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Vetted Database Design Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in Flutter, AI features, and cloud backends
Senior Full-Stack Engineer specializing in BI, eCommerce, and Web3 gaming
Mid-level Full-Stack Software Engineer specializing in .NET and AI-powered web apps
Mid-level Full-Stack Developer specializing in real-time systems, AI features, and payments
Mid-Level Software Engineer specializing in Python backend and API automation
Mid-level Full-Stack .NET Engineer specializing in cloud, APIs, and data analytics
Director-level Unity developer specializing in cross-platform game development
Senior Software Engineer specializing in Python backend, microservices, and cloud/DevOps
Senior Full-Stack Software Engineer specializing in Java/Spring microservices
Mid-Level Full-Stack Software Engineer specializing in backend APIs and cloud-native FinTech
Mid-Level Full-Stack Software Developer specializing in e-commerce automation and web/mobile apps
Senior Full-Stack Developer specializing in MERN, cloud platforms, and LLM-powered applications
Mid-Level Full-Stack .NET Engineer specializing in cloud, APIs, and data analytics
Intern Data Scientist and GenAI Software Engineering specializing in ML and LLM evaluation
Dhairya Shah
Entry-level Machine Learning Engineer specializing in computer vision and systems
“ML-focused builder who has shipped an end-to-end income-class prediction product: built the data pipeline, trained models, deployed via Streamlit with a live UI, and tracked success via accuracy (84%), adoption, and latency. Demonstrates strong practical MLOps instincts (Docker/Streamlit Cloud, logging/monitoring, caching) and data engineering reliability patterns (schema checks, idempotency, retries, backfills) while iterating quickly in ambiguous, solo-project environments.”
Iskhak Ishmakhametov
Mid-level Full-Stack Software Engineer specializing in FinTech and real-time systems
“Full-stack product engineer with a strong real-time systems focus: built and rolled out a WebSocket-based notifications system (with robust reconnect/resync and event ordering protections) that cut update latency to under 200ms. Also owned a workflow automation platform backend in FastAPI (JWT/RBAC, versioned APIs, standardized errors), designed the PostgreSQL schema for workflows/tasks/executions, and operated deployments on AWS ECS Fargate with blue-green CI/CD and performance stabilization via caching and autoscaling.”
Bhargav Kommineni
Intern Full-Stack/ML Engineer specializing in cloud-native web apps and LLM systems
“Machine learning lab assistant at Eastern Illinois University who productionized a voice-enabled conversational AI system: redesigned it with RAG, LoRA fine-tuning (including text-to-SQL), and safety guardrails, then deployed a scalable API supporting ~1,000 daily queries. Also partnered with customer-facing teams during a BlueFi internship by building demos/APIs and accelerating releases via Terraform + AWS CI/CD automation.”
Venkata Bayarapuneni
Junior Full-Stack Developer specializing in JavaScript, Python, and cloud-deployed web apps
“Built and deployed a production LLM-powered travel assistant (Globe Trote) that automates end-to-end trip planning using a multi-step agent pipeline with RAG, external API calls, and enforced structured JSON outputs. Focused on reliability (validation, retries, fallback prompts, logging) and reported a ~30–40% reduction in irrelevant/generic responses after adding retrieval grounding.”