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Vetted Indexing Professionals
Pre-screened and vetted.
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.”
Yeruva Bala Shreya Reddy
Entry Data Analyst specializing in ETL pipelines and business intelligence
“Analytics candidate with hands-on experience building reliable healthcare reporting layers from messy transactional data using SQL and Python. Stands out for combining data transformation, KPI definition, validation rigor, and performance tuning to deliver reusable reporting assets that improve trust in operational metrics.”
“Full-stack/backend engineer with startup-style experience spanning healthcare and B2B infrastructure SaaS. Has worked across Python, Go, and React/TypeScript, including migrating services from Node.js to Go, building microservices and dashboards, and delivering measurable API performance gains through database tuning and Redis caching.”
Purav Patel
Entry-level Full-Stack Software Engineer specializing in .NET, React, and cloud systems
“Full-stack developer with .NET and cloud-based development experience who has built a practical AI-assisted engineering workflow using Copilot, Claude, and GPT across coding, debugging, testing, and review. Stands out for using AI to accelerate delivery while still applying careful validation and human judgment for high-impact performance and security decisions.”
Vaibhav Dabhi
Mid-level Full-Stack Engineer specializing in AI-powered web platforms
“Solo builder of ZenDSA, a live AI-powered DSA learning product with 37 real users, built end to end using Java/Spring Boot, React, and TypeScript. Particularly interesting for teams building AI products: they designed a production LLM fallback architecture, enforced structured JSON outputs, monitored parse-failure regressions, and fixed an SSRF vulnerability after launch.”
Monil Patel
Junior Software Engineer specializing in backend and cloud systems
“Full-stack engineer with hands-on experience spanning analytics products and fintech infrastructure. Built a YouTube Data Aggregator end-to-end in 2025 with ingestion, dashboards, and predictive modeling, and also shipped Stripe webhook/payment systems at FinPay supporting $5M+ in transactions with 99.9% uptime.”
Entry-level Software Engineer specializing in full-stack, backend, and cloud development
Junior Software Engineer specializing in full-stack and cloud AI systems
Mid-Level Backend Engineer specializing in scalable microservices and event-driven systems
Mid-level Data Scientist specializing in GenAI, MLOps, and computer vision for robotics
Entry-Level Data Scientist specializing in machine learning, NLP, and cloud analytics
Junior Backend Software Engineer specializing in APIs, databases, and AI applications
Mid-level GenAI Engineer specializing in AI agents and FinTech platforms
Senior Full-Stack Engineer specializing in Python/TypeScript web apps and AI (RAG, agentic workflows)
Mid-level Software Engineer specializing in backend systems, data pipelines, and AI/RAG
Senior Full-Stack AWS Developer specializing in cloud-native microservices and serverless systems