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Vetted Microservices Architecture Professionals
Pre-screened and vetted.
Senior Solution Architect and Engineering Manager specializing in government, FinTech, and cloud platforms
Executive CTO specializing in product scaling, cloud architecture, and AI platforms
Executive technology leader specializing in scalable SaaS, IoT, and product engineering
Mid-level Software Engineer specializing in cloud-native FinTech and distributed systems
Mid-level Software Engineer specializing in cloud-native microservices and full-stack systems
Senior Software Engineer specializing in distributed systems and FinTech
Mid-level Full-Stack & AI Backend Engineer specializing in LLM/RAG systems
Senior Software Engineer specializing in FinTech and enterprise platforms
Intern Full-Stack Software Engineer specializing in scalable web platforms
Mid-level Python Backend Developer specializing in FinTech and ML-driven fraud detection
Mid-level Full-Stack Engineer specializing in Python microservices and cloud automation
Mid-level Full-Stack Software Engineer specializing in AWS microservices and web platforms
Mid-Level Full-Stack Python Engineer specializing in AI-powered web apps and cloud-native systems
Pavan Devulapalle
Mid-level Software Engineer specializing in cloud platforms and AI-integrated full-stack development
“Backend engineer who built Flask-based internal APIs supporting GenAI-driven provisioning/diagnostics (Outpost/AWS Outposts-like environment), with deep hands-on optimization across Postgres/SQLAlchemy (2s to <200ms endpoint improvement). Experienced integrating ML/LLM workflows via AWS SageMaker and Bedrock, and designing multi-tenant isolation plus high-throughput Redis-backed background task pipelines (minutes to seconds).”
Sharath Nyalakonda
Mid-level AI/ML Engineer specializing in NLP, graph models, and MLOps for FinTech and Healthcare
“AI/ML engineer who has deployed production LLM/transformer-based systems for merchant intelligence and fraud/support optimization, delivering +27% merchant engagement and +18% payment success. Deep experience in privacy-preserving, PCI DSS-compliant data/ML pipelines (Airflow, AWS Glue, Spark, Delta Lake) and scalable microservices on Kubernetes, plus proven cross-functional delivery in healthcare claims analytics at UnitedHealth Group (12% HEDIS claim reduction).”
Nehal Mahankali
Mid-level Full-Stack Python Developer specializing in cloud-native banking applications
“Backend engineer who built a low-latency real-time transaction API in Python/Flask, with strong depth in PostgreSQL/SQLAlchemy performance tuning (time-based partitioning, indexing, connection pooling). Has production experience integrating ML scoring and OpenAI-style APIs with safety/latency controls, and designing multi-tenant isolation strategies including per-tenant pooling/caching and premium-tenant isolation.”
Vignesh Shanmugasundaram
Junior Software Engineer specializing in full-stack development and applied ML
“Full-stack engineer with experience at Zoho and Amazon who has owned production systems end-to-end, including a monolith-to-microservices migration using Kafka and Cassandra that improved search latency ~25% and increased throughput without data loss. Also built a hackathon project (Buildwise) into a sold product for a construction company (AI-driven document compliance checks) and shipped an IoT-based parking availability MVP in 3 weeks.”