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Vetted Database Indexing Professionals
Pre-screened and vetted.
Junior Full-Stack Software Engineer specializing in scalable APIs and cloud systems
Junior Software Engineer specializing in mobile and full-stack healthcare applications
Mid-level Full-Stack Developer specializing in Spring Boot microservices and React
Mid-Level Full-Stack Java Developer specializing in cloud microservices and Android
Mid-level Full-Stack Web Developer specializing in modern web apps and DevOps
Mid-level Full-Stack Engineer specializing in Java/Spring Boot and payments automation
Mid-Level Full-Stack Software Engineer specializing in cloud, microservices, and AI/LLM systems
Mid-Level Full-Stack Java Developer specializing in FinTech and cloud microservices
Mid-level Data Engineer specializing in cloud data pipelines for Healthcare and FinTech
Mid-Level Software Engineer specializing in backend integrations and distributed systems
Senior AI/ML Engineer specializing in conversational AI and LLM systems
Mid-level Backend & AI Engineer specializing in agentic systems and scalable microservices
Mid-Level Full-Stack Software Engineer specializing in edtech and adaptive learning systems
Mid-level Software Engineer specializing in backend systems for Insurance and Healthcare
Mid-level Data Scientist specializing in predictive modeling and applied mathematics
Benjamin Ross
Senior Backend/Cloud Developer specializing in AWS serverless and legacy modernization
“AWS-focused backend/data engineer with hands-on production experience building serverless APIs (Lambda/API Gateway) secured with Cognito/JWT, deploying via Terraform + CI/CD, and managing secrets with Secrets Manager/Parameter Store. Also built AWS Glue ETL from S3 to RDS with schema evolution and data-quality controls, modernized a monolith into microservices using parallel testing, and delivered major SQL performance gains (minutes to seconds) while owning incident response for batch pipelines.”
srisindhu manchikanti
Mid-level Machine Learning Engineer specializing in multimodal and time-series AI systems
“Backend engineer who rebuilt and refactored high-traffic systems at Phenom using Java/Spring Boot/Play and also designs Python/FastAPI services. Focused on measurable reliability and performance gains through DB/query optimization, async processing, and strong observability, with disciplined rollout practices (feature flags, parallel runs, rollback) and security patterns including token auth and row-level security.”
Sasaunk Vanamali
Mid-Level Full-Stack Software Engineer specializing in cloud-native apps and ML services
“Software engineer who deployed and stabilized a real-time analytics platform at Senecio Software, focusing on production reliability, observability, and performance under load. Experienced debugging issues spanning distributed services and networking (e.g., tracing timeouts to packet loss from misconfiguration) and extending Python (FastAPI/Django) APIs for customer-specific analytics features in a configurable, maintainable way.”
Shaktisharan Rajure
Mid-level Full-Stack Engineer specializing in backend APIs on AWS (Healthcare & FinTech)
“Backend engineer who evolved and migrated a real-time smartwatch telemetry ingestion/analytics platform in a healthcare context, focusing on reliability under poor network conditions. Experienced with Python/FastAPI and Java microservices, PostgreSQL performance tuning, and production-grade security (JWT/OAuth, RBAC, RLS) with incremental rollout and parallel-run migration strategies.”
Devanshi Desai
Mid-level Full-Stack Engineer specializing in Java/Spring, React, and AWS cloud platforms
“Full-stack/product-leaning engineer in logistics and high-traffic portals who ships production AI features: built an AI-assisted shipment status Q&A system using Pinecone + GPT-4 and a high-volume Python ingestion pipeline (500K+ records/day), delivering 35% fewer support tickets and cutting resolution time from 11 to 4 minutes. Also led a legacy Angular-to-React/TypeScript rebuild that boosted Lighthouse performance from 60 to 90, and has hands-on AWS EKS operations experience including resolving a 3x traffic scaling incident.”