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Vetted Data Ingestion Professionals
Pre-screened and vetted.
Mid-level Full-Stack AI Engineer specializing in web and generative AI solutions
Mid-level Software Engineer specializing in Python automation and GenAI on AWS
Mid-level Data Engineer specializing in cloud-native batch and streaming pipelines
Mid-level Applied AI Engineer specializing in LLM systems for EdTech and FinTech
kireeti Sangarsh
Mid-level Data Engineer specializing in cloud ELT pipelines and analytics engineering
“Data engineer who has owned end-to-end ELT pipelines on Airflow + AWS (S3/Glue/Lambda) with Snowflake/Redshift, processing millions of records per day and tens of GBs via PySpark. Built strong data quality and reliability practices (40% quality improvement, 99%+ uptime), and also designed a resilient web-scraping system with anti-bot defenses and schema-change versioning plus REST APIs for serving curated data.”
Bhuvan Bethapudi
Entry-level Software Engineer specializing in backend and full-stack systems
“Built production-style backend and AI systems across internship and project work, including a real-time sports platform backend and a Smart Email Assistant using GPT-4. Stands out for combining classic backend performance engineering with practical LLM workflow design, including measurable latency improvements, high uptime, and debugging of non-deterministic model behavior.”
Sarang Pratham
Junior Software Engineer specializing in data engineering and GenAI
“Built and deployed a production LLM-powered recruitment chatbot that automates key recruiting steps (sourcing, candidate engagement, screening). Strong in agent orchestration with LangGraph, including guided graph-based workflows, context-aware routing, and reliability measures like clarifying steps plus human-in-the-loop evaluation.”
Ricky Zheng
Senior Backend/AI Engineer specializing in AWS-native data processing and legacy modernization
“Backend/data engineer with hands-on production experience building a FastAPI Python service on AWS for real-time AI workflows (Postgres/Redis, containers behind API Gateway) with strong reliability practices (JWT auth, timeouts/retries, health checks). Has delivered AWS infrastructure using Terraform + GitHub Actions across environments, built Glue ETL pipelines into Snowflake with idempotent recovery, and modernized legacy batch workflows via parallel-run parity validation and phased cutovers.”
Entry-level Tech Lead and UI/UX Designer specializing in AI and web development
Mid-level Implementation Consultant specializing in SaaS onboarding and cybersecurity deployments
Mid-level Data Analyst specializing in marketing and product analytics
Mid-level Full-Stack AI Engineer specializing in RAG systems and intelligent automation
Mid-Level Full-Stack Software Engineer specializing in AWS and RAG pipelines
Junior Software Engineer specializing in full-stack and mobile development
Mid-level QA Engineer specializing in manual testing, UAT, and API/SQL validation
Junior Full-Stack Data Engineer specializing in data pipelines and analytics
Entry-level Software Engineer specializing in cloud data pipelines and iOS development
Entry-Level Full-Stack Software Engineer specializing in backend systems and cloud deployment
Zackary Liel
Junior Software Engineer specializing in full-stack and systems development
“Backend-focused developer who built LinguaTile (language learning app) on a FastAPI + MongoDB monolith deployed to Google Cloud Run, emphasizing async performance and security (RBAC/JWT, rate limiting, request tracing). Also created Mark-RS, a static HTML generator with a 100% CommonMark-compliant Markdown parser, demonstrating strong edge-case rigor and systems robustness.”