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Vetted Python Developers
Pre-screened and vetted.
Senior Python Full-Stack Developer specializing in cloud, MLOps, and GenAI
Mid-level Data Scientist / ML Engineer specializing in Generative AI and NLP
Mid-Level Python & GenAI Developer specializing in LLM chatbots and RAG
Mid-level Data Scientist specializing in AI/ML and Generative AI
Mid-level Python Backend Developer specializing in cloud and healthcare systems
Junior Python Backend Developer specializing in cloud-native APIs and data pipelines
Senior Software Engineer specializing in AI-driven workflow automation
Mid-Level Software Engineer specializing in backend microservices and cloud-native AI systems
Senior AI/ML Engineer specializing in conversational AI and LLM systems
Senior Python Engineer specializing in full-stack web and cloud applications
Mid-level Python Developer specializing in APIs, microservices, and data-driven e-commerce systems
Senior AI Python Engineer specializing in Generative AI and MLOps
JaswanthRaj Bantu Aindla
Mid-level Python Developer specializing in cloud-native microservices for FinTech and Insurance
“Backend/data engineer who has maintained high-traffic FastAPI microservices and delivered a hybrid AWS serverless+containers platform using Terraform and GitHub Actions, with secrets managed via Secrets Manager/SSM. Also led modernization of a mission-critical 10,000+ line SAS financial reporting engine into Python microservices and built AWS Glue ETL pipelines feeding a centralized data lake.”
Rama Gowtham Reddy Padala
Mid-level Backend Python Engineer specializing in APIs, microservices, and data pipelines
“Backend engineer (Marsh McLennan) who evolved a high-volume claims automation pipeline in Python, emphasizing thin APIs with background job processing, strong validation/retries, and production-grade observability. Experienced in secure FastAPI API design (centralized JWT/RBAC), multi-tenant Postgres/Supabase-style row-level security, and low-risk refactors using parallel runs and feature flags; targeting founding-engineer scope roles.”
keerthana s
Mid-level Backend Software Engineer specializing in Python/FastAPI on AWS
“Backend engineer with healthcare domain experience building AI-driven radiology workflow systems. Evolved tightly coupled APIs into secure, reliable FastAPI-based services by moving heavy imaging/data processing into idempotent asynchronous pipelines with retries, feature-flagged incremental rollout, and strong data-integrity controls (constraints, backfills, validation). Strong focus on defense-in-depth security for sensitive patient data (OAuth2/JWT, RBAC, and database-level protections).”
Sai Vivek Reddy Gankidi
Mid-level Generative AI Engineer specializing in LLMs and RAG systems
“Built and shipped a production RAG-based enterprise knowledge assistant to replace slow/inaccurate search across millions of documents, using LangChain orchestration with GPT-4/LLaMA and vector databases. Strong focus on production constraints—latency, hallucination control, and cost—using hybrid retrieval, guardrails, LLM-as-judge validation, and model routing, and has experience translating non-technical stakeholder pain points into measurable outcomes.”
Venkatesh Sanaboina
Senior AI/ML Engineer specializing in Generative AI, LLMs, and MLOps
“Telecom (Verizon) AI/ML practitioner who built a production multimodal system that ingests messy customer issue reports (calls, chats, emails, screenshots, videos) and turns them into confidence-scored incident summaries with reproducible steps and evidence links. Also built KPI/alarm-to-ticket correlation to rank likely root-cause domains (RAN/Core/Transport), cutting triage from hours to minutes and improving MTTR.”