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Vetted Python Developers
Pre-screened and vetted.
Sai Sathvik Pakeeru
Mid-level Python & GenAI Engineer specializing in RAG and cloud MLOps
Abhishek Savaliya
Junior Python Developer specializing in ML/NLP and cloud deployment
Vishal Singh
Mid-level Software Engineer & Data Scientist specializing in Python, Django, and ML
Sai Pakeeru
Mid-level Python & GenAI Engineer specializing in RAG and cloud MLOps
Ronald Johnson
Senior Python Engineer specializing in data engineering and applied AI/ML
Andrew Andrew Rodriguez
Senior Full-Stack Engineer specializing in Python, cloud platforms, and identity/security systems
Matthew Deberry
Senior AI/ML Engineer specializing in healthcare AI, LLMs, and MLOps
Christopher Chaney
Senior Python/ML Engineer specializing in LLM-powered backend systems
Satya Kudulla
Mid-level Full-Stack Developer specializing in Python, React, and cloud-native AI microservices
Jose Cabral
Senior Full-Stack Python Engineer specializing in cloud microservices and MLOps
Nagaswetha Prathipati
Mid-level Full-Stack Software Engineer specializing in cloud-native data platforms
Vikranth Kurugundla
Mid-level Software Engineer specializing in backend systems and LLM-powered AI applications
SASA RADOSAVLJEVIC
Senior AI/ML Engineer specializing in Generative AI and Computer Vision
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.”
Swathi Sankaran
Senior Python Full-Stack Developer specializing in cloud, data engineering, and ML/GenAI
“Backend/data engineer with hands-on production experience building FastAPI services on AWS and implementing strong reliability/observability (CloudWatch, ELK, correlation IDs, alarms). Has delivered serverless + container solutions with IaC (CloudFormation/Terraform) and Jenkins CI/CD, and built AWS Glue/PySpark pipelines into S3/Redshift with schema-evolution and data-quality safeguards; demonstrated large-scale SQL tuning (45 min to 3 min on a 500M-row workload).”
Shravya M
Senior AI/ML Engineer specializing in NLP, LLMs, and MLOps
“LLM/agent workflow engineer with healthcare experience (CVS/CBS Health) who built and deployed a production call-insights platform using Azure OpenAI + LangChain/LangGraph, including sentiment and compliance checks. Demonstrates deep HIPAA/PHI handling (tenant-contained processing, redaction, RBAC/encryption/audit logging) and production rigor (testing, eval sets, validation/retries, autoscaling) to scale to thousands of transcripts.”
Nithin Aitha
Mid-level Full-Stack Python Developer specializing in FinTech and Healthcare
“Backend-leaning full-stack engineer who has shipped real-time, customer-facing dashboards and ticketing/payment features at Freshworks and Global Payments. Strong in Python API design (Django/Flask/FastAPI) and React/TypeScript UIs, with hands-on experience scaling PostgreSQL for high transaction volumes and operating services on AWS, including incident response and HIPAA-aligned security controls.”
Sayali Patil
Mid-level Python Full-Stack Developer specializing in Healthcare and FinTech
“Backend engineer with hands-on experience building a fraud-transaction monitoring system in Python/Flask, architected as Dockerized microservices and integrated with Kafka for high-volume streaming. Demonstrates strong performance and reliability chops across PostgreSQL/SQLAlchemy tuning (EXPLAIN ANALYZE, N+1 fixes, bulk ops), multi-tenant data isolation, and scaling via background workers + Redis caching, plus real-time ML inference deployment using TensorFlow on AWS.”
Rahul Hatkar
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and MLOps
“AI/ML engineer who has shipped production AI systems end-to-end, including an automated multi-channel (Gmail/WhatsApp/voice) candidate interviewing workflow and an enterprise RAG knowledge search platform. Demonstrates strong production rigor (monitoring, A/B tests, guardrails, schema validation, shadow testing) with quantified impact: ~60–70% reduction in interview evaluation time and ~20–30% relevance gains in RAG retrieval.”
Ravali Aleti
Senior Python Developer specializing in AWS backend APIs and enterprise authentication
“Backend/data engineer focused on AWS-based Python services and data pipelines: built a Django/DRF user management/auth platform deployed with serverless AWS (Lambda/API Gateway) and event-driven workflows (Step Functions/EventBridge), with CloudFormation + Jenkins for automated delivery and Secrets Manager/Parameter Store for secure config. Also delivered AWS Glue ETL from S3 to RDS with schema evolution controls and incident-driven improvements, and has demonstrated measurable SQL tuning impact (minutes-to-seconds).”