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Vetted Python Developers in New Jersey
Pre-screened and vetted in New Jersey.
Mid-level Python & GenAI Engineer specializing in RAG and cloud MLOps
Mid-level Python & GenAI Engineer specializing in RAG and cloud MLOps
Sunil Chinthaparthi
Mid-level Python Developer specializing in AWS microservices and cloud automation
“Backend engineer focused on Python/FastAPI microservices running on Kubernetes (AWS EKS) with strong GitOps/CI/CD ownership (GitHub Actions + ArgoCD). Demonstrated measurable performance wins (p95 latency cut from >1s to <200ms) and production reliability work across Kafka/Redis streaming and cloud-to-on-prem migrations (RDS/S3 to Postgres/MinIO) using parallel validation and checksum-based consistency checks.”
Senior Software Engineer specializing in AI/ML, cloud microservices, and full-stack web apps
Mid-level Data Scientist specializing in AI/ML and Generative AI
Senior Full-Stack Engineer specializing in Python, cloud-native APIs, and microservices
Sreeraj Chintham
Mid-level Software Engineer specializing in Python backend and AI/GenAI
“Backend/infrastructure-focused engineer building AI-agent products for small businesses, including a customer-service agent platform with intent routing, RAG over Pinecone, and external booking API integration. Has shipped Python/FastAPI services with JWT auth, versioned APIs, Docker deployments to AWS EC2 via GitHub Actions, and production monitoring with Prometheus/Grafana.”
Senior AI/ML Engineer specializing in LLMs, RAG, and product-driven AI systems
Mid-level Full-Stack Developer specializing in Python, Django/FastAPI, and React
Achyuth Rapolu
Mid-level Python Backend Developer specializing in APIs, automation, and data pipelines
“Backend Python engineer with end-to-end ownership of secure financial data systems integrating banking/credit/payment platforms, including automated ingestion and reconciliation of large financial statements. Built modular Dockerized Django REST services with pandas-driven validation/normalization and Postgres/Mongo persistence, and supported a phased migration from legacy VM services to AWS containers with stateless refactors and parallel-run integrity checks (run IDs/checksums). Works closely with platform teams on GitOps/CI readiness and deployment coordination (e.g., ArgoCD-managed sync policies).”