Vetted SDLC Professionals

Pre-screened and vetted.

Lavanya Chilakalapudi - Mid-level Full-Stack Developer specializing in cloud-native web apps and APIs in Tampa, FL

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

Tampa, FL5y exp
DatabricksUniversity of South Florida

Backend engineer with experience building microservice-based systems that integrate LLM workflows (code review suggestions, documentation generation, test scaffolding) using REST APIs, Celery/Redis, and OpenTelemetry for observability. Demonstrates hands-on database and performance optimization in PostgreSQL/SQLAlchemy (bulk inserts, lock mitigation, cursor-based pagination) plus multi-tenant data isolation via tenant-aware models, middleware scoping, and schema/row-level strategies.

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Deepika Gotla - Senior Technical Support Engineer specializing in Azure Cloud & Generative AI in Bellevue, WA

Deepika Gotla

Screened

Senior Technical Support Engineer specializing in Azure Cloud & Generative AI

Bellevue, WA7y exp
MicrosoftSUNY New Paltz

Microsoft cloud/infra engineer with 5+ years supporting enterprise Azure environments, specializing in security-focused networking (private endpoints, DNS) and production troubleshooting across Azure Front Door/App Gateway WAF/AKS. Has implemented posture improvements via Defender for Cloud, Azure Policy, and RBAC tightening, and also designs secure AWS agent/scanner integrations and modern EKS/GitHub Actions/Secrets Manager observability-enabled SDK rollouts.

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Antara Bhavsar - Mid-level Software Engineer specializing in cloud-native systems and Android development in Bloomington, IN

Mid-level Software Engineer specializing in cloud-native systems and Android development

Bloomington, IN3y exp
Indiana UniversityIndiana University Bloomington

Application-focused software engineer with experience at Amazon and Motorola shipping production systems ranging from developer monitoring/on-call tooling (Alcazar, ~40% MTTR improvement) to consumer AI features used by 100K+ users. Currently building an AI/ML-driven platform with a Python/FastAPI backend on AWS (ECS/RDS/S3) and has handled real production latency/scaling incidents end-to-end.

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MF

Senior Implementation Project Manager specializing in enterprise SaaS

San Diego, CA18y exp
AmazonSt. Scholastica's College, Manila

Enterprise implementation leader with 10+ years delivering multi-million-dollar B2B/SaaS rollouts across procurement, expense management, legal tech, and fraud/identity platforms. At Amazon Business, managed 12+ concurrent enterprise implementations and owned the full lifecycle from strategy and change management through go-live, with strong executive stakeholder management and governance discipline.

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Pravesh Garg - Senior Product Manager specializing in AI, data, and digital products in New York, NY

Pravesh Garg

Screened

Senior Product Manager specializing in AI, data, and digital products

New York, NY8y exp
Goldman SachsUniversity at Buffalo

Product-focused candidate with experience applying AI to automate internal audit workflows, including OCR, prompt-engineered control testing, and report generation that saved 2000 manual hours annually. Also led UX design for a 30-minute retail delivery experience and used A/B testing, partner feedback, and KPI analysis to improve on-time delivery.

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DS

Divrit Saini

Screened

Mid-Level Full-Stack Software Engineer specializing in Java/Spring, AWS, and Angular

USA6y exp
AmazonArizona State University

Amazon engineer who owned customer-facing Alexa features and built automation-heavy delivery practices (API/service-level testing in CI/CD) to ship quickly without sacrificing stability. Also built an internal self-service feature management/beta access platform (Angular + Spring Boot + event publishing) that replaced a multi-team ticket workflow with instant, auditable operations, and has deep microservices/Kafka experience with strong observability and reliability patterns.

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KT

Mid-level Data Scientist specializing in machine learning and generative AI

Saint Louis, MO5y exp
DoorDashSaint Louis University

ML/LLM engineer who has shipped a production transformer-based document understanding system on AWS, owning the full pipeline from domain fine-tuning to Dockerized CI/CD deployment. Demonstrates strong production rigor—latency optimization (distillation/quantization, async batching, autoscaling), orchestration with Airflow/Step Functions/Azure Data Factory, and monitoring/drift detection—plus experience translating ops stakeholder needs into adopted AI automation via dashboards.

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PG

Director-level Enterprise Architecture & CRM/AI Automation Leader (Salesforce, ERP/CRM platforms)

Boston, MA13y exp
Vertex PharmaceuticalsUniversity of Central Missouri

Associate Director in commercial technology leading Salesforce platform delivery (Sales Cloud + Health Cloud) for patient engagement and order management. Personally led secure integrations like Bartender Cloud label/barcode generation (PDF creation, encryption, malware scanning) and owned a major StreamSets-based Salesforce data sync incident triggered by a Salesforce region move, adding proactive monitoring and automated DR/failover. Experienced in scaling delivery via CI/CD, release cadence, and leading teams through architecture reviews, code reviews, and lead-to-cash automation.

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Vivek Shrivastava - Director-level Technology Leader specializing in data platforms, AI, and media/AdTech transformation in Los Angeles, California

Director-level Technology Leader specializing in data platforms, AI, and media/AdTech transformation

Los Angeles, California24y exp
Fox CorporationUniversity of Lucknow

Technology leader who built a unified platform for Fox live sports production operations starting in 2019, delivering an initial operational system on an ~18-month timeline while simultaneously scaling an in-house engineering team from a service-provider partnership. Led a security architecture for external vendors/partners using a separate Okta instance with zero-trust and passwordless authentication, and drove adoption through strong change management, documentation, and agile execution.

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SP

Mid-level Full-Stack Developer specializing in FinTech and payments

USA3y exp
Fidelity InvestmentsKent State University

Backend/platform engineer with experience at Fidelity and PayPal, spanning financial systems, payment pipelines, and regulated AI workflows. They’ve owned large-scale deployments end-to-end, including a brokerage platform for 150,000+ accounts, and have hands-on experience integrating OpenAI into internal research tooling with compliance-safe validation and human review.

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JY

Josh Yu

Screened

Executive engineering leader specializing in SaaS platforms, AI/LLM, and digital transformation

Atlanta, GA20y exp
OneTrustUniversity of Akron

Senior engineering leader who scaled a global organization from 15 to roughly 100 people and operates comfortably at both executive and hands-on architecture levels. Has led SaaS platform improvements, AI-based compliance workflow automation with LLM observability, and consumer-facing product modernization using analytics-driven UX decisions.

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AM

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

USA5y exp
JPMorgan ChaseUniversity of Texas at Arlington
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TM

Mid-level Cloud & DevOps Engineer specializing in cloud automation and Kubernetes security

Chicago, IL4y exp
MastercardDePaul University
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Prashant Kumar - Mid-level Full-Stack Software Engineer specializing in cloud and GenAI applications in USA

Mid-level Full-Stack Software Engineer specializing in cloud and GenAI applications

USA6y exp
JPMorgan ChaseUniversity at Buffalo
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Roshini Joga - Intern Software Engineer specializing in full-stack development and cloud/AI automation in Seattle, WA

Intern Software Engineer specializing in full-stack development and cloud/AI automation

Seattle, WA2y exp
AmazonSan José State University
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Saumya Sharma - Mid-level Software Development Engineer specializing in AWS cloud and full-stack web development in New York, USA

Mid-level Software Development Engineer specializing in AWS cloud and full-stack web development

New York, USA
SteamWorks StudioSyracuse University
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VG

Mid-level Business Analyst specializing in SAP and enterprise applications

Remote, USA3y exp
NVIDIASaint Peter's University
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RM

Director-level engineering leader specializing in platform architecture for FinTech and SaaS

Pleasanton, CA26y exp
Blackhawk NetworkUniversity of Madras
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Sree Chitta - Senior Full-Stack Python Developer specializing in FinTech and cloud-native systems in Texas, USA

Senior Full-Stack Python Developer specializing in FinTech and cloud-native systems

Texas, USA7y exp
Goldman SachsTexas State University
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Parixit Sanghani - Mid-Level Software Engineer specializing in distributed systems and cloud data pipelines in Boston, MA

Mid-Level Software Engineer specializing in distributed systems and cloud data pipelines

Boston, MA3y exp
AmazonRochester Institute of Technology
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Akhil Konda - Mid-Level Software Engineer specializing in cloud-native microservices and real-time data pipelines in Morrisville, NC

Mid-Level Software Engineer specializing in cloud-native microservices and real-time data pipelines

Morrisville, NC5y exp
AmazonNorthwest Missouri State University
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Nithin Reddy Kotla - Intern Full-Stack / Front-End Engineer specializing in cloud dashboards and web platforms

Intern Full-Stack / Front-End Engineer specializing in cloud dashboards and web platforms

2y exp
AmazonOklahoma State University
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Robert Godinez - Senior Software Engineer specializing in FinTech compliance platforms in San Francisco, CA

Senior Software Engineer specializing in FinTech compliance platforms

San Francisco, CA11y exp
AzumoUC Irvine
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PS

Mid-level Full-Stack Developer specializing in FinTech, telecom, and healthcare platforms

Dallas, Texas6y exp
JPMorgan ChaseUniversity of Texas at Arlington
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