Vetted Testing Professionals

“Data engineer who has owned end-to-end production pipelines processing a few million records/day, using Python/Airflow/SQL/PySpark with Snowflake serving to BI (Power BI). Built resilient external web data collection systems (anti-bot, schema-change detection, backfills) and shipped versioned REST APIs for internal consumers, improving pipeline success rates to 99% through monitoring, retries, and idempotent design.”

Jaskirat Singh

Screened

Mid-level Software Engineer specializing in cloud infrastructure and data platforms

Eden Prairie, MN5y exp

“Infrastructure/data platform engineer with hands-on GCP production experience, especially Bigtable, who led a migration from Azure Cosmos DB Cassandra API to Bigtable that removed throttling and cut costs by 50%+. Stands out for combining distributed data architecture, zero-downtime Kafka migration strategy, and Terraform/Python automation for deterministic multi-region GKE operations.”

“Full-stack developer who uses AI thoughtfully as a productivity multiplier rather than a substitute for engineering judgment. Built a stock search platform with React, Node.js, and MongoDB, and has experimented with multi-agent workflows across frontend, backend, debugging, and documentation while keeping rigorous human review over logic, testing, and maintainability.”

“Full stack Python developer who actively integrates AI coding assistants into day-to-day engineering work, including code generation, debugging, testing, and documentation. Has also coordinated multi-agent workflows across backend, frontend, testing, and code review, showing an applied, productivity-focused approach to AI-enabled software delivery.”

Molli Dinesh

Screened

Mid-level AI/ML Engineer specializing in NLP, LLMs, and MLOps

Remote, USA4y exp

“Built an AI-driven insurance policy summarization platform at Marsh, taking it end-to-end from messy PDF ingestion/OCR and custom extraction through LLM fine-tuning and AWS SageMaker deployment. Delivered measurable impact (25% reduction in manual review time, 99% uptime) and demonstrated strong production MLOps/LLMOps practices with Airflow/Step Functions orchestration, rigorous evaluation (ROUGE + human review), and continuous monitoring for drift, latency, and hallucinations.”

Keerthi Kalluri

Screened

Senior Full-Stack & GenAI Engineer specializing in healthcare and financial services

6y exp

“Built and deployed a production LLM-powered customer support assistant using a RAG backend in Python, focused on deflecting repetitive Tier-1 tickets and reducing resolution time. Demonstrates strong production engineering instincts around reliability (confidence scoring + human fallback), scalability/cost optimization (multi-stage pipelines), and workflow orchestration/observability (LangChain, custom DAGs, structured logging, step metrics).”

“Salesforce-focused engineer with hands-on depth across Service Cloud, OmniScript/DataRaptor, LWC, Aura, and Apex. Particularly strong in building metadata-driven workflows that let operations teams change intake flows without developer tickets, while still making disciplined architecture decisions around when custom code is actually warranted.”

Dean Jackson

Screened

Mid-level Game Developer specializing in Unity and VR

4y exp

“Unity lead game developer who shipped two games to Steam for Windows and ported them to Android. Hands-on with gameplay mechanics plus coordinating freelance model/animation work and integrating assets into the game, and uses AI tools to speed up debugging and navigating large codebases.”