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Vetted pytest Professionals
Pre-screened and vetted.
Sreeraj Chintham
Mid-level Python Developer specializing in backend microservices, APIs, and AI/RAG pipelines
“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.”
Russell Uzal
Senior SDET specializing in test automation across web, mobile, API, and connected devices
“AAA sports game QA tester who supported full development through launch and live updates, owning gameplay stability/regression risk. Experienced in triage-driven prioritization and in diagnosing complex crash issues (including thread synchronization) using evidence-backed Jira reports, then hardening coverage with stress/concurrency/soak and CI-integrated regression suites.”
BhanuPrakash Akepogu
Mid-level Full-Stack Engineer specializing in FinTech systems
“Full-stack engineer with strong fintech/financial-systems experience who built an automated reconciliation and reporting system end-to-end (Python/Django/FastAPI + React, Docker on AWS), cutting reconciliation time by ~25% and improving audit traceability. Experienced designing typed REST APIs and Postgres data models, operating production workloads on AWS (EC2/Lambda/RDS/DynamoDB/CloudWatch), and building reliable ETL/integration pipelines with idempotency, retries, and reconciliation.”
Bhavishyasai Chigurupati
Mid-Level Data/ML Engineer specializing in Generative AI and cloud data platforms
“Built and productionized an LLM-based financial document analysis system using a RAG pipeline, including robust ingestion/chunking/embedding workflows, vector DB retrieval, and an AWS-deployed FastAPI service containerized with Docker. Demonstrates strong applied expertise in improving retrieval quality and latency at scale, plus hands-on experience debugging agentic/LLM workflows with monitoring and trace-based analysis while supporting demos and customer-facing adoption.”
Mid-level Data Scientist & AI/ML Engineer specializing in GenAI, NLP, and predictive modeling
Mid-Level Software Development Engineer specializing in Healthcare IT and FinTech
Mid-Level Full-Stack Software Engineer specializing in web performance, cloud, and secure APIs
Senior Machine Learning Engineer specializing in GenAI, LLMs, and Python backend
Mid-level Full-Stack Software Engineer specializing in Python and FinTech
Junior Full-Stack Software Engineer specializing in Python, APIs, and cloud-native systems
Mid-Level Full-Stack Software Developer specializing in FinTech and Automotive web applications
Mid-Level Software Development Engineer specializing in full-stack web and AI/LLM apps
Mid-level Software Engineer specializing in Python, cloud, and ML applications
Mid-level Backend Engineer specializing in cloud-native microservices and real-time streaming
Mid-level Software Engineer specializing in Python backend, APIs, and AWS cloud systems
Mid-level Full-Stack Developer specializing in Java/Spring microservices and modern web apps
Mid-Level Software Engineer specializing in distributed systems and cloud-native microservices
Junior Full-Stack Software Developer specializing in AI/ML and web applications
Mid-level Software Engineer specializing in Python, cloud microservices, and AI/RAG systems
Mid-Level Full-Stack Software Engineer specializing in AI automation and cloud platforms
Mid-level QA Automation Test Engineer specializing in API/UI automation and regulated domains
Mid-level AI Engineer specializing in GenAI and financial risk & fraud analytics
Mid-level Test Automation Engineer specializing in UI and API automation