.png){kind=logo}
Vetted Visual Studio Code Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in cloud-native microservices and FinTech platforms
Mid-level AI & Machine Learning Engineer specializing in production ML and LLM applications
Junior Software Engineer specializing in AWS billing and support systems
Senior Software Engineer specializing in cloud platforms, Kubernetes, and real-time streaming
Mid-level Software Engineer specializing in FinTech payments and compliance systems
Mid-level Software Engineer specializing in Cloud DevOps and MLOps
Mid-Level Full-Stack Software Engineer specializing in web apps, cloud, and data visualization
Senior Full-Stack Developer specializing in AI-driven cloud-native systems
Mid-level AI/ML Engineer specializing in production ML, NLP, and computer vision
Mid-Level Software Engineer specializing in Java microservices and reactive systems
Mid-level AI/ML Engineer specializing in NLP, Computer Vision, and Generative AI
Mid-level AI/ML Engineer specializing in GenAI, MLOps, and big data on cloud platforms
Mid-level Data Engineer specializing in cloud lakehouse and streaming analytics
Senior Software Developer specializing in Python, AWS, and Big Data
Intern Software Engineer specializing in cloud, DevOps, and LLM-powered tooling
Mid-level Full-Stack Python Developer specializing in APIs, microservices, and cloud deployments
Engineering Manager specializing in backend platforms, risk systems, and FinTech
Nagatheja Sharaf
Mid-Level Software Engineer specializing in cloud-native systems, automation, and LLM-enabled robotics
“React-focused engineer who built a full-stack analytics/test-metrics dashboard (React frontend + Python backend) and turned common UI pieces (data tables, filter panels, chart wrappers) into a reusable internal component library with docs, examples, and basic tests. Strong on profiling-driven performance optimization (React Profiler, memoization) and on owning ambiguous internal-tool projects end-to-end; now planning to package internal patterns into public open-source components.”
Varshith Dupati
Mid-level Software Engineer specializing in AWS, full-stack development, and AI data systems
“Backend engineer who built a Python-based data profiling/statistics platform processing up to 50M rows and ~300 metrics, using a DAG execution model, multithreading, and smart caching to cut processing time by up to 70%. Also improved PostgreSQL query performance from 12s to 2s via indexing/query rewrites, integrated an LLM (LangChain + OpenAI) for explainable “chat with the pipeline” functionality, and designed an AWS EC2+SQS architecture for scalable, isolated per-user processing.”
Vyas Cholayil
Mid-Level Software Engineer specializing in Python automation, DevOps, and microservices
“Backend-focused engineer who built an internal wiki LLM chatbot end-to-end using FastAPI, Kubernetes, and ChromaDB vector search, including frontend integration. Also has strong DevOps/migration experience—automating large work-item and repo migrations (Jira/FogBugz/ADO on-prem to cloud) via Python scripts, JSON mappings, REST APIs, and validation test suites.”
Travoy Spelling
Senior Data Scientist / ML Engineer specializing in GenAI, LLMs, and NLP
“ML/NLP engineer focused on production GenAI and data linking systems: built a large-scale RAG pipeline over millions of support docs using LangChain/Pinecone and added a LangGraph-based validation layer to cut hallucinations ~40%. Also built scalable PySpark entity resolution (95%+ accuracy) and fine-tuned Sentence-BERT embeddings with contrastive learning for ~30% relevance lift, with strong CI/CD and observability practices (OpenTelemetry, Prometheus/Grafana).”