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Vetted Object-Oriented Programming (OOP) Professionals
Pre-screened and vetted.
Lavanya Chilakalapudi
Mid-level Full-Stack Developer specializing in cloud-native web apps and APIs
“Backend engineer with experience building microservice-based systems that integrate LLM workflows (code review suggestions, documentation generation, test scaffolding) using REST APIs, Celery/Redis, and OpenTelemetry for observability. Demonstrates hands-on database and performance optimization in PostgreSQL/SQLAlchemy (bulk inserts, lock mitigation, cursor-based pagination) plus multi-tenant data isolation via tenant-aware models, middleware scoping, and schema/row-level strategies.”
Nate Zaidi
Senior Full-Stack Python Engineer specializing in AI/ML and cloud-native systems
“Backend/data engineer with hands-on production experience across FastAPI/PostgreSQL APIs and AWS (Lambda, ECS) delivered via Terraform + GitHub Actions. Built Glue-based ETL pipelines into Redshift with schema evolution and data quality checks, modernized legacy reporting into Python microservices, and has demonstrated measurable SQL performance wins (multi-second query reduced to sub-300ms).”
Gagan Reddy Konani
Mid-level Machine Learning Engineer specializing in LLMs and RAG for healthcare
“AI Engineer (Medtronic) who deployed a production RAG-based clinical assistant grounded in curated biomedical literature (no patient-identifiable data). Deep hands-on experience orchestrating and hardening LLM workflows with LangChain/LangGraph, including stateful agentic flows, rigorous testing, and evaluation; reports a 72% accuracy improvement through retrieval enhancements (query rewriting, multi-query expansion, MMR reranking).”
Geetha Sri Kasu
Mid-level Software Engineer specializing in Java/Spring Boot, Kafka, and AWS
“Software engineer who owned an end-to-end self-service reporting workflow (secure APIs, async/batched processing, and React UI), improving report generation performance by ~30–40% and reducing manual support effort. Also built a RAG/embeddings prototype over internal docs and service logs with grounding-focused guardrails, and has a strong reliability/observability mindset (retries, DLQs, CI/CD validation, dashboards/tracing) for distributed workflows.”
Mid-Level Software Engineer specializing in ML platforms and full-stack systems
Mid-level Quality Assurance Engineer specializing in test automation and reliability
Junior Software Engineer specializing in AI/ML and cloud-native systems
Mid-level Backend Engineer specializing in cloud migrations and scalable microservices
Mid-level Software Development Engineer specializing in AWS cloud and full-stack web development
Mid-Level Java Full-Stack Developer specializing in Spring Boot, Angular, and AWS
Intern Software & Data Engineer specializing in ML, robotics, and computer vision
Mid-Level Software Engineer specializing in distributed systems and cloud data pipelines
Mid-level Python Backend Developer specializing in cloud-native APIs and data pipelines
Mid-level Full-Stack Engineer specializing in cloud-native microservices and AI/ML
Mid-Level Full-Stack Java Developer specializing in FinTech microservices
Senior QA Analyst specializing in video game testing and build verification
Junior Software Engineer specializing in full-stack web and ML systems
Junior Software/Data Science Researcher specializing in AI, distributed systems, and GPU optimization
Software Engineer specializing in real-time systems and FinTech payments