-American University

“Unity game developer with hands-on experience balancing "natural" physics feel with controlled outcomes in a Plinko-style game, plus multiplayer networking work using Photon (Fusion prototype and PUN) including bots and host migration. Also builds custom Unity editor tools to automate ScriptableObject workflows and to trace event/variable usage across scenes with direct navigation to components and code.”

UnityC#CC++JavaAzure Functions+56
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JM

Juan Mendez

Screened

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

12y exp
AMX Inspired SignageUniversity of Alicante

“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.”

AgileAndroidCC#C++Eclipse+49
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PM

Pooja Miryala

Screened

Mid-level AI/ML Engineer specializing in NLP, LLMs, and RAG for banking and healthcare

Ohio, USA4y exp
Fifth Third BankYoungstown State University

“Deployed a real-time LLM-driven call center summarization and agent-assist platform at Fifth Third Bank, combining transformer models (BERT/GPT) with FastAPI inference on AKS and vector storage (ChromaDB/PostgreSQL). Emphasizes production-grade reliability (autoscaling, CI/CD, monitoring) and measurable evaluation (A/B testing), and translates model outputs into business-facing Power BI insights for call center leadership.”

A/B TestingAgileAmazon ECSAmazon EMRAmazon SageMakerAmazon S3+123
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AG

Aravind Gudipudi

Screened

Mid-level AI/ML Engineer specializing in MLOps and cloud-deployed ML systems

Austin, TX3y exp
PurevisitxUniversity of Illinois Springfield

“ML/AI engineer who built and productionized an NLP system at PurevisitX, orchestrating end-to-end ML workflows with Airflow (S3 ingestion through auto-retraining) and optimizing for drift and low-latency inference. Also partnered with Citibank risk teams on a fraud detection model, translating results via dashboards and iterating thresholds based on stakeholder feedback.”

A/B TestingAgileApache AirflowAWSAWS GlueAWS Lambda+93
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MS

Manoj Suggala

Screened

Mid-level Software Engineer specializing in cloud-native microservices for FinTech and Insurance

Texas, USA3y exp
AIGGeorge Mason University

“Backend engineer who owned an order management API built with Python/FastAPI and PostgreSQL, integrating payment and shipping providers with strong reliability patterns (idempotency, async workers, retries/backoff, circuit breakers). Experienced deploying services to Kubernetes using a GitOps model with ArgoCD (auto-sync, self-healing, pruning, rollbacks) and building high-volume Kafka streaming pipelines. Has also supported phased cloud-to-on-prem migrations with a focus on security monitoring/SIEM log continuity.”

AgileAngularJSAWS CloudFormationAzure FunctionsC#CI/CD+189
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DP

Daanesh Potnuri

Screened

Mid-Level Full-Stack Engineer specializing in API-driven microservices and cloud delivery

5y exp
World Disaster CenterPenn State University

“Software engineer with hands-on experience building a decentralized file-sharing dApp, bridging a React frontend with Ethereum smart contracts via Web3.js and integrating IPFS for decentralized storage. Demonstrates a rigorous, measurement-driven approach to performance optimization (profiling + benchmark/regression loop) and strong ownership in high-stakes environments, including Fircosoft sanctions platform optimization and rapid production hotfixes for user-impacting issues.”

JavaPythonTypeScriptJavaScriptSQLHTML+124
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VS

Vijay Sai Kumar Katupilla

Screened

Mid-level Full-Stack Software Developer specializing in cloud-native microservices

WI, USA5y exp
HCLTechWright State University

“Product-focused full-stack engineer (Spring Boot/Django + React/TypeScript) with deep experience building multi-tenant, enterprise workflow and supply-chain/order-tracking systems. Owned an end-to-end Workflow SLA Breach Prediction & Alerting feature integrating Azure ML for a cloud workflow platform used by ~10,000 enterprise users, and has hands-on AWS operations experience resolving real production latency/scaling incidents via query optimization and Redis caching.”

AgileAlertingAmazon DynamoDBAmazon EC2Amazon EKSAmazon S3+223
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PK

Pavithra Kandavel

Screened

Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices and data analytics

Oklahoma City, USA5y exp
Wells FargoOklahoma City University

“Software engineer with experience at Wipro Technologies and Wells Fargo building React-based SPAs, reusable component libraries, and developer documentation. Demonstrated strong performance engineering (React.memo, list virtualization, code splitting) with reported >50% rendering-time improvement, plus hands-on production support by diagnosing API outages via monitoring/logs and implementing traffic/server fixes. Comfortable leading workstreams in fast-changing environments using Kanban and tight stakeholder feedback loops.”

JavaPythonTypeScriptJavaScriptSQLAngular+144
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MV

Manish Vemula

Screened

Mid-level Machine Learning Engineer specializing in real-time pipelines and NLP/GenAI

TX, USA4y exp
DiscoverCentral Michigan University

“ML/MLOps practitioner from Discover Financial who built and deployed a real-time AI fraud detection platform (LSTM + VAE) on AWS SageMaker with Docker/FastAPI and Jenkins-driven CI/CD. Demonstrated measurable impact (30% accuracy lift, 25% fewer false alerts) and deep expertise in class-imbalance mitigation, drift monitoring, and orchestration (Airflow/Kubeflow), plus strong stakeholder adoption via Power BI dashboards for fraud/compliance teams.”

AgileAnomaly DetectionAPI IntegrationAWS LambdaAzure Machine LearningCI/CD+101
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SG

Sambhavi Gajula

Screened

Mid-level Full-Stack Software Engineer specializing in cloud-native systems and identity verification

Jersey City, NJ4y exp
Charles SchwabLong Island University Brooklyn

“Full-stack developer with strong cloud/on-prem focus (AWS, VPC networking) who has improved production reliability by bringing manually created IAM/security group resources under Terraform and standardizing environments. Demonstrated end-to-end troubleshooting across app + infrastructure + networking (traffic capture revealed proxy response truncation) and delivered Python-based monitoring/reporting enhancements that improved ops visibility and turnaround.”

PythonJavaTypeScriptSQLBashReact Native+128
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BP

bayu putra

Screened

Senior QA Lead specializing in console certification and compliance for video games

Yogyakarta, Indonesia16y exp
GameloftUniversitas Pembangunan Nasional "Veteran" Yogyakarta

“Console game certification-focused QA tester with strong PlayStation (PS4/PS5) TRC experience and solid Nintendo LOT check exposure, including NDI and Nintendo Developer Center submission tracking. Works deadline-driven submissions using prioritized templates/checklists and leverages internal AI tools for reporting, documentation lookup, and certification risk/go-no-go recommendations.”

MentoringFunctional TestingRegression TestingTest PlanningTest Case DesignA/B Testing+67
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TW

Tejaswini Waghmare

Screened

Senior Data Analytics & Data Science professional specializing in Financial Services

4y exp
InfosysGeorgia State University

“Worked on large financial analytics datasets combining complaint text, transaction logs, and demographics; built end-to-end NLP/ML pipelines (TF-IDF + Random Forest) and data integration in BigQuery with Tableau reporting, citing ~95–98% accuracy. Also implemented entity resolution with fuzzy matching and semantic linking using BERT sentence-transformer embeddings stored in FAISS, including fine-tuning on labeled pairs to improve search/linking relevance.”

SQLXMLMySQLPythonRBigQuery+109
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AG

Angad Gunbharit

Screened

Senior Solutions Architect specializing in API-driven SaaS and cloud integrations

Philadelphia, PA5y exp
PhenomUniversity of San Francisco

“Customer-facing technical professional with experience spanning engineering and product who advises on application security tradeoffs (threat modeling, API/auth risks, SOC2 mapping) and drives pragmatic remediation plans. Hands-on with Kubernetes/CI-CD agent integrations, secrets management, and log-driven troubleshooting; documented and escalated complex customer environment issues and reported a 40% reduction in bug reporting through workflow automation.”

JavaAngularSQLPower BIPostgreSQLMicrosoft Excel+74
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RS

Raahul Sallagunta

Screened

Mid-level Software Engineer specializing in backend, full-stack, and LLM-powered healthcare systems

Redmond, WA4y exp
CVS HealthUniversity at Buffalo

“Application-focused full-stack engineer in the clinical/health domain who shipped an LLM-powered clinical note summarization workflow end-to-end (FastAPI + Postgres + Kafka workers + React/TypeScript UI) with strong attention to security, auditability, and clinician trust. Has hands-on AWS/EKS operations experience and has resolved real production latency/scaling issues through async processing, query/index tuning, caching, and horizontal scaling.”

JavaPythonTypeScriptJavaScriptSQL.NET+130
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