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Vetted Microsoft SQL Server Professionals

Pre-screened and vetted.

Microsoft SQL ServerPythonCI/CDDockerSQLAWS
PT

Preet Talati

Screened ReferencesStrong rec.

Junior Full-Stack Developer specializing in .NET Core and React

2y exp
Defense Language InstituteUniversity of Illinois Chicago

“Full-stack engineer who has shipped end-to-end, customer-facing features in an education/student-population context, including an authorized incident-reporting workflow with RBAC and a PostgreSQL-backed data model. Has 0→1 React+TypeScript/Redux product experience (CTO at Jiffur) and hands-on production operations with CI/CD (Azure Pipelines/GitHub Actions), including resolving a real CPU-saturation outage via operational mitigation and scaling changes.”

MVCC#MicroservicesSQLMySQLNoSQL+122
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NT

Nikhil Tatikonda

Screened ReferencesModerate rec.

Intern AI/ML Engineer specializing in LLM agents, RAG, and automation workflows

Buffalo, NY1y exp
ColaberryUniversity at Buffalo

“AI automation builder who shipped an OpenAI-powered weekly "trending AI tools" WoW reporting system (65 categories) that reduced a 6–7 hour manual process to ~10 minutes at negligible API cost. Also building a RAG-based content creation prompt engine that turns PDFs into storyboards with fact-checking/traceback to source lines, plus experience with AWS deployment components (Lambda, ECR, App Runner, Bedrock, API Gateway) and GitHub Actions.”

AlgorithmsAmazon API GatewayAmazon S3API DevelopmentChatGPTClaude+100
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CH

Chien-Ting Hung

Screened ReferencesModerate rec.

Director-level AI Engineer specializing in computer vision and LLM/RAG platforms

6y exp
Wiadvance Technology Co., Ltd.National Chengchi University

“Hands-on LLM/RAG engineer with production experience improving retrieval quality and stability by addressing messy data, vector DB inaccuracy, and top-K issues—ultimately redesigning to hybrid search with tuned keyword/semantic weighting and MCP-based data supplementation. Also brings strong AKS/Kubernetes deployment experience, optimizing CI/CD speed via lightweight local Docker validation and decomposing pods to avoid full rebuilds, plus a metrics-driven approach to agent/workflow testing and traceability.”

TensorFlowKerasScikit-learnPyTorchLangChainLangGraph+117
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TP

Tanisha Pradeep Bhola

Screened

Mid-level Software Development Engineer specializing in backend, cloud, and microservices

Dayton, Ohio4y exp
University of DaytonUniversity of Dayton

“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.”

JavaPythonJavaScriptTypeScriptC++SQL+124
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AJ

Anant Jain

Screened

Mid-Level Full-Stack Software Developer specializing in React, TypeScript, and Azure

Waterloo, Canada3y exp
Equitable Life Of CanadaConestoga College

“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).”

ReactTypeScriptReduxNext.jsGraphQLNode.js+90
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JR

Jyothi RajaMurugan

Screened

Mid-level .NET Full-Stack Developer specializing in finance and healthcare web apps

New Jersey, USA5y exp
Brown & BrownCampbellsville University

“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.”

.NETAgileAngularAPI IntegrationAWSAzure DevOps+63
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RK

Ragamalika Karumuri

Screened

Mid-level AI Engineer specializing in LLM apps, RAG pipelines, and multi-agent systems

Boston, MA4y exp
Humanitarians.AINortheastern University

“AI Engineer at Humanitarian AI who has built and productionized both a LangGraph-based multi-agent workflow system and a RAG pipeline (OpenAI embeddings + vector DB) with rigorous evaluation/guardrails. Reports strong measurable impact (60% faster workflow delivery, 40% fewer incidents, 70% reduced research time) and has prior enterprise modernization experience at Infosys migrating ETL to microservices with zero production incidents.”

PythonSQLTypeScriptBashPrompt EngineeringLarge Language Models (LLMs)+162
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TS

Teja Sankara

Screened

Mid-level Full-Stack Software Engineer specializing in cloud-native SaaS

4y exp
Elevance HealthUniversity of Texas at Arlington

“Backend engineer with deep experience modernizing a provider credentialing/compliance platform with multiple upstream/downstream integrations. Focused on building predictable, scalable REST APIs (primarily ASP.NET Core; framework-agnostic approach applicable to FastAPI), improving performance via DB/query optimization, and hardening workflows with idempotency, transactions, feature flags, and strong auth/RBAC patterns.”

AgileAJAXAlgorithmsAmazon CloudWatchAngularApache Kafka+180
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LL

LakshmiCharan Lingisetty

Screened

Mid-level AI/ML Engineer & Data Scientist specializing in NLP and Generative AI

Overland Park, KS5y exp
CenteneUniversity of Central Missouri

“Built and deployed an agentic RAG platform at Centene Health to support healthcare claims and complaints workflows (Q&A for claims agents, executive complaint summarization, and compliance triage/classification). Experienced in LangChain/LangGraph orchestration, production deployment on AWS with FastAPI/Docker/Kubernetes, and implementing HIPAA-compliant guardrails to reduce hallucinations and ensure explainable outputs.”

PythonSQLRCC++Java+117
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VS

Vinícius Samuel

Screened

Senior Unity Game Developer specializing in mobile and VR experiences

Dublin, Ireland8y exp
StoryToysUNIFIL

“Unity developer with experience building an optimized comic-reader/content delivery system for Marvel HQ using Addressables—avoiding bulk downloads and dynamically loading/unloading pages to reduce mobile memory/disk usage and improve runtime performance. Also has multiplayer experience using server-authoritative Netcode with prediction and deterministic battle behavior, including real-time kinematic body tracking, and leverages AI tools (Cursor/Manus) to speed prototyping and refactoring.”

UnityC#C++CMultithreadingUnreal Engine+112
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SA

SaiAnusha Allaparthi

Screened

Mid-Level Full-Stack Web Developer specializing in React and Node.js

Toronto, ON6y exp
Simplii FinancialDMS SVH College of Engineering

“Frontend engineer who led end-to-end delivery of a customer-facing ticket booking platform at Simplii Financial, emphasizing scalable React architecture, performance (code-splitting/lazy loading), and accessibility. Also built a data-heavy real-time metrics dashboard at Q-TED using React + TypeScript with React Query for server-state, strong API contract validation practices, and tight QA/product/design collaboration for fast, stable releases.”

API IntegrationAWSAzure DevOpsBitbucketBootstrapCI/CD+70
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NK

Navya Kesani

Screened

Mid-Level Full-Stack Software Developer specializing in Java, Spring Boot, and cloud-native web apps

Lubbock, TX3y exp
Texas Tech UniversityTexas Tech University

“Former Wipro engineer who contributed to an open-source JavaScript utility library focused on frontend validation/formatting, including adding a cross-browser date-formatting module. Experienced in OSS maintenance (bug fixes, PR reviews, docs), performance profiling/benchmarking (Chrome DevTools, Node.js performance hooks), and improving community support workflows with issue templates and diagnostic logging.”

JavaPythonC++Spring BootAngularReact+62
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VM

Vaishnavi M

Screened

Mid-level AI/ML Engineer specializing in MLOps and Generative AI

5y exp
Liberty MutualUniversity of Maryland, Baltimore County

“At Liberty Mutual, built a production underwriting decision assistant combining LLM reasoning with quantitative models and strong auditability. Implemented a claims-based response verification pipeline that cut hallucinations from 18% to 3% and materially improved user trust/validation scores. Experienced orchestrating ML/LLM workflows end-to-end with Airflow, Kubeflow Pipelines, and Jenkins, including SLA-focused pipeline hardening.”

A/B TestingApache AirflowApache KafkaApache SparkAWSAWS Lambda+143
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KM

KrishnaVardhan Mandanapu

Screened

Mid-Level Software Development Engineer specializing in GenAI automation and cloud systems

Long Beach, CA6y exp
simplehumanGeorge Mason University

“Backend Python engineer who architected an event-driven order integration engine connecting EDI vendors to ERP/WMS/3PL systems, including a canonical order model and adapter framework to eliminate per-customer hardcoding. Has hands-on Kubernetes production experience (microservices, Celery workers, CronJobs, HPAs) and implemented GitOps/CI-CD using GitHub Actions, Docker, and ArgoCD, including moving deployments from on-prem to Azure.”

PythonJavaScriptJavaSQLFlaskVue.js+100
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RR

Ravinder Reddy Mamidi

Screened

Mid-Level Full-Stack Engineer specializing in Java Spring Boot and React

Remote, US3y exp
SynchronyGovernors State University

“Full-stack engineer who built a cloud-native customer servicing platform at Synchrony using React 18/Next.js (SSR) and Spring Boot microservices on AWS. Experienced with high-volume, event-driven systems (Lambda/SNS/SQS) and strong distributed-systems rigor around data integrity (idempotency, DynamoDB conditional writes) plus production-grade security/observability (JWT/OAuth2, WAF, Actuator, Splunk).”

JavaCC++PythonJavaScriptTypeScript+100
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SG

Saharsha Goud

Screened

Senior Full-Stack Java Developer specializing in microservices and cloud platforms

Denver, CO7y exp
DaVitaUniversity of Central Missouri

“Full-stack engineer focused on data-heavy platforms, building Spring Boot microservices and Angular/React dashboards end-to-end. Has hands-on experience improving large-scale API and UI performance (including cutting 8–10s response times) and ensuring cross-service consistency using Kafka, idempotent consumers, and strong validation/transaction patterns on AWS with CI/CD and observability (Prometheus/ELK).”

AgileAJAXAmazon API GatewayAmazon DynamoDBAmazon EC2Amazon ECS+215
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AS

Althaf Shaik

Screened

Senior Software Engineer specializing in cloud-scale distributed systems and data platforms

Hyderabad, India4y exp
DHI ADT SolutionsNJIT

“LLM/RAG-focused engineer who repeatedly takes agentic workflows from impressive demos to dependable production using rigorous evals, SLOs, and deep observability. Has led high-impact incident mitigation (22-minute MTTR during a major sale) and developer enablement workshops, and partnered with sales to close a $410k ARR enterprise deal with a tailored RAG pilot (FastAPI/pgvector/Okta/InfoSec-ready).”

C++C#JavaPythonFastAPISpring Boot+203
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SV

Satya VM

Screened

Mid-level GenAI/Data Engineer specializing in LLMs, RAG systems, and fraud detection

Ruston, LA7y exp
Origin BankOsmania University

“ML/NLP engineer with banking domain experience who built a GenAI-powered fraud detection and risk intelligence system at Origin Bank, combining RAG (LangChain + FAISS), fine-tuned BERT NER, and GPT-4/Sentence-BERT embeddings. Delivered measurable impact (25% higher fraud detection accuracy, 40% less manual review) and emphasizes production-grade pipelines on AWS SageMaker/Airflow with strong data validation and scalable PySpark processing.”

Generative AILarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)Sentiment analysisMachine LearningDeep Learning+173
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SD

SRI DATTA VENGA SAMPATH VENGA

Screened

Mid-level Full-Stack Developer specializing in cloud-native web apps and AI monitoring

Fullerton, CA3y exp
Galexor AICal State Fullerton

“QA automation-focused candidate with hands-on ownership of unit and integration test suites, including CI/CD integration in GitLab. Caught a database-query regression that would have shipped incomplete API data by relying on automated integration tests, and has practical Cypress experience stabilizing flaky tests using cy.intercept()/cy.wait() and stable selectors.”

ReactTypeScriptJavaScriptHTMLCSSAngular+78
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LK

Likhith Kumar Yaramala

Screened

Junior Backend/Cloud Software Engineer specializing in microservices and DevOps

India2y exp
Brillquest TechnologiesFlorida State University

“Cloud/DevOps-focused engineer with strong Linux production operations experience, deploying microservices to AWS on Docker/Kubernetes. Has built and operated secure CI/CD (GitHub Actions/Jenkins) and Terraform IaC workflows with approvals, remote state, and drift detection, and has hands-on incident recovery experience in containerized environments; limited direct IBM Power/AIX/PowerHA exposure.”

AgileAngularAPI DesignAPI GatewayAuthenticationAuthorization+120
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AK

Akanksha K

Screened

Mid-Level Full-Stack Software Engineer specializing in Java microservices and React

USA3y exp
KrogerSaint Louis University

“Backend-focused TypeScript/Node.js engineer who owned a production microservice for transactional workflows in a React + microservices platform, integrating REST and Kafka event processing. Emphasizes operability and correctness (idempotency keys, exponential backoff retries, DLQs, centralized logging/metrics/alerts) plus strong API DX via versioning and Swagger/OpenAPI with improved error contracts based on developer feedback.”

JavaSpring BootSpring MVCSpring FrameworkHibernateReact+105
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SA

Saideepak Akkinapalli

Screened

Mid-level Software Engineer specializing in cloud-native microservices and AI/ML

4y exp
HumanaUniversity of Central Missouri

“Full-stack engineer with healthcare/AI platform experience (Humana), owning an end-to-end high-risk patient prediction feature from React dashboards through FastAPI/TensorFlow real-time inference to AWS EKS operations. Emphasizes production reliability and contract-driven APIs (OpenAPI + generated TS types), plus strong data integration patterns (Kafka, idempotency, DLQs, backfills) in regulated, high-traffic environments.”

.NETAgileAngularAnsibleAsynchronous ProcessingAuthentication+130
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