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Vetted ServiceNow Professionals

Pre-screened and vetted.

ServiceNowPythonAWSDockerCI/CDJira
NC

Naga Chimkaurthi

Senior QA/Test Lead specializing in enterprise commerce platforms and order-to-cash automation

Durham, USA18y exp
Cisco
AgileAPI TestingAWSAzure DevOpsBitbucketC+138
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PK

Pavan Kalyan

Screened

Mid-level AI Engineer specializing in GenAI agents and RAG for IT operations

4y exp
DeloitteUniversity of North Texas

“Built and operates a production LLM agent for enterprise IT operations that triages and drafts resolutions for high-volume ServiceNow tickets using LangChain + RAG (Pinecone/pgvector) and AWS Bedrock/OpenAI. Emphasizes reliability with schema-validated stages, offline eval datasets from real tickets, and CloudWatch-driven monitoring/guardrails; system scales to 40K+ tickets/month and cut resolution time ~28%.”

PythonSQLJavaScriptGenerative AIMachine LearningOpenAI API+89
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EK

Edem Kporha

Screened ReferencesStrong rec.

Senior Technical Support/Systems Engineer specializing in secure enterprise operations

Riverside, CA9y exp
Virtuous Automotive GroupValley View University

“AppSec-focused engineer with experience supporting federal case management platforms at Armedia (SAST/DAST/SCA, threat modeling, injection remediation) and leading production troubleshooting for Ecobank’s virtual card service across 33 African affiliates. Known for using deep log/SQL/trace analysis to pinpoint TLS and query issues, documenting clear repro evidence, and driving measurable outcomes like eliminating recurring SQL vulnerabilities and stabilizing activation success rates.”

AutomationBashComplianceContainerizationDevOpsDocumentation+126
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SY

Sandhya Yadavalli

Screened

Mid-level Cybersecurity Analyst specializing in SIEM, incident response, and Zero Trust

Remote, USA3y exp
BigCommerceYeshiva University

“Cybersecurity/SOC-focused engineer with hands-on production experience integrating and tuning Splunk Enterprise Security for a zero-trust program, including CIM normalization, correlation/risk-based detection tuning, and performance optimization via forwarder-level filtering and index strategy. Has cross-disciplinary incident troubleshooting experience spanning SIEM, networking, and hardware, and has automated customer/team-specific security workflows using Python in Splunk playbooks; collaborated on-site with HSBC IT/SOC teams to deliver dashboards and security policies.”

Incident ResponseComplianceAnomaly DetectionStatistical AnalysisDashboardingREST APIs+145
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LD

Lew Donley

Screened ReferencesStrong rec.

Senior Creative Design & Innovation Leader specializing in brand strategy and human-centered design

Normal, IL18y exp
TriMasIllinois State University

“Creative director/designer spanning high-polish marketing brand work and enterprise innovation: built a full podcast brand ecosystem and a cinematic historical visualization using Google Veo 3. Also led an AR/VR-assisted remote troubleshooting initiative at TriMas (HoloLens-style workflows), delivering a 40% MTTR reduction and cutting expert travel by 50%+ while standardizing reusable interaction components for global teams.”

Design SystemsGraphic DesignUI/UX DesignPrototypingProgram ManagementMarket Research+115
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SD

Sravanti Dandu

Screened

Mid-level Cloud Engineer specializing in AWS & Azure infrastructure automation

Arizona, USA6y exp
American ExpressNorthern Arizona University

“Backend/platform engineer (American Express) who built a Flask-based orchestration layer to automate infrastructure provisioning and integrated Azure AD/JWT RBAC security. Strong in PostgreSQL/SQLAlchemy performance optimization (70%+ query-time reduction) and scalable async/event-driven architectures, including ML inference pipelines (SageMaker/Azure ML/Hugging Face) and high-throughput job queues (Celery/Redis) with reliability patterns like DLQs and idempotency.”

Amazon API GatewayAmazon CloudFrontAmazon CloudWatchAmazon DynamoDBAmazon EC2Amazon ECS+183
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AK

AnilKumar Kanakadandila

Screened

Mid-level Data & AI Engineer specializing in data engineering, analytics, and LLM/RAG apps

San Francisco Bay Area, CA5y exp
VerizonCalifornia State University

“Built a production RAG-based “unified assistant” that consolidates siloed company documents into a single chatbot while enforcing fine-grained access control via RBAC/metadata filtering with OAuth2/JWT. Experienced orchestrating LLM workflows with LangChain/LangGraph + FastAPI (async + caching) and measuring performance via retrieval accuracy and response-time SLAs. Also delivered a churn analytics solution with dashboards and automated retention campaigns using n8n.”

PythonPandasNumPyScikit-learnSQLMySQL+105
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KC

Kalki Charan Kottapalli

Screened

Senior SaaS Partner Success & Solutions Consultant specializing in CRM/ITSM

7y exp
FreshworksNorthern Illinois University

“Customer-facing implementation/security-focused professional with experience at Freshworks and IMImobile (Cisco), advising enterprise customers on app security for CRM/ITSM and sensitive/PII workflows. Has led threat-model-driven remediation for API/RBAC/token risks and troubleshot complex cloud integration incidents (token expiry + load balancer misrouting) using logs/metrics/tracing, escalating with clear technical reports to accelerate engineering fixes.”

API IntegrationCRMData AnalysisData ModelingData VisualizationDatabase Design+82
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SR

Srikanth Reddy

Screened

Senior Cloud/DevOps Engineer specializing in Azure, Kubernetes, and Infrastructure as Code

Virginia, US5y exp
Electrify AmericaGeorge Mason University

“Azure cloud platform engineer with strong enterprise Linux operations background who designs multi-region HA/DR on Azure (and AWS) using Azure Site Recovery, Traffic Manager, AKS autoscaling, and geo-replicated Azure SQL. Built secure Azure DevOps CI/CD pipelines for .NET/Python microservices to AKS/VMs and provisions full environments via Terraform modules with remote state, drift checks, and staged rollouts; has not directly owned IBM Power/AIX at scale.”

AgileAmazon API GatewayAmazon CloudWatchAmazon DynamoDBAmazon EC2Amazon EKS+297
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PS

Priya Shah

Screened

Mid-level DevOps Engineer specializing in AWS cloud infrastructure and CI/CD automation

OH6y exp
ServiceNowSardar Patel University

“Backend/data engineer with production experience building a SaaS analytics platform: FastAPI-based microservices with Redis caching and reliability patterns (RBAC, retries/backoff, centralized error handling). Also delivered AWS data pipelines (Glue/PySpark to Redshift) and owned real production incidents using CloudWatch/SNS, plus hands-on PostgreSQL query tuning on multi-million-row reporting workloads.”

SDLCAgileDevOpsCI/CDGitGitHub+79
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HJ

Harshini Jaligama

Screened

Senior Full-Stack Java Developer specializing in cloud-native microservices and FinTech

Remote, USA5y exp
DXC TechnologyCal State Long Beach

“Full-stack engineer (5+ years with Java/Spring Boot and React) who has built and deployed AWS-based microservices platforms using Kafka for real-time rewards/promotions and large-scale telemetry analytics. Demonstrates hands-on scalability expertise (partitioning, consumer groups, durability/acks, idempotency) and production-minded delivery practices (CI/CD, Docker, testing, Swagger, monitoring).”

JavaScriptAngularjQueryReduxAJAXTypeScript+124
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SV

Sai Vamsi

Screened

Mid-Level Software Engineer specializing in backend microservices and cloud-native systems

TX, USA4y exp
ServiceNowUniversity of Arkansas at Little Rock

“ServiceNow engineer who built an AI-powered ticket summarizer end-to-end (RAG with vector DB + GPT, Redis latency optimizations, fallback summarization, and a React UI widget for agent feedback). Also has hands-on ROS 2 experience building real-time sensor-fusion nodes (LiDAR/IMU), debugging SLAM/navigation issues via rosbag + EKF tuning, and bridging heterogeneous robots by translating ROS 2 topics to MQTT/JSON. Strong DevOps background with Docker, Jenkins CI/CD, and Kubernetes orchestration for scalable deployments.”

JavaPythonJavaScriptReactAngularRedux+128
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SF

Sahachel Flores

Screened

Mid-Level Backend Software Engineer specializing in enterprise systems and applied AI/ML

Mountain View, CA6y exp
IBMUniversity of Arizona

“Support engineer with IBM DFSMS OAM experience who restored a production TS7770 environment during a TS7760→TS7700 migration by using logs, SLIP traps, and dump analysis to pinpoint an SMS configuration (SCDS) issue, then partnering with the customer to redo the migration successfully. Also built a personal agentic news selector system and emphasizes documentation improvements and customer education to prevent recurring incidents.”

PythonCC++SQLJavaScriptReact+74
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DS

Durdona Shovkatova

Screened

Mid-level Desktop Support Engineer specializing in endpoint, identity, and ITSM automation

Remote, USA3y exp
AtlassianUniversity of Exeter

“Enterprise IT operations and identity governance professional (Atlassian) who partners closely with security teams to reduce risk through RBAC/Conditional Access automation, endpoint compliance, and vulnerability remediation workflows. Demonstrated ability to balance strict security controls with engineering productivity via phased rollouts, pilots, and KPI-driven stakeholder alignment, plus hands-on troubleshooting of complex Azure AD authentication failures and secure AWS integration design.”

Change ManagementServiceNowConfluencemacOSLinuxNetworking+110
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AP

ASHWINKUMAR PACHIPALA

Screened

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

USA4y exp
Epic SystemsWebster University

“Full-stack Java developer with IBM and Epic Systems experience modernizing legacy enterprise apps into microservices and delivering customer-facing healthcare claims workflows at very high scale (2M+ transactions/day). Strong blend of product engineering (APIs + React/TypeScript UI) and production operations on AWS, including performance incident remediation via query optimization, indexing, and autoscaling.”

JavaPythonC#Spring BootSpring MVCFlask+136
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VM

Veera Mallipudi

Screened

Senior DevOps & Release Engineer specializing in CI/CD automation and AWS IaC

Raleigh, NC12y exp
VidmobUniversity of Central Missouri

“Infrastructure/DevOps engineer (Vidmob) focused on AWS + containers, owning GitLab CI/CD and Terraform-managed environments. Led a high-impact CI incident by correlating runner queue time, Docker pull latency, and NAT egress; implemented ECR pull-through caching and VPC endpoints to restore performance and then standardized the fix in Terraform for future scale-ups.”

ClaudeCI/CDGitLab CIJenkinsGitGitHub+168
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AN

Adarsh Nandal

Screened

Mid-Level Backend Software Engineer specializing in Java/Spring microservices and AWS

Nashua, NH4y exp
MastercardRivier University

“Backend-focused engineer with production experience building Spring Boot services for automated workflow and data-processing platforms, using queues plus retry and idempotency patterns. Also uses Python to automate data processing; emphasizes testing and peer review for maintainability.”

JavaPythonGoC++JavaScriptTypeScript+101
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SK

Sirisha Kondreddy

Screened

Senior Software Engineer specializing in Python automation and hybrid cloud integration

Remote, USA3y exp
JPMorgan ChaseHarrisburg University of Science and Technology

“Embodied AI / robotics-focused ML engineer with experience at JPMorgan and EY building language-to-robot control systems that connect transformer/LLM intent to safe real-world robotic actions. Designed production-grade, low-latency architectures (Kafka/Redis, monitoring, CI/CD) and applied sim-to-real and model distillation to make research ideas deployable on physical systems.”

PythonBashPowerShellHTMLJavaScriptAWS Lambda+142
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HC

Heather Cohen

Screened

Director-level HR Leader specializing in M&A integration, performance management, and HRIS

New York, NY27y exp
Forvis MazarsNYU

“HR/people leader with experience partnering directly with firm partners and C-suite leaders to drive culture and retention initiatives, including launching a Partner Connectivity Program to rebuild community during/after remote-pandemic work. Strong in people analytics (Workday/Aderant) and executive dashboards, and experienced handling complex employee relations cases and accommodations in collaboration with in-house counsel.”

Workforce PlanningPerformance ManagementServiceNowChange ManagementCoachingMentoring+95
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MS

Manali Shetye

Screened

Mid-level Applied AI & Data Engineer specializing in automation and enterprise analytics

Irving, Texas4y exp
Trend MicroUniversity of Texas at Arlington

“Backend engineer with experience evolving a high-volume agricultural loan processing platform (APMS) at HDFC Bank, emphasizing transactional integrity, auditability, and modularity while integrating with credit bureaus, document management, and risk engines. Also improved automation/reporting robustness at Trend Micro by catching duplicate-event retry edge cases and adding idempotency safeguards.”

PythonRC#SQLJavaScriptC+95
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VR

Venkata Ramakrishnan

Screened

Director-level Engineering & Technology Leader specializing in digital transformation and enterprise platforms

Edmond, Oklahoma21y exp
Longbridge FinancialMarist College

“Providing technical guidance to a small team exploring a biomedical startup focused on earlier disease detection, including for remote/underserved areas. The venture is in ideation with initial research completed and is moving toward prototyping while exploring initial investment/support.”

Performance ManagementAnalyticsAgileScrumDevOpsCI/CD+153
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AM

Alex Manni

Screened

Senior Agile/Product Delivery Leader specializing in enterprise transformation, data and cybersecurity

London, UK39y exp
OfcomPolitecnico di Milano

“Built a web-based online Sudoku game in JavaScript (multiplayer format supporting up to 6 teams with up to 5 players each) and demonstrates strong product/analytics orientation. Uses a KPI-driven approach (DAU/WAU, ARPU, session duration, LTV) and structured prioritization methods (MoSCoW, story mapping, cost of delay, DFV) to iterate toward targets; seeking a remote role around $70k/year.”

AgileScrumKanbanChange ManagementStakeholder ManagementVendor Management+331
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MM

Megan Montag

Screened

Senior Talent Acquisition & HR Change/Program Leader specializing in TA operations and process optimization

Greenwood Village, CO9y exp
SpectrumUniversity of Colorado Boulder

“Talent Acquisition/Recruiting Operations leader with 10+ years in TA and 6–7 years leading ops teams (up to 5 direct reports). Drove an enterprise-wide, global redesign of EchoStar’s recruiting and selection process, focusing on automation and process streamlining, and has led major HR/TA system implementations (Workday, Dayforce, iCIMS) across ATS/HRIS, onboarding, and payroll.”

Strategic PlanningStakeholder ManagementChange ManagementWorkforce PlanningProgram ManagementProject Management+82
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MM

Mueed MOHAMMED

Screened

Executive Enterprise Architect & CTO specializing in cloud, digital transformation, and AI/ML

Chicago, IL21y exp
WindyCity TraderDePaul University

“Senior enterprise architecture and engineering leader (Sr. Director / Principal Architect) who has owned enterprise IT strategy and governance for a $100M budget and partnered directly with C-suite stakeholders. Led a cruise-industry employee/crew digital transformation, scaling to 10 agile teams (~70 people) using SAFe/TOGAF and making architecture decisions optimized for low-connectivity environments (local database to avoid internet authentication).”

.NETAndroidiOSMicrosoft SQL ServerMicrosoft AzureSalesforce+129
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